Creativity in AI: Progresses and Challenges

Curated collection of papers and resources on the state of creativity in AI (as of Dec 2024)

🗂️ Table of Contents

Creativity
- Definitions
- Theories and Processes
- Evaluation
  - Manual
  - Automated
    - Novelty
    - Value
    - Surprise
    - Diversity
Linguistic Creativity
- Humor
  - Joke
  - Pun
  - Sarcasm
- Figurative Language
  - Metaphor
  - Simile
  - Idiom
  - Hyperbole
- Lexical Innovation
Creative Problem-Solving
Artistic Creativity
Scientific Creativity
Creativity and Copyright
Creative Decoding
Creative Prompt Engineering
Creative Architectures
Surveys
Tutorials

For more information, check out our paper.

Creativity

Artificial Intelligence & Creativity: A Manifesto for Collaboration

Florent Vinchon, Todd Lubart, Sabrina Bartolotta, Valentin Gironnay, Marion Botella, Samira Bourgeois-Bougrine, Jean-Marie Burkhardt, Nathalie Bonnardel, Giovanni Emanuele Corazza, Vlad Petre Glăveanu, Michael Hanchett Hanson, Zorana Ivcevic, Maciej Karwowski, J. Kaufman, Takeshi Okada, Roni Reiter‐Palmon, Andrea Gaggioli

The Journal of Creative Behavior. 2023
Computational Creativity: The Philosophy and Engineering of Autonomously Creative Systems

T. Veale, F.A. Cardoso

Springer. 2019
Computational Creativity: The Final Frontier?

Simon Colton, Geraint A. Wiggins

European Conference on Artificial Intelligence. 2012
Minimally Creative Thought

Dustin Stokes

Metaphilosophy. Wiley. 2011
The Philosophy of Creativity

Berys Gaut

Philosophy Compass. 2010

Definitions

Defining Creativity: A View from the Arts

Anthony Brandt

Creativity Research Journal. Routledge. 2021
Explicating Creativity

Paisley Livingston

Routledge Handbook on Creativity and Philosophy. Routledge. 2018
On the Usefulness of “Value” in the Definition of Creativity

Robert Weisberg

Creativity Research Journal. 2015
The Standard Definition of Creativity

Mark A. Runco, Garrett J. Jaeger

Creativity Research Journal. Routledge. 2012
Taking the U.S. Patent Office Criteria Seriously: A Quantitative Three-Criterion Creativity Definition and Its Implications

Dean Keith Simonton

Creativity Research Journal. Routledge. 2012
Creativity Naturalized

Maria E. Kronfeldner

The Philosophical Quarterly. 2009
The Creative Mind: Myths and Mechanisms

M.A. Boden

Routledge. 2004
What it Means to be Creative

Rudolf Arnheim

British Journal of Aesthetics. 2001
The Eureka Effect: The Art and Logic of Breakthrough Thinking

D.N. Perkins

W. W. Norton, Incorporated. 2001
Creating Creativity: 101 Definitions (what Webster Never Told You)

A.G. Aleinikov, S. Kackmeister, R. Koenig

Alden B. Dow Creativity Center Press. 2000
Creativity and Constraint

David Novitz

Australasian Journal of Philosophy. Routledge. 1999
Creativity: Genius and Other Myths

R.W. Weisberg

W.H. Freeman. 1986
The disposition toward originality

Frank Barron

The Journal of Abnormal and Social Psychology. American Psychological Association. 1955
Creativity and culture

Morris I Stein

Creativity in Art, Religion, and Culture 1953

Theories and Processes

Characterising the Creative Process in Humans and Large Language Models

Surabhi S. Nath, Peter Dayan, Claire Stevenson

International Conference on Computational Creativity 2024
Steering Large Language Models to Evaluate and Amplify Creativity

Matthew Lyle Olson, Neale Ratzlaff, Musashi Hinck, Shao-yen Tseng, Vasudev Lal

NeurIPS 2024 Workshop on Creativity & Generative AI. 2024
Artificial intelligence and the internal processes of creativity

Jaan Aru

Arxiv. 2024
Theories of Creativity

Ronald Beghetto, James Kaufman

Creativity and Innovation Theory, Research, and Practice 2022
Creativity and AI

Demis Hassabis

The Rothschild Foundation Lecture - Royal Academy of Arts. 2018
A Triangular Theory of Creativity

Robert Sternberg

Psychology of Aesthetics, Creativity, and the Arts. 2016
Rewriting the Language of Creativity: The Five A's Framework

Vlad Petre Glăveanu

Review of General Psychology. 2013
Personality and Creativity: The Dual Pathway to Creativity Model and a Research Agenda

Matthijs Baas, Marieke Roskes, Daniel Sligte, Bernard Nijstad, Carsten De Dreu

Social and Personality Psychology Compass. 2013
Computational Creativity Theory: The FACE and IDEA Descriptive Models

Simon Colton, John William Charnley, Alison Pease

International Conference on Innovative Computing and Cloud Computing. 2011
The dual pathway to creativity model: Creative ideation as a function of flexibility and persistence

Bernard A. Nijstad, C. D. De Dreu, Eric F. Rietzschel, Matthijs Baas

European Review of Social Psychology. 2010
Formal Theory of Creativity, Fun, and Intrinsic Motivation (1990–2010)

Jürgen Schmidhuber

IEEE Transactions on Autonomous Mental Development. 2010
Beyond Big and Little: The Four C Model of Creativity

James C. Kaufman, Ronald A. Beghetto

Review of General Psychology. 2009
Creativity Versus the Perception of Creativity in Computational Systems

Simon Colton

AAAI Spring Symposium: Creative Intelligent Systems. 2008
Creativity In Context: Update To The Social Psychology Of Creativity

T.M. Amabile

Avalon Publishing. 1996
The Creative Cognition Approach

S.M. Smith, T.B. Ward, R.A. Finke

BRADFORD BOOK. 1995
An Investment Theory of Creativity and Its Development

Robert J. Sternberg, Todd I. Lubart

Human Development. S. Karger AG. 1991
The Nature of Human Intelligence

J.P. Guilford

McGraw-Hill. 1967
The associative basis of the creative process.

Sarnoff A. Mednick

Psychological review. 1962
An Analysis of Creativity

Mel Rhodes

The Phi Delta Kappan. Phi Delta Kappa International. 1961
The Processes of Creative Thinking

Allen Newell, J. C. Shaw, Herbert A. Simon

Rand Corporation Santa Monica, CA 1959
The Art of Thought

G. Wallas

Solis Press. 1926

Evaluation

Can AI Be as Creative as Humans?

Haonan Wang, James Zou, Michael Mozer, Anirudh Goyal, Alex Lamb, Linjun Zhang, Weijie J Su, Zhun Deng, Michael Qizhe Xie, Hannah Brown, Kenji Kawaguchi

ArXiv. 2024
Large Language Models show both individual and collective creativity comparable to humans

Luning Sun, Yuzhuo Yuan, Yuan Yao, Yanyan Li, Hao Zhang, Xing Xie, Xiting Wang, Fang Luo, David Stillwell

ArXiv. 2024
AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text

Ximing Lu, Melanie Sclar, Skyler Hallinan, Niloofar Mireshghallah, Jiacheng Liu, Seungju Han, Allyson Ettinger, Liwei Jiang, Khyathi Chandu, Nouha Dziri, Yejin Choi

ArXiv. 2024
On the Creativity of Large Language Models

Giorgio Franceschelli, Mirco Musolesi

ArXiv. 2023
On characterizations of large language models and creativity evaluation

Max Peeperkorn, Dan Brown, Anna Jordanous

Association for Computational Creativity. 2023
What makes a good story and how can we measure it? a comprehensive survey of story evaluation

Dingyi Yang, Qin Jin

ArXiv. 2024
Evaluating Computational Creativity: An Interdisciplinary Tutorial

Carolyn Lamb, Daniel G. Brown, Charles L. A. Clarke

ACM Comput. Surv. Association for Computing Machinery. 2018
The longer term value of creativity judgements in computational creativity

Anna Jordanous

2016
Quantifying Creativity in Art Networks

A. Elgammal, Babak Saleh

International Conference on Innovative Computing and Cloud Computing 2015
Computational Creativity Theory: The FACE and IDEA Descriptive Models

Simon Colton, John William Charnley, Alison Pease

International Conference on Innovative Computing and Cloud Computing. 2011
Evaluating creativity in humans, computers, and collectively intelligent systems

Mary Lou Maher

Network Conference on Creativity and Innovation in Design. 2010
Some Empirical Criteria for Attributing Creativity to a Computer Program

Graeme Ritchie

Minds and Machines. 2007
Evaluating Machine Creativity

Alison Pease, Daniel Winterstein, Simon Colton

2002
Assessing Creativity

Graeme D. Ritchie

2001
Why People Think Computers Can't

Marvin Minsky

AI Mag. 1982
Aesthetics and Psychobiology

George Gunkle, Daniel E. Berlyne

1975

Manual

Exploring Quantitative Evaluations of the Creativity of Automatic Poets

Pablo Gervás

2019
Game of Tropes: Exploring the Placebo Effect in Computational Creativity

Tony Veale

International Conference on Innovative Computing and Cloud Computing. 2015
Human Competence in Creativity Evaluation

Carolyn Lamb, Daniel G. Brown, Charles L. A. Clarke

International Conference on Innovative Computing and Cloud Computing. 2015
A Standardised Procedure for Evaluating Creative Systems: Computational Creativity Evaluation Based on What it is to be Creative

Anna Jordanous

Cognitive Computation. 2012
Creativity, the Turing Test, and the (Better) Lovelace Test

Selmer Bringsjord, Paul Bello, David Ferrucci

Minds and Machines. 2000
The social psychology of creativity: A componential conceptualization.

T. M. Amabile

Journal of Personality and Social Psychology. 1983

Automated

Do Language Models Enjoy Their Own Stories? Prompting Large Language Models for Automatic Story Evaluation

Cyril Chhun, Fabian M. Suchanek, Chlo{'e} Clavel

Transactions of the Association for Computational Linguistics. 2024
DeepCreativity: Measuring Creativity with Deep Learning Techniques

Giorgio Franceschelli, Mirco Musolesi

Intelligenza Artificiale. 2022
Of Human Criteria and Automatic Metrics: A Benchmark of the Evaluation of Story Generation

Cyril Chhun, Pierre Colombo, Fabian M. Suchanek, Chloé Clavel

Proceedings of the 29th International Conference on Computational Linguistics. 2022
Regent-Dependent Creativity: A Domain Independent Metric for the Assessment of Creative Artifacts

Celso França, Lu{'i}s Fabr{'i}cio Wanderley G{'o}es, Alvaro Amorim, Rodrigo C. O. Rocha, Alysson Ribeiro Da Silva

International Conference on Innovative Computing and Cloud Computing. 2016
Generating Code For Expressing Simple Preferences: Moving On From Hardcoding And Randomness.

Michael Cook, Simon Colton

ICCC. 2015
Measuring cultural value using social network analysis: a case study on valuing electronic musicians

Anna Jordanous, Daniel Allington, Byron Dueck

Citeseer. 2015
Using AI to evaluate creative designs

Mary Lou Maher, Douglas H Fisher

DS 73-1 Proceedings of the 2nd International Conference on Design Creativity Volume 1. 2012
Domain Specificity and the Limits of Creativity Theory

John Baer

Journal of Creative Behavior. 2012
How creative is your writing? A linguistic creativity measure from computer science and cognitive psychology perspectives

Xiaojin Zhu, Zhiting Xu, Tushar Khot

2009

Novelty

Divergent semantic integration (DSI): Extracting creativity from narratives with distributional semantic modeling

Dan Richard Johnson, J. Kaufman, Brendan S. Baker, John D. Patterson, Baptiste Barbot, Adam E. Green, Janet G. Hell, Evan S. Kennedy, Grace F Sullivan, Christa L. Taylor, Thomas Ward, Roger E. Beaty

Behavior Research Methods. 2022
Automating creativity assessment with SemDis: An open platform for computing semantic distance

Roger E. Beaty, Dan Richard Johnson

Behavior Research Methods. 2020
Towards Machines for Measuring Creativity: The Use of Computational Tools in Storytelling Activities

Pythagoras Karampiperis, Antonis Koukourikos, Evangelia Koliopoulou

2014 IEEE 14th International Conference on Advanced Learning Technologies. 2014
Thin slices of creativity: Using single-word utterances to assess creative cognition

Ranjani Prabhakaran, Adam E. Green, Jeremy R. Gray

Behavior Research Methods. 2013
Semantic Distance: An Automated Measure of Creativity That Is Novel and Appropriate

David Heinen, Dan Johnson

Psychology of Aesthetics, Creativity, and the Arts. 2017
Automated scoring of originality using semantic representations

J. Isaiah Harbison, Henk J. Haarmann

Cognitive Science. 2014
Creativity Evaluation through Latent Semantic Analysis

Eve Forster, Eve Ca, Kevin Dunbar, Dunbar@utsc Ca

Proceedings of the Annual Conference of the Cognitive Science Society. 2009

Value

{D}elta{S}core: Fine-Grained Story Evaluation with Perturbations

Zhuohan Xie, Miao Li, Trevor Cohn, Jey Lau

Findings of the Association for Computational Linguistics: EMNLP 2023. Association for Computational Linguistics. 2023
Vera: A General-Purpose Plausibility Estimation Model for Commonsense Statements

Jiacheng Liu, Wenya Wang, Dianzhuo Wang, Noah Smith, Yejin Choi, Hannaneh Hajishirzi

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics. 2023
StoryER: Automatic Story Evaluation via Ranking, Rating and Reasoning

Hong Chen, Duc Minh Vo, Hiroya Takamura, Yusuke Miyao, Hideki Nakayama

ArXiv. 2022
UNION: An Unreferenced Metric for Evaluating Open-ended Story Generation

Jian Guan, Minlie Huang

ArXiv. 2020

Surprise

Distribution-Based Measures of Surprise for Creative Language: Experiments with Humor and Metaphor

Razvan C. Bunescu, Oseremen O. Uduehi

Proceedings of the 3rd Workshop on Figurative Language Processing (FLP). Association for Computational Linguistics. 2022
Towards Machines for Measuring Creativity: The Use of Computational Tools in Storytelling Activities

Pythagoras Karampiperis, Antonis Koukourikos, Evangelia Koliopoulou

2014 IEEE 14th International Conference on Advanced Learning Technologies. 2014
What to expect when you're expecting: The role of unexpectedness in computationally evaluating creativity

Kazjon Grace, Mary Lou Maher

International Conference on Innovative Computing and Cloud Computing. 2014
Understanding and Quantifying Creativity in Lexical Composition

Polina Kuznetsova, Jianfu Chen, Yejin Choi

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics. 2013
Of bits and wows: A Bayesian theory of surprise with applications to attention

Pierre Baldi, Laurent Itti

Neural networks : the official journal of the International Neural Network Society. 2010
Uncertainty Reduction as a Measure of Cognitive Processing Effort

S. Frank

CMCL@ACL. 2010
Uncertainty About the Rest of the Sentence

John Hale

Cognitive science. 2006

Diversity

Homogenization Effects of Large Language Models on Human Creative Ideation

Barrett R Anderson, Jash Hemant Shah, Max Kreminski

Proceedings of the 16th Conference on Creativity and Cognition. Association for Computing Machinery. 2024
Creativity Has Left the Chat: The Price of Debiasing Language Models

Behnam Mohammadi

2024
Does Writing with Language Models Reduce Content Diversity?

Vishakh Padmakumar, He He

ArXiv. 2023

Linguistic Creativity

Counting the Bugs in {C}hat{GPT}{'}s Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model

Leonie Weissweiler, Valentin Hofmann, Anjali Kantharuban, Anna Cai, Ritam Dutt, Amey Hengle, Anubha Kabra, Atharva Kulkarni, Abhishek Vijayakumar, Haofei Yu, Hinrich Schuetze, Kemal Oflazer, David Mortensen

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics. 2023
“A fork is a food stabber”: Linguistic creativity in English L1 and L2 speakers

Stephen Skalicky, Nancy Bell, Mihai Dascalu, Scott Crossley

Proceedings of the Annual Meeting of the Cognitive Science Society. 2022
How Much Do Language Models Copy From Their Training Data? Evaluating Linguistic Novelty in Text Generation Using RAVEN

R. Thomas McCoy, Paul Smolensky, Tal Linzen, Jianfeng Gao, Asli Celikyilmaz

Transactions of the Association for Computational Linguistics. 2021
What, If Anything, Is Linguistic Creativity?

Alexander Bergs

Gestalt Theory. 2019
The Linguistics Delusion

Geoffrey Sampson

Equinox Publishing. 2017
Linguistic creativity from a cognitive perspective

Britta Zawada

Southern African Linguistics and Applied Language Studies. Routledge. 2006
Conceptual pacts and lexical choice in conversation.

Susan Brennan, Herbert H. Clark

Journal of experimental psychology. Learning, memory, and cognition. 1996
Linguistic Criticism

R. Fowler

Oxford University Press. 1986

Humor

Small But Funny: A Feedback-Driven Approach to Humor Distillation

Sahithya Ravi, Patrick Huber, Akshat Shrivastava, Vered Shwartz, Arash Einolghozati

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Association for Computational Linguistics. 2024
Getting Serious about Humor: Crafting Humor Datasets with Unfunny Large Language Models

Zachary Horvitz, Jingru Chen, Rahul Aditya, Harshvardhan Srivastava, Robert West, Zhou Yu, Kathleen McKeown

ArXiv. 2024
Do Androids Laugh at Electric Sheep? Humor "Understanding" Benchmarks from The New Yorker Caption Contest

Jack Hessel, Ana Marasović, Jena D. Hwang, Lillian Lee, Jeff Da, Rowan Zellers, Robert Mankoff, Yejin Choi

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2023
FunQA: Towards Surprising Video Comprehension

Binzhu Xie, Sicheng Zhang, Zitang Zhou, Bo Li, Yuanhan Zhang, Jack Hessel, Jingkang Yang, Ziwei Liu

ArXiv. 2023
Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation

Shan Zhong, Zhongzhan Huang, Shanghua Gao, Wushao Wen, Liang Lin, Marinka Zitnik, Pan Zhou

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2023
Transfer Learning for Humor Detection by Twin Masked Yellow {M}uppets

Aseem Arora, Ga{"e}l Dias, Adam Jatowt, Asif Ekbal

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers). Association for Computational Linguistics. 2022
The Naughtyformer: A Transformer Understands Offensive Humor

Leonard Tang, Alexander Cai, Steve Li, Jason Wang

2022
The Laughing Machine: Predicting Humor in Video

Yuta Kayatani, Zekun Yang, Mayu Otani, Noa Garcia, Chenhui Chu, Yuta Nakashima, Haruo Takemura

IEEE Winter Conference on Applications of Computer Vision (WACV) 2021
Laughing Heads: Can Transformers Detect What Makes a Sentence Funny?

Maxime Peyrard, Beatriz Borges, Kristina Gligoric, Robert West

International Joint Conference on Artificial Intelligence. 2021
ColBERT: Using BERT sentence embedding in parallel neural networks for computational humor

Issa Annamoradnejad, Gohar Zoghi

Expert Syst. Appl. 2020
Stimulating Creativity with {F}un{L}ines: A Case Study of Humor Generation in Headlines

Nabil Hossain, John Krumm, Tanvir Sajed, Henry Kautz

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations. Association for Computational Linguistics. 2020
A Survey on Approaches to Computational Humor Generation

Miriam Amin, Manuel Burghardt

Proceedings of the 4th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature. International Committee on Computational Linguistics. 2020
Humor Detection in Product Question Answering Systems

Yftah Ziser, Elad Kravi, David Carmel

Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery. 2020
{S}em{E}val-2020 Task 7: Assessing Humor in Edited News Headlines

Nabil Hossain, John Krumm, Michael Gamon, Henry Kautz

Proceedings of the Fourteenth Workshop on Semantic Evaluation. International Committee for Computational Linguistics. 2020
Dutch humor detection by generating negative examples

Thomas Winters, Pieter Delobelle

arXiv preprint arXiv:2010.13652. 2020
Humor Detection: A Transformer Gets the Last Laugh

Orion Weller, Kevin Seppi

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). Association for Computational Linguistics. 2019
Large dataset and language model fun-tuning for humor recognition

Vladislav Blinov, Valeria Bolotova-Baranova, Pavel Braslavski

Proceedings of the 57th annual meeting of the association for computational linguistics. 2019
{``}President Vows to Cut {\textless}Taxes{\textgreater} Hair{''}: Dataset and Analysis of Creative Text Editing for Humorous Headlines

Nabil Hossain, John Krumm, Michael Gamon

Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). Association for Computational Linguistics. 2019
{UR}-{FUNNY}: A Multimodal Language Dataset for Understanding Humor

Md Kamrul Hasan, Wasifur Rahman, AmirAli Bagher Zadeh, Jianyuan Zhong, Md Iftekhar Tanveer, Louis-Philippe Morency, Mohammed (Ehsan) Hoque

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). Association for Computational Linguistics. 2019
Humor Recognition Using Deep Learning

Peng-Yu Chen, V. Soo

North American Chapter of the Association for Computational Linguistics. 2018
Exploiting Syntactic Structures for Humor Recognition

Lizhen Liu, Donghai Zhang, Wei Song

Proceedings of the 27th International Conference on Computational Linguistics. Association for Computational Linguistics. 2018
A crowd-annotated spanish corpus for humor analysis

Santiago Castro, Luis Chiruzzo, Aiala Ros{'a}, Diego Garat, Guillermo Moncecchi

Proceedings of the Sixth International Workshop on Natural Language Processing for Social Media. 2017
{S}em{E}val-2017 Task 6: {#}{H}ashtag{W}ars: Learning a Sense of Humor

Peter Potash, Alexey Romanov, Anna Rumshisky

Proceedings of the 11th International Workshop on Semantic Evaluation ({S}em{E}val-2017). Association for Computational Linguistics. 2017
Deep Learning of Audio and Language Features for Humor Prediction

Dario Bertero, Pascale Fung

Proceedings of the Tenth International Conference on Language Resources and Evaluation ({LREC}'16). European Language Resources Association (ELRA). 2016
Humor in Collective Discourse: Unsupervised Funniness Detection in the New Yorker Cartoon Caption Contest

Dragomir Radev, Amanda Stent, Joel Tetreault, Aasish Pappu, Aikaterini Iliakopoulou, Agustin Chanfreau, Paloma Juan, Jordi Vallmitjana, Alejandro Jaimes, Rahul Jha, Robert Mankoff

Proceedings of the Tenth International Conference on Language Resources and Evaluation ({LREC}'16). European Language Resources Association (ELRA). 2016
Inside Jokes: Identifying Humorous Cartoon Captions

Dafna Shahaf, Eric Horvitz, Robert Mankoff

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 2015
Humor Recognition and Humor Anchor Extraction

Diyi Yang, Alon Lavie, Chris Dyer, Eduard H. Hovy

Conference on Empirical Methods in Natural Language Processing. 2015
Recognizing Humor on Twitter

Renxian Zhang, Naishi Liu

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management. Association for Computing Machinery. 2014
Some experiments in humour recognition using the italian wikiquote collection

Davide Buscaldi, Paolo Rosso

International workshop on fuzzy logic and applications. 2007
{HAHA}cronym: A Computational Humor System

Oliviero Stock, Carlo Strapparava

Proceedings of the {ACL} Interactive Poster and Demonstration Sessions. Association for Computational Linguistics. 2005
Making Computers Laugh: Investigations in Automatic Humor Recognition

Rada Mihalcea, Carlo Strapparava

Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics. 2005
Non-literalness and non-bona-f{^i}de in language: An approach to formal and computational treatments of humor

Jonathan D. Raskin, Salvatore Attardo

Pragmatics & Cognition. 1994

Joke

Is AI fun? HumorDB: a curated dataset and benchmark to investigate graphical humor

Veedant Jain, Felipe Santos Alves Feitosa, Gabriel Kreiman

2024
Is GPT-4 Good Enough to Evaluate Jokes?

Fabr{'i}cio G{'o}es, Piotr Sawicki, Marek Grze´s, Daniel Brown, Marco Volpe

2023
{C}hat{GPT} is fun, but it is not funny! Humor is still challenging Large Language Models

Sophie Jentzsch, Kristian Kersting

Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, {&} Social Media Analysis. Association for Computational Linguistics. 2023
You Told Me That Joke Twice: A Systematic Investigation of Transferability and Robustness of Humor Detection Models

Alexander Baranov, Vladimir Kniazhevsky, Pavel Braslavski

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics. 2023
{S}em{E}val 2021 Task 7: {H}a{H}ackathon, Detecting and Rating Humor and Offense

J. A. Meaney, Steven Wilson, Luis Chiruzzo, Adam Lopez, Walid Magdy

Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021). Association for Computational Linguistics. 2021
Uncertainty and Surprisal Jointly Deliver the Punchline: Exploiting Incongruity-Based Features for Humor Recognition

Yubo Xie, Junze Li, Pearl Pu

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers). Association for Computational Linguistics. 2021
Telling the Whole Story: A Manually Annotated {C}hinese Dataset for the Analysis of Humor in Jokes

Dongyu Zhang, Heting Zhang, Xikai Liu, Hongfei Lin, Feng Xia

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). Association for Computational Linguistics. 2019
Overview of the HAHA Task: Humor Analysis Based on Human Annotation at IberEval 2018

Santiago Castro, Luis Chiruzzo, Aiala Ros{'a}

IberEval@SEPLN. 2018
Neural Joke Generation

He Ren, Quan Yang

2017
Computationally recognizing wordplay in jokes

Julia M Taylor, Lawrence J Mazlack

Proceedings of the Annual Meeting of the Cognitive Science Society. 2004

Pun

{A}mbi{P}un: Generating Humorous Puns with Ambiguous Context

Anirudh Mittal, Yufei Tian, Nanyun Peng

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Association for Computational Linguistics. 2022
Pun Generation with Surprise

He He, Nanyun Peng, Percy Liang

Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). Association for Computational Linguistics. 2019
A Neural Approach to Pun Generation

Zhiwei Yu, Jiwei Tan, Xiaojun Wan

Annual Meeting of the Association for Computational Linguistics. 2018
{S}em{E}val-2017 Task 7: Detection and Interpretation of {E}nglish Puns

Tristan Miller, Christian Hempelmann, Iryna Gurevych

Proceedings of the 11th International Workshop on Semantic Evaluation ({S}em{E}val-2017). Association for Computational Linguistics. 2017

Sarcasm

{R}{^{}}3: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge

Tuhin Chakrabarty, Debanjan Ghosh, Smaranda Muresan, Nanyun Peng

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics. 2020
{S}em{E}val-2018 Task 3: Irony Detection in {E}nglish Tweets

Cynthia Van Hee, Els Lefever, V{'e}ronique Hoste

Proceedings of the 12th International Workshop on Semantic Evaluation. Association for Computational Linguistics. 2018

Figurative Language

A Survey on Automatic Generation of Figurative Language: From Rule-based Systems to Large Language Models

Huiyuan Lai, Malvina Nissim

ACM Computing Surveys. 2024
FLUTE: Figurative Language Understanding through Textual Explanations

Tuhin Chakrabarty, Arkadiy Saakyan, Debanjan Ghosh, Smaranda Muresan

Conference on Empirical Methods in Natural Language Processing. 2022
It’s not Rocket Science: Interpreting Figurative Language in Narratives

Tuhin Chakrabarty, Yejin Choi, Vered Shwartz

Transactions of the Association for Computational Linguistics. 2021
A Survey of Figurative Language and Its Computational Detection in Online Social Networks

Muhammad Abulaish, Ashraf Kamal, Mohammed J. Zaki

ACM Trans. Web. Association for Computing Machinery. 2020
Why do people use figurative language?

Richard M Roberts, Roger J Kreuz

Psychological science. SAGE Publications Sage CA: Los Angeles, CA. 1994
Figurative Language

Anthony M. Paul

Philosophy and Rhetoric. Pennsylvania State University Press. 1970

Metaphor

I Spy a Metaphor: Large Language Models and Diffusion Models Co-Create Visual Metaphors

Tuhin Chakrabarty, Arkadiy Saakyan, Olivia Winn, Artemis Panagopoulou, Yue Yang, Marianna Apidianaki, Smaranda Muresan

Annual Meeting of the Association for Computational Linguistics. 2023
{MERMAID}: Metaphor Generation with Symbolism and Discriminative Decoding

Tuhin Chakrabarty, Xurui Zhang, Smaranda Muresan, Nanyun Peng

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Association for Computational Linguistics. 2021
Metaphor Generation with Conceptual Mappings

Kevin Stowe, Tuhin Chakrabarty, Nanyun Peng, Smaranda Muresan, Iryna Gurevych

ArXiv. 2021
Metaphoric Paraphrase Generation

Kevin Stowe, Leonardo Ribeiro, Iryna Gurevych

ArXiv. 2020
Introducing the {LCC} Metaphor Datasets

Michael Mohler, Mary Brunson, Bryan Rink, Marc Tomlinson

Proceedings of the Tenth International Conference on Language Resources and Evaluation ({LREC}'16). European Language Resources Association (ELRA). 2016
Metaphor: A Computational Perspective

T. Veale, E. Shutova, B. Klebanov

Morgan & Claypool Publishers. 2016
Metaphor as a Medium for Emotion: An Empirical Study

Saif M. Mohammad, Ekaterina Shutova, Peter D. Turney

International Workshop on Semantic Evaluation. 2016

Simile

{HAUSER}: Towards Holistic and Automatic Evaluation of Simile Generation

Qianyu He, Yikai Zhang, Jiaqing Liang, Yuncheng Huang, Yanghua Xiao, Yunwen Chen

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Association for Computational Linguistics. 2023
Generating similes effortlessly like a Pro: A Style Transfer Approach for Simile Generation

Tuhin Chakrabarty, Smaranda Muresan, Nanyun Peng

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics. 2020

Idiom

FLUTE: Figurative Language Understanding through Textual Explanations

Tuhin Chakrabarty, Arkadiy Saakyan, Debanjan Ghosh, Smaranda Muresan

Conference on Empirical Methods in Natural Language Processing. 2022
It’s not Rocket Science: Interpreting Figurative Language in Narratives

Tuhin Chakrabarty, Yejin Choi, Vered Shwartz

Transactions of the Association for Computational Linguistics. 2021

Hyperbole

HypoGen: Hyperbole Generation with Commonsense and Counterfactual Knowledge

Yufei Tian, Arvind Sridhar, Nanyun Peng

ArXiv. 2021

Lexical Innovation

Evaluating Morphological Compositional Generalization in Large Language Models

Mete Ismayilzada, Defne Circi, Jonne Sälevä, Hale Sirin, Abdullatif Köksal, Bhuwan Dhingra, Antoine Bosselut, Lonneke van der Plas, Duygu Ataman

2024
Morphology Matters: Probing the Cross-linguistic Morphological Generalization Abilities of Large Language Models through a Wug Test

Dang Anh, Limor Raviv, Lukas Galke

Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics. Association for Computational Linguistics. 2024
From chocolate bunny to chocolate crocodile: Do Language Models Understand Noun Compounds?

Albert Coil, Vered Shwartz

Findings of the Association for Computational Linguistics: ACL 2023. Association for Computational Linguistics. 2023
Coin it up: generalization of creative constructions in the wild

Julia Watson, Farhan Samir, Suzanne Stevenson, Barend Beekhuizen

Proceedings of the Annual Meeting of the Cognitive Science Society. 2021
How nouns surface as verbs: Inference and generation in word class conversion

Lei Yu, Lana El Sanyoura, Yang Xu

Annual Meeting of the Cognitive Science Society. 2020
Nameling: Creative Neologism Generation with Transfer Learning

Gabriel R Lencione, Rodrigo F Nogueira, Paula Y Pasqualini

International Conference on Computational Creativity. 2022
Learning to Predict Novel Noun-Noun Compounds

Prajit Dhar, Lonneke Plas

Proceedings of the Joint Workshop on Multiword Expressions and WordNet. 2019
{N}euramanteau: A Neural Network Ensemble Model for Lexical Blends

Kollol Das, Shaona Ghosh

Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers). Asian Federation of Natural Language Processing. 2017
Spicy Adjectives and Nominal Donkeys: Capturing Semantic Deviance Using Compositionality in Distributional Spaces

Eva M. Vecchi, Marco Marelli, Roberto Zamparelli, Marco Baroni

Cognitive Science. 2017
{S}em{E}val-2013 Task 4: Free Paraphrases of Noun Compounds

Iris Hendrickx, Zornitsa Kozareva, Preslav Nakov, Diarmuid {'O} S{'e}aghdha, Stan Szpakowicz, Tony Veale

Second Joint Conference on Lexical and Computational Semantics (*{SEM}), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation ({S}em{E}val 2013). Association for Computational Linguistics. 2013
{S}em{E}val-2010 Task 9: The Interpretation of Noun Compounds Using Paraphrasing Verbs and Prepositions

Cristina Butnariu, Su Nam Kim, Preslav Nakov, Diarmuid {'O} S{'e}aghdha, Stan Szpakowicz, Tony Veale

Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions ({SEW}-2009). Association for Computational Linguistics. 2009
Familiarity and creativity in novel compound production.

Dermot Lynott, Bruno G. Bara, Lawrence W. Barsalou, Monica Bucciarelli

2005
Efficient creativity: Constraint-guided conceptual combination

Fintan J Costello, Mark T Keane

Cognitive Science. Wiley Online Library. 2000

Creative Problem-Solving

Human Creativity in the Age of LLMs: Randomized Experiments on Divergent and Convergent Thinking

Harsh Kumar, Jonathan Vincentius, Ewan Jordan, Ashton Anderson

ArXiv. 2024
Creative Problem Solving in Large Language and Vision Models - What Would it Take?

Lakshmi Nair, Evana Gizzi, Jivko Sinapov

ArXiv. 2024
EscapeBench: Pushing Language Models to Think Outside the Box

Cheng Qian, Peixuan Han, Qinyu Luo, Bingxiang He, Xiusi Chen, Yuji Zhang, Hongyi Du, Jiarui Yao, Xiaocheng Yang, Denghui Zhang, Yunzhu Li, Heng Ji

ArXiv. 2024
Benchmarking Language Model Creativity: A Case Study on Code Generation

Yining Lu, Dixuan Wang, Tianjian Li, Dongwei Jiang, Daniel Khashabi

ArXiv. 2024
CreativEval: Evaluating Creativity of LLM-Based Hardware Code Generation

Matthew DeLorenzo, Vasudev Gohil, Jeyavijayan Rajendran

ArXiv. 2024
MacGyver: Are Large Language Models Creative Problem Solvers?

Yufei Tian, Abhilasha Ravichander, Lianhui Qin, Ronan Joseph Le Bras, Raja Marjieh, Nanyun Peng, Yejin Choi, Thomas L. Griffiths, Faeze Brahman

ArXiv. 2023
Creativity, Compositionality, and Common Sense in Human Goal Generation

Guy Davidson, Todd M Gureckis, Brenden M Lake

PsyArXiv. 2022
Expertise as mental set: The effects of domain knowledge in creative problem solving

Jennifer Wiley

Memory & Cognition. 1998
Incubation and the Persistence of Fixation in Problem Solving

Steven Smith, Steven Blankenship

The American journal of psychology. 1991
Rigidity of Behavior. A Variational Approach to the Effect of Einstellung.Abraham S. Luchins , Edith Hirsch Luchins

Theodore Xenophon Barber

The Quarterly Review of Biology. 1960
Applied imagination : principles and procedures of creative problem-solving

Alexander Faickney Osborn

1957
On Problem-solving

K. Duncker, L.S. Lees

American Psychological Ass. 1948

Convergent Thinking

Connecting the Dots: Evaluating Abstract Reasoning Capabilities of LLMs Using the New York Times Connections Word Game

Prisha Samadarshi, Mariam Mustafa, Anushka Kulkarni, Raven Rothkopf, Tuhin Chakrabarty, Smaranda Muresan

2024
Large Language Models are Fixated by Red Herrings: Exploring Creative Problem Solving and Einstellung Effect using the Only Connect Wall Dataset

Saeid Naeini, Raeid Saqur, Mozhgan Saeidi, John Giorgi, Babak Taati

Proceedings of the 37th International Conference on Neural Information Processing Systems 2023
RiddleSense: Reasoning about Riddle Questions Featuring Linguistic Creativity and Commonsense Knowledge

Bill Yuchen Lin, Ziyi Wu, Yichi Yang, Dong-Ho Lee, Xiang Ren

Findings. 2021
Once more with feeling: Normative data for the aha experience in insight and noninsight problems

Margaret Webb, Daniel Little, Simon Cropper

Behavior Research Methods. 2017
The associative basis of the creative process.

Sarnoff A. Mednick

Psychological review. 1962

Divergent Thinking

The current state of artificial intelligence generative language models is more creative than humans on divergent thinking tasks

Kent F Hubert, Kim N. Awa, Darya L. Zabelina

Scientific Reports. 2024
{L}at{E}val: An Interactive {LLM}s Evaluation Benchmark with Incomplete Information from Lateral Thinking Puzzles

Shulin Huang, Shirong Ma, Yinghui Li, Mengzuo Huang, Wuhe Zou, Weidong Zhang, Haitao Zheng

Proceedings of the 2024 Joint International Conference on Computational Linguistics,Language Resources and Evaluation (LREC-COLING 2024) 2024
Assessing and Understanding Creativity in Large Language Models

Yunpu Zhao, Rui Zhang, Wenyi Li, Di Huang, Jiaming Guo, Shaohui Peng, Yifan Hao, Yuanbo Wen, Xingui Hu, Zidong Du, Qi Guo, Ling Li, Yunji Chen

ArXiv. 2024
Divergent Creativity in Humans and Large Language Models

Antoine Bellemare-Pepin, François Lespinasse, Philipp Thölke, Yann Harel, Kory Mathewson, Jay A. Olson, Yoshua Bengio, Karim Jerbi

ArXiv. 2024
Best humans still outperform artificial intelligence in a creative divergent thinking task

Mika Koivisto, Simone Grassini

Scientific Reports. 2023
Artificial muses: Generative Artificial Intelligence Chatbots Have Risen to Human-Level Creativity

Jennifer Haase, Paul H. P. Hanel

Arxiv. 2023
Pushing GPT’s Creativity to Its Limits: Alternative Uses and Torrance Tests

Fabr{'i}cio G{'o}es, Marco Volpe, Piotr Sawicki, Marek Grze´s, Jacob Watson

2023
The Originality of Machines: AI Takes the Torrance Test.

Erik E. Guzik, Christian Byrge, Christian Gilde

Journal of Creativity. 2023
Probing the Creativity of Large Language Models: Can models produce divergent semantic association?

Honghua Chen, Nai Ding

Conference on Empirical Methods in Natural Language Processing. 2023
Is artificial intelligence more creative than humans?: ChatGPT and the divergent association task

David Cropley

Learning Letters. 2023
BRAINTEASER: Lateral Thinking Puzzles for Large Language Models

Yifan Jiang, Filip Ilievski, Kaixin Ma

Conference on Empirical Methods in Natural Language Processing. 2023
UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations

Wenting Zhao, Justin T Chiu, Jena D. Hwang, Faeze Brahman, Jack Hessel, Sanjiban Choudhury, Yejin Choi, Xiang Lorraine Li, Alane Suhr

ArXiv. 2023
Putting GPT-3's Creativity to the (Alternative Uses) Test

Claire Stevenson, Iris Smal, Matthijs Baas, Raoul Grasman, Han Maas

International Conference on Computational Creativity. 2022
Naming unrelated words predicts creativity

Jay A. Olson, Johnny Nahas, Denis Chmoulevitch, Simon J. Cropper, Margaret E. Webb

Proceedings of the National Academy of Sciences of the United States of America. 2021
Torrance Tests of Creative Thinking: Verbal Tests, Forms A and B, Figural Tests, Forms A and B

E.P. Torrance

Xerox. 1974
The Nature of Human Intelligence

J.P. Guilford

McGraw-Hill. 1967

Abstraction

Comparing Abstraction in Humans and Large Language Models Using Multimodal Serial Reproduction

Sreejan Kumar, Raja Marjieh, Byron Zhang, Declan Campbell, Michael Y. Hu, Umang Bhatt, Brenden Lake, Thomas L. Griffiths

ArXiv. 2024
The Curious Case of Nonverbal Abstract Reasoning with Multi-Modal Large Language Models

Kian Ahrabian, Zhivar Sourati, Kexuan Sun, Jiarui Zhang, Yifan Jiang, Fred Morstatter, Jay Pujara

ArXiv. 2024
The KANDY Benchmark: Incremental Neuro-Symbolic Learning and Reasoning with Kandinsky Patterns

Luca Salvatore Lorello, Marco Lippi, Stefano Melacci

ArXiv. 2024
Large Language Models Are Not Strong Abstract Reasoners

Ga{"e}l Gendron, Qiming Bao, M. Witbrock, Gillian Dobbie

2023
Comparing Humans, GPT-4, and GPT-4V On Abstraction and Reasoning Tasks

Melanie Mitchell, Alessandro B. Palmarini, Arseny Moskvichev

ArXiv. 2023
The ConceptARC Benchmark: Evaluating Understanding and Generalization in the ARC Domain

Arseny Moskvichev, Victor Vikram Odouard, Melanie Mitchell

ArXiv. 2023
LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based Representations

Yudong Xu, Wenhao Li, Pashootan Vaezipoor, Scott Sanner, Elias Boutros Khalil

ArXiv. 2023
Large Language Models as General Pattern Machines

Suvir Mirchandani, F. Xia, Peter R. Florence, Brian Ichter, Danny Driess, Montse Gonzalez Arenas, Kanishka Rao, Dorsa Sadigh, Andy Zeng

ArXiv. 2023
Graphs, Constraints, and Search for the Abstraction and Reasoning Corpus

Yudong Xu, Elias Boutros Khalil, Scott Sanner

AAAI Conference on Artificial Intelligence. 2022
Evaluating Understanding on Conceptual Abstraction Benchmarks

Victor Vikram Odouard, Melanie Mitchell

ArXiv. 2022
Abstraction and analogy‐making in artificial intelligence

Melanie Mitchell

Annals of the New York Academy of Sciences. Wiley. 2021
ACRE: Abstract Causal REasoning Beyond Covariation

Chi Zhang, Baoxiong Jia, Mark Edmonds, Song-Chun Zhu, Yixin Zhu

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2021
KANDINSKY Patterns as IQ-Test for Machine Learning

Andreas Holzinger, Michael D. Kickmeier-Rust, Heimo M{"u}ller

International Cross-Domain Conference on Machine Learning and Knowledge Extraction. 2019
On the Measure of Intelligence

François Chollet

ArXiv. 2019
RAVEN: A Dataset for Relational and Analogical Visual REasoNing

Chi Zhang, Feng Gao, Baoxiong Jia, Yixin Zhu, Song-Chun Zhu

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2019
Measuring abstract reasoning in neural networks

Adam Santoro, Felix Hill, David G. T. Barrett, Ari S. Morcos, Timothy P. Lillicrap

ArXiv. 2018
Pattern recognition

M. M. Bongard

1970
Raven Progressive Matrices

John Carlyle Raven

1938

Analogy-Making

Abstraction and analogy‐making in artificial intelligence

Melanie Mitchell

Annals of the New York Academy of Sciences. Wiley. 2021
The Latent Relation Mapping Engine: Algorithm and Experiments

Peter D. Turney

J. Artif. Intell. Res. 2008
Analogy as the Core of Cognition

Douglas Hofstadter

MIT Press. 2001
The Structure-Mapping Engine: Algorithm and Examples

Brian Falkenhainer, Kenneth D. Forbus, Dedre Gentner

Artif. Intell. 1989
Structure-Mapping: A Theoretical Framework for Analogy

Dedre Gentner

Cogn. Sci. 1983

Word Analogies

FAME: Flexible, Scalable Analogy Mappings Engine

Shahar Jacob, Chen Shani, Dafna Shahaf

Conference on Empirical Methods in Natural Language Processing. 2023
Transferring Learned Models of Morphological Analogy

Esteban Marquer, Pierre-Alexandre Murena, Miguel Couceiro

2022
{BERT} is to {NLP} what {A}lex{N}et is to {CV}: Can Pre-Trained Language Models Identify Analogies?

Asahi Ushio, Luis Espinosa Anke, Steven Schockaert, Jose Camacho-Collados

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). Association for Computational Linguistics. 2021
Analogy-based detection of morphological and semantic relations with word embeddings: what works and what doesn{'}t.

Anna Gladkova, Aleksandr Drozd, Satoshi Matsuoka

Proceedings of the {NAACL} Student Research Workshop. Association for Computational Linguistics. 2016
Distributed Representations of Words and Phrases and their Compositionality

Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, Jeff Dean

Advances in Neural Information Processing Systems. Curran Associates, Inc. 2013

Sentence Analogies

ANALOGICAL - A Novel Benchmark for Long Text Analogy Evaluation in Large Language Models

Thilini Wijesiriwardene, Ruwan Wickramarachchi, Bimal Gajera, Shreeyash Mukul Gowaikar, Chandan Gupta, Aman Chadha, Aishwarya N. Reganti, Amit P. Sheth, Amitava Das

ArXiv. 2023
Sentence Analogies: Linguistic Regularities in Sentence Embeddings

Xunjie Zhu, Gerard Melo

Proceedings of the 28th International Conference on Computational Linguistics. International Committee on Computational Linguistics. 2020

Story Analogies

{S}tory{A}nalogy: Deriving Story-level Analogies from Large Language Models to Unlock Analogical Understanding

Cheng Jiayang, Lin Qiu, Tsz Chan, Tianqing Fang, Weiqi Wang, Chunkit Chan, Dongyu Ru, Qipeng Guo, Hongming Zhang, Yangqiu Song, Yue Zhang, Zheng Zhang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics. 2023
ARN: Analogical Reasoning on Narratives

Zhivar Sourati, Filip Ilievski, Pia Sommerauer

2023
Understanding Narratives through Dimensions of Analogy

Thiloshon Nagarajah, Filip Ilievski, Jay Pujara

2022
Life is a Circus and We are the Clowns: Automatically Finding Analogies between Situations and Processes

Oren Sultan, Dafna Shahaf

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics. 2022

Visual Analogies

Do Large Language Models Solve ARC Visual Analogies Like People Do?

Gustaw Opielka, Hannes Rosenbusch, Veerle Vijverberg, Claire E. Stevenson

ArXiv. 2024
VASR: Visual Analogies of Situation Recognition

Yonatan Bitton, Ron Yosef, Eli Strugo, Dafna Shahaf, Roy Schwartz, Gabriel Stanovsky

2022

Scientific Analogies

Beneath Surface Similarity: Large Language Models Make Reasonable Scientific Analogies after Structure Abduction

Siyu Yuan, Jiangjie Chen, Xuyang Ge, Yanghua Xiao, Deqing Yang

Conference on Empirical Methods in Natural Language Processing. 2023
Scientific and Creative Analogies in Pretrained Language Models

Tamara Czinczoll, Helen Yannakoudakis, Pushkar Mishra, Ekaterina Shutova

Findings of the Association for Computational Linguistics: EMNLP 2022. Association for Computational Linguistics. 2022

Analogical Reasoning

Using Counterfactual Tasks to Evaluate the Generality of Analogical Reasoning in Large Language Models

Martha Lewis, Melanie Mitchell

ArXiv. 2024
Semantic Structure-Mapping in LLM and Human Analogical Reasoning

Sam Musker, Alex Duchnowski, Raphael Milliere, Ellie Pavlick

2024
Can language models learn analogical reasoning? Investigating training objectives and comparisons to human performance

Molly R. Petersen, Lonneke Plas

Conference on Empirical Methods in Natural Language Processing. 2023
In-Context Analogical Reasoning with Pre-Trained Language Models

Xiaoyang Hu, Shane Storks, Richard L. Lewis, Joyce Yue Chai

Annual Meeting of the Association for Computational Linguistics. 2023
Large Language Models as Analogical Reasoners

Michihiro Yasunaga, Xinyun Chen, Yujia Li, Panupong Pasupat, Jure Leskovec, Percy Liang, Ed Huai-hsin Chi, Denny Zhou

ArXiv. 2023
Emergent analogical reasoning in large language models

Taylor W. Webb, Keith J. Holyoak, Hongjing Lu

Nature Human Behaviour. 2022

Artistic Creativity

Story Generation

Evaluating Creative Short Story Generation in Humans and Large Language Models

Mete Ismayilzada, Claire Stevenson, Lonneke van der Plas

ArXiv. 2024
Pron vs Prompt: Can Large Language Models already Challenge a World-Class Fiction Author at Creative Text Writing?

Guillermo Marco, Julio Gonzalo, Ram'on Castillo, Mar'ia Teresa Mateo Girona

ArXiv. 2024
Are Large Language Models Capable of Generating Human-Level Narratives?

Yufei Tian, Tenghao Huang, Miri Liu, Derek Jiang, Alexander Spangher, Muhao Chen, Jonathan May, Nanyun Peng

ArXiv. 2024
Investigating Wit, Creativity, and Detectability of Large Language Models in Domain-Specific Writing Style Adaptation of Reddit's Showerthoughts

Tolga Buz, Benjamin Frost, Nikola Genchev, Moritz Schneider, Lucie-Aimée Kaffee, Gerard de Melo

StarSEM. 2024
Art or Artifice? Large Language Models and the False Promise of Creativity

Tuhin Chakrabarty, Philippe Laban, Divyansh Agarwal, Smaranda Muresan, Chien-Sheng Wu

Proceedings of the CHI Conference on Human Factors in Computing Systems. 2023
A Confederacy of Models: a Comprehensive Evaluation of LLMs on Creative Writing

Carlos Gómez-Rodríguez, Paul Williams

Findings of the Association for Computational Linguistics: EMNLP 2023
The Next Chapter: A Study of Large Language Models in Storytelling

Zhuohan Xie, Trevor Cohn, Jey Han Lau

Proceedings of the 16th International Natural Language Generation Conference 2023
Dialogues: The Science and Power of Storytelling

Wendy A. Suzuki, M{'o}nica I. Feli{'u}-M{'o}jer, Uri Hasson, Rachel Yehuda, Jean Mary Zarate

Journal of Neuroscience. Society for Neuroscience. 2018
Evidence of muddy knowledge in reaching for the stars: Creating novel endings to event sequences.

Rebecca Maguire

2004

Datasets

Visual Writing Prompts: Character-Grounded Story Generation with Curated Image Sequences

Xudong Hong, Asad Sayeed, Khushboo Mehra, Vera Demberg, Bernt Schiele

Transactions of the Association for Computational Linguistics. MIT Press. 2023
{S}tory{W}ars: A Dataset and Instruction Tuning Baselines for Collaborative Story Understanding and Generation

Yulun Du, Lydia Chilton

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Association for Computational Linguistics. 2023
{STORIUM}: {A} {D}ataset and {E}valuation {P}latform for {M}achine-in-the-{L}oop {S}tory {G}eneration

Nader Akoury, Shufan Wang, Josh Whiting, Stephen Hood, Nanyun Peng, Mohit Iyyer

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics. 2020
Deep Dungeons and Dragons: Learning Character-Action Interactions from Role-Playing Game Transcripts

Annie Louis, Charles Sutton

Proceedings of the 2018 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers). Association for Computational Linguistics. 2018

Methods

Re3: Generating Longer Stories With Recursive Reprompting and Revision

Kevin Yang, Yuandong Tian, Nanyun Peng, Dan Klein

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics. 2022
Creativity Support in the Age of Large Language Models: An Empirical Study Involving Emerging Writers

Tuhin Chakrabarty, Vishakh Padmakumar, Faeze Brahman, Smaranda Muresan

ArXiv. 2023
Co-Writing Screenplays and Theatre Scripts with Language Models: Evaluation by Industry Professionals

Piotr Wojciech Mirowski, Kory Wallace Mathewson, Jaylen Pittman, Richard Evans

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. 2022
PEER: A Collaborative Language Model

Timo Schick, Jane Dwivedi-Yu, Zhengbao Jiang, Fabio Petroni, Patrick Lewis, Gautier Izacard, Qingfei You, Christoforos Nalmpantis, Edouard Grave, Sebastian Riedel

ArXiv. 2022
TaleBrush: Sketching Stories with Generative Pretrained Language Models

John Joon Young Chung, Wooseok Kim, Kang Min Yoo, Hwaran Lee, Eytan Adar, Minsuk Chang

Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems. 2022
Wordcraft: Story Writing With Large Language Models

Ann Yuan, Andy Coenen, Emily Reif, Daphne Ippolito

Proceedings of the 27th International Conference on Intelligent User Interfaces. 2022
{COINS}: Dynamically Generating {CO}ntextualized Inference Rules for Narrative Story Completion

Debjit Paul, Anette Frank

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). Association for Computational Linguistics. 2021
Story Centaur: Large Language Model Few Shot Learning as a Creative Writing Tool

Benjamin Swanson, Kory Wallace Mathewson, Ben Pietrzak, Sherol Chen, Monica Dinalescu

Conference of the European Chapter of the Association for Computational Linguistics. 2021
A Plug-and-Play Method for Controlled Text Generation

Damian Pascual, B{'e}ni Egressy, Clara Meister, Ryan Cotterell, Roger Wattenhofer

ArXiv. 2021
PlotMachines: Outline-Conditioned Generation with Dynamic Plot State Tracking

Hannah Rashkin, Asli Celikyilmaz, Yejin Choi, Jianfeng Gao

ArXiv. 2020
Content Planning for Neural Story Generation with Aristotelian Rescoring

Seraphina Goldfarb-Tarrant, Tuhin Chakrabarty, Ralph Weischedel, Nanyun Peng

The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). 2020
Plan-And-Write: Towards Better Automatic Storytelling

Lili Yao, Nanyun Peng, Weischedel Ralph, Kevin Knight, Dongyan Zhao, Rui Yan

The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19). 2019
Plug and Play Language Models: A Simple Approach to Controlled Text Generation

Sumanth Dathathri, Andrea Madotto, Janice Lan, Jane Hung, Eric Frank, Piero Molino, Jason Yosinski, Rosanne Liu

ArXiv. 2019
Controllable Neural Story Plot Generation via Reward Shaping

Pradyumna Tambwekar, Murtaza Dhuliawala, Lara J. Martin, Animesh Mehta, Brent Harrison, Mark O. Riedl

International Joint Conference on Artificial Intelligence. 2018
Hierarchical Neural Story Generation

Angela Fan, Mike Lewis, Yann Dauphin

Annual Meeting of the Association for Computational Linguistics. 2018
MEXICA: A computer model of a cognitive account of creative writing

Rafael P{'e}rez P{'e}rez, Mike Sharples

Journal of Experimental & Theoretical Artificial Intelligence. 2001
The Creative Process: A Computer Model of Storytelling and Creativity

Scott R. Turner

1994
Creating characters in a story-telling universe

Michael Lebowitz

Poetics. 1984
Creating a Story-Telling Universe

Michael Lebowitz

International Joint Conference on Artificial Intelligence. 1983
TALE-SPIN, An Interactive Program that Writes Stories

James R. Meehan

International Joint Conference on Artificial Intelligence. 1977

Poetry

AI-generated poetry is indistinguishable from human-written poetry and is rated more favorably

Brian Porter, Edouard Machery

Nature. 2024

Datasets

The Gutenberg English Poetry Corpus: Exemplary Quantitative Narrative Analyses

Arthur M. Jacobs

Frontiers in Digital Humanities. 2018

Methods

GPoeT: a Language Model Trained for Rhyme Generation on Synthetic Data

Andrei Popescu-Belis, {`A}lex R. Atrio, Bastien Bernath, Etienne Boisson, Teo Ferrari, Xavier Theimer-lienhard, Giorgos Vernikos

Proceedings of the 7th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature. 2023
Creative Data Generation: A Review Focusing on Text and Poetry

Mohamad Elzohbi, Richard Zhao

ArXiv. 2023
ByGPT5: End-to-End Style-conditioned Poetry Generation with Token-free Language Models

Jonas Belouadi, Steffen Eger

ArXiv. 2022
Zero-shot Sonnet Generation with Discourse-level Planning and Aesthetics Features

Yufei Tian, Nanyun Peng

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Association for Computational Linguistics. 2022
PoeLM: A Meter- and Rhyme-Controllable Language Model for Unsupervised Poetry Generation

Aitor Ormazabal, Mikel Artetxe, Manex Agirrezabal, Aitor Soroa Etxabe, Eneko Agirre

Conference on Empirical Methods in Natural Language Processing. 2022
Help me write a Poem - Instruction Tuning as a Vehicle for Collaborative Poetry Writing

Tuhin Chakrabarty, Vishakh Padmakumar, Hengxing He

ArXiv. 2022
Automatic Poetry Generation from Prosaic Text

Tim Cruys

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics. 2020
Acrostic Poem Generation

Rajat Agarwal, Katharina Kann

2020
Beyond Narrative Description: Generating Poetry from Images by Multi-Adversarial Training

Bei Liu, Jianlong Fu, Makoto P. Kato, Masatoshi Yoshikawa

Proceedings of the 26th ACM international conference on Multimedia. ACM. 2018
Deep-speare: A joint neural model of poetic language, meter and rhyme

Jey Han Lau, Trevor Cohn, Timothy Baldwin, Julian Brooke, Adam Hammond

Annual Meeting of the Association for Computational Linguistics. 2018
A Survey on Intelligent Poetry Generation: Languages, Features, Techniques, Reutilisation and Evaluation

Hugo Gonçalo Oliveira

International Conference on Natural Language Generation. 2017
Generating Topical Poetry

Marjan Ghazvininejad, Xing Shi, Yejin Choi, Kevin Knight

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics. 2016
Chinese Poetry Generation with Recurrent Neural Networks

Xingxing Zhang, Mirella Lapata

Conference on Empirical Methods in Natural Language Processing. 2014
Full-FACE Poetry Generation

Simon Colton, Jacob Goodwin, Tony Veale

International Conference on Innovative Computing and Cloud Computing. 2012
PoeTryMe : a versatile platform for poetry generation

Hugo Gonçalo Oliveira

2012
Using genetic algorithms to create meaningful poetic text

Ruli Manurung, Graeme D. Ritchie, Henry S. Thompson

Journal of Experimental & Theoretical Artificial Intelligence. 2012
An evolutionary algorithm approach to poetry generation

Hisar Maruli Manurung

2004
A Flexible Integrated Architecture For Generating Poetic Texts

Ruli Manurung, Graeme Ritchie, Henry Thompson

2000
The Policeman's Beard Is Half Constructed

Racter

1984
'Computerized haiku', in Cybernetics, art and ideas

Margaret Masterman

London Studio Vista. 1971
The Possible Usefulness of Poetry Generation.

Louis T. Milic

1970

Visual Creativity

An analytic theory of creativity in convolutional diffusion models

Mason Kamb, Surya Ganguli

ArXiv. 2024
Conditional Image Generation with PixelCNN Decoders

A{"a}ron Oord, Nal Kalchbrenner, Lasse Espeholt, Koray Kavukcuoglu, Oriol Vinyals, Alex Graves

ArXiv. 2016
Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis

Chuan Li, Michael Wand

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2016
Pixel Recurrent Neural Networks

A{"a}ron Oord, Nal Kalchbrenner, Koray Kavukcuoglu

International Conference on Machine Learning. 2016
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Alec Radford, Luke Metz, Soumith Chintala

CoRR. 2015

Image Editing

Empowering Visual Creativity: A Vision-Language Assistant to Image Editing Recommendations

Tiancheng Shen, Jun Hao Liew, Long Mai, Lu Qi, Jiashi Feng, Jiaya Jia

ArXiv. 2024
Prompt-to-Prompt Image Editing with Cross Attention Control

Amir Hertz, Ron Mokady, Jay M. Tenenbaum, Kfir Aberman, Yael Pritch, Daniel Cohen-Or

ArXiv. 2022
Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation

Elad Richardson, Yuval Alaluf, Or Patashnik, Yotam Nitzan, Yaniv Azar, Stav Shapiro, Daniel Cohen-Or

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2020
Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?

Rameen Abdal, Yipeng Qin, Peter Wonka

2019 IEEE/CVF International Conference on Computer Vision (ICCV). 2019
Analyzing and Improving the Image Quality of StyleGAN

Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, Timo Aila

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2019
Multimodal Unsupervised Image-to-Image Translation

Xun Huang, Ming-Yu Liu, Serge J. Belongie, Jan Kautz

European Conference on Computer Vision. 2018
A Style-Based Generator Architecture for Generative Adversarial Networks

Tero Karras, Samuli Laine, Timo Aila

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2018
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Christian Ledig, Lucas Theis, Ferenc Husz{'a}r, Jose Caballero, Andrew P. Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, Wenzhe Shi

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution

Justin Johnson, Alexandre Alahi, Li Fei-Fei

ArXiv. 2016
A Learned Representation For Artistic Style

Vincent Dumoulin, Jonathon Shlens, Manjunath Kudlur

ArXiv. 2016
Image-to-Image Translation with Conditional Adversarial Networks

Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, Alexei A. Efros

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2016
Colorful Image Colorization

Richard Zhang, Phillip Isola, Alexei A. Efros

European Conference on Computer Vision. 2016
Context Encoders: Feature Learning by Inpainting

Deepak Pathak, Philipp Kr{"a}henb{"u}hl, Jeff Donahue, Trevor Darrell, Alexei A. Efros

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2016
A Neural Algorithm of Artistic Style

Leon A. Gatys, Alexander S. Ecker, Matthias Bethge

ArXiv. 2015
Learning a Deep Convolutional Network for Image Super-Resolution

Chao Dong, Chen Change Loy, Kaiming He, Xiaoou Tang

European Conference on Computer Vision. 2014

Text-to-Image

CreativeSynth: Creative Blending and Synthesis of Visual Arts based on Multimodal Diffusion

Nisha Huang, Weiming Dong, Yuxin Zhang, Fan Tang, Ronghui Li, Chongyang Ma, Xiu Li, Changsheng Xu

ArXiv. 2024
Understanding and Mitigating Compositional Issues in Text-to-Image Generative Models

Arman Zarei, Keivan Rezaei, Samyadeep Basu, Mehrdad Saberi, Mazda Moayeri, Priyatham Kattakinda, Soheil Feizi

ArXiv. 2024
A Comparative Investigation of Compositional Syntax and Semantics in DALL-E 2

Elliot Murphy, Jill Villiers, Sofia Morales

ArXiv. 2024
InstructDiffusion: A Generalist Modeling Interface for Vision Tasks

Zigang Geng, Binxin Yang, Tiankai Hang, Chen Li, Shuyang Gu, Ting Zhang, Jianmin Bao, Zheng Zhang, Han Hu, Dongdong Chen, Baining Guo

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2023
T2I-CompBench: A Comprehensive Benchmark for Open-world Compositional Text-to-image Generation

Kaiyi Huang, Kaiyue Sun, Enze Xie, Zhenguo Li, Xihui Liu

ArXiv. 2023
Qualitative Failures of Image Generation Models and Their Application in Detecting Deepfakes

Ali Borji

ArXiv. 2023
InstructPix2Pix: Learning to Follow Image Editing Instructions

Tim Brooks, Aleksander Holynski, Alexei A. Efros

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2022
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, Kfir Aberman

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2022
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding

Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily L. Denton, Seyed Kamyar Seyed Ghasemipour, Burcu Karagol Ayan, Seyedeh Sara Mahdavi, Raphael Gontijo Lopes, Tim Salimans, Jonathan Ho, David J. Fleet, Mohammad Norouzi

ArXiv. 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents

Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, Mark Chen

ArXiv. 2022
Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors

Oran Gafni, Adam Polyak, Oron Ashual, Shelly Sheynin, Devi Parikh, Yaniv Taigman

ArXiv. 2022
Draw Your Art Dream: Diverse Digital Art Synthesis with Multimodal Guided Diffusion

Nisha Huang, Fan Tang, Weiming Dong, Changsheng Xu

Proceedings of the 30th ACM International Conference on Multimedia. 2022
DALLE-2 is Seeing Double: Flaws in Word-to-Concept Mapping in Text2Image Models

Royi Rassin, Shauli Ravfogel, Yoav Goldberg

ArXiv. 2022
A very preliminary analysis of DALL-E 2

Gary Marcus, Ernest Davis, Scott Aaronson

ArXiv. 2022
Winoground: Probing Vision and Language Models for Visio-Linguistic Compositionality

Tristan Thrush, Ryan Jiang, Max Bartolo, Amanpreet Singh, Adina Williams, Douwe Kiela, Candace Ross

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2022
DALL-E 2 Fails to Reliably Capture Common Syntactic Processes

Evelina Leivada, Elliot Murphy, Gary Marcus

ArXiv. 2022
Testing Relational Understanding in Text-Guided Image Generation

Colin Conwell, Tomer David Ullman

ArXiv. 2022
Zero-Shot Text-to-Image Generation

Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, Scott Gray, Chelsea Voss, Alec Radford, Mark Chen, Ilya Sutskever

ArXiv. 2021
StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery

Or Patashnik, Zongze Wu, Eli Shechtman, Daniel Cohen-Or, Dani Lischinski

2021 IEEE/CVF International Conference on Computer Vision (ICCV). 2021
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Alex Nichol, Prafulla Dhariwal, Aditya Ramesh, Pranav Shyam, Pamela Mishkin, Bob McGrew, Ilya Sutskever, Mark Chen

International Conference on Machine Learning. 2021
High-Resolution Image Synthesis with Latent Diffusion Models

Robin Rombach, A. Blattmann, Dominik Lorenz, Patrick Esser, Bj{"o}rn Ommer

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2021
Improving Image Generation with Better Captions

James Betker, Gabriel Goh, Li Jing, TimBrooks, Jianfeng Wang, Linjie Li, Long Ouyang, Juntang Zhuang, Joyce Lee, Yufei Guo, Wesam Manassra, Prafulla Dhariwal, Casey Chu, Yunxin Jiao, Aditya Ramesh

2020
StackGAN: Text to Photo-Realistic Image Synthesis with Stacked Generative Adversarial Networks

Han Zhang, Tao Xu, Hongsheng Li, Shaoting Zhang, Xiaogang Wang, Xiaolei Huang, Dimitris N. Metaxas

2017 IEEE International Conference on Computer Vision (ICCV). 2016
Generative Adversarial Text to Image Synthesis

Scott E. Reed, Zeynep Akata, Xinchen Yan, Lajanugen Logeswaran, Bernt Schiele, Honglak Lee

International Conference on Machine Learning. 2016
Learning What and Where to Draw

Scott E. Reed, Zeynep Akata, Santosh Mohan, Samuel Tenka, Bernt Schiele, Honglak Lee

ArXiv. 2016
Generating Images from Captions with Attention

Elman Mansimov, Emilio Parisotto, Jimmy Ba, Ruslan Salakhutdinov

CoRR. 2015
Attribute2Image: Conditional Image Generation from Visual Attributes

Xinchen Yan, Jimei Yang, Kihyuk Sohn, Honglak Lee

European Conference on Computer Vision. 2015
Conditional Generative Adversarial Nets

Mehdi Mirza, Simon Osindero

ArXiv. 2014

Video Generation

Video generation models as world simulators

Tim Brooks, Bill Peebles, Connor Holmes, Will DePue, Yufei Guo, Li Jing, David Schnurr, Joe Taylor, Troy Luhman, Eric Luhman, Clarence Ng, Ricky Wang, Aditya Ramesh

2024
A Comprehensive Survey on Human Video Generation: Challenges, Methods, and Insights

Wen-Ling Lei, Jinting Wang, Fengji Ma, Guanjie Huang, Li Liu

ArXiv. 2024
VideoPoet: A Large Language Model for Zero-Shot Video Generation

D. Kondratyuk, Lijun Yu, Xiuye Gu, Jos{'e} Lezama, Jonathan Huang, Rachel Hornung, Hartwig Adam, Hassan Akbari, Yair Alon, Vighnesh Birodkar, Yong Cheng, Ming-Chang Chiu, Josh Dillon, Irfan Essa, Agrim Gupta, Meera Hahn, Anja Hauth, David Hendon, Alonso Martinez, David C. Minnen, David A. Ross, Grant Schindler, Mikhail Sirotenko, Kihyuk Sohn, Krishna Somandepalli, Huisheng Wang, Jimmy Yan, Ming Yang, Xuan Yang, Bryan Seybold, Lu Jiang

ArXiv. 2023
Photorealistic Video Generation with Diffusion Models

Agrim Gupta, Lijun Yu, Kihyuk Sohn, Xiuye Gu, Meera Hahn, Fei-Fei Li, Irfan Essa, Lu Jiang, Jos{'e} Lezama

ArXiv. 2023
VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation

Zhengxiong Luo, Dayou Chen, Yingya Zhang, Yan Huang, Liangsheng Wang, Yujun Shen, Deli Zhao, Jinren Zhou, Tien-Ping Tan

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2023
A Survey on Video Diffusion Models

Zhen Xing, Qijun Feng, Haoran Chen, Qi Dai, Hang-Rui Hu, Hang Xu, Zuxuan Wu, Yu-Gang Jiang

ArXiv. 2023
Imagen Video: High Definition Video Generation with Diffusion Models

Jonathan Ho, William Chan, Chitwan Saharia, Jay Whang, Ruiqi Gao, Alexey A. Gritsenko, Diederik P. Kingma, Ben Poole, Mohammad Norouzi, David J. Fleet, Tim Salimans

ArXiv. 2022
Make-A-Video: Text-to-Video Generation without Text-Video Data

Uriel Singer, Adam Polyak, Thomas Hayes, Xiaoyue Yin, Jie An, Songyang Zhang, Qiyuan Hu, Harry Yang, Oron Ashual, Oran Gafni, Devi Parikh, Sonal Gupta, Yaniv Taigman

ArXiv. 2022
Video Diffusion Models

Jonathan Ho, Tim Salimans, Alexey Gritsenko, William Chan, Mohammad Norouzi, David J. Fleet

ArXiv. 2022
VideoGPT: Video Generation using VQ-VAE and Transformers

Wilson Yan, Yunzhi Zhang, P. Abbeel, A. Srinivas

ArXiv. 2021
ViViT: A Video Vision Transformer

Anurag Arnab, Mostafa Dehghani, Georg Heigold, Chen Sun, Mario Lucic, Cordelia Schmid

2021 IEEE/CVF International Conference on Computer Vision (ICCV). 2021
MoCoGAN: Decomposing Motion and Content for Video Generation

S. Tulyakov, Ming-Yu Liu, Xiaodong Yang, Jan Kautz

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2017

Musical Creativity

Chatmusician: Understanding and generating music intrinsically with llm

Ruibin Yuan, Hanfeng Lin, Yi Wang, Zeyue Tian, Shangda Wu, Tianhao Shen, Ge Zhang, Yuhang Wu, Cong Liu, Ziya Zhou, others

Findings of the Association for Computational Linguistics: ACL 2024 2024
ComposerX: Multi-Agent Symbolic Music Composition with LLMs

Qixin Deng, Qikai Yang, Ruibin Yuan, Yipeng Huang, Yi Wang, Xubo Liu, Zeyue Tian, Jiahao Pan, Ge Zhang, Hanfeng Lin, others

arXiv preprint arXiv:2404.18081. 2024
Mupt: A generative symbolic music pretrained transformer

Xingwei Qu, Yuelin Bai, Yinghao Ma, Ziya Zhou, Ka Man Lo, Jiaheng Liu, Ruibin Yuan, Lejun Min, Xueling Liu, Tianyu Zhang, others

2024
A Survey on Deep Learning for Symbolic Music Generation: Representations, Algorithms, Evaluations, and Challenges

Shulei Ji, Xinyu Yang, Jing Luo

ACM Comput. Surv. Association for Computing Machinery. 2023
Between the AI and Me: Analysing Listeners' Perspectives on AI- and Human-Composed Progressive Metal Music

Pedro Sarmento, John H. Loth, Mathieu Barthet

ArXiv. 2024
Simple and Controllable Music Generation

Jade Copet, Felix Kreuk, Itai Gat, Tal Remez, David Kant, Gabriel Synnaeve, Yossi Adi, Alexandre D'efossez

ArXiv. 2023
MusicLM: Generating Music From Text

Andrea Agostinelli, Timo I. Denk, Zal{'a}n Borsos, Jesse Engel, Mauro Verzetti, Antoine Caillon, Qingqing Huang, Aren Jansen, Adam Roberts, Marco Tagliasacchi, Matthew Sharifi, Neil Zeghidour, Christian Havn{\o} Frank

ArXiv. 2023
"A Good Algorithm Does Not Steal - It Imitates": The Originality Report as a Means of Measuring When a Music Generation Algorithm Copies Too Much

Zong Yin, Federico Reuben, Susan Stepney, Tom Collins

EvoMUSART. 2021
Jukebox: A Generative Model for Music

Prafulla Dhariwal, Heewoo Jun, Christine Payne, Jong Wook Kim, Alec Radford, Ilya Sutskever

ArXiv. 2020
A Comprehensive Survey on Deep Music Generation: Multi-level Representations, Algorithms, Evaluations, and Future Directions

Shulei Ji, Jing Luo, Xinyu Yang

ArXiv. 2020
Pop Music Transformer: Beat-based Modeling and Generation of Expressive Pop Piano Compositions

Yu-Siang Huang, Yi-Hsuan Yang

Proceedings of the 28th ACM International Conference on Multimedia. 2020
MuseNet

OpenAI

2019
LakhNES: Improving Multi-instrumental Music Generation with Cross-domain Pre-training

Chris Donahue, Huanru Henry Mao, Yiting Li, G. Cottrell, Julian McAuley

ArXiv. 2019
A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music

Adam Roberts, Jesse Engel, Colin Raffel, Curtis Hawthorne, Douglas Eck

ArXiv. 2018
Music Transformer: Generating Music with Long-Term Structure

Cheng-Zhi Anna Huang, Ashish Vaswani, Jakob Uszkoreit, Noam M. Shazeer, Ian Simon, Curtis Hawthorne, Andrew M. Dai, Matthew D. Hoffman, Monica Dinculescu, Douglas Eck

International Conference on Learning Representations. 2018
On the evaluation of generative models in music

Li-Chia Yang, Alexander Lerch

Neural Computing and Applications. 2018
MidiNet: A Convolutional Generative Adversarial Network for Symbolic-Domain Music Generation

Li-Chia Yang, Szu-Yu Chou, Yi-Hsuan Yang

ArXiv. 2017
MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment

Hao-Wen Dong, Wen-Yi Hsiao, Li-Chia Yang, Yi-Hsuan Yang

AAAI Conference on Artificial Intelligence. 2017
Generating Videos with Scene Dynamics

Carl Vondrick, Hamed Pirsiavash, Antonio Torralba

Neural Information Processing Systems. 2016
Polyphonic music modeling with random fields

Victor Lavrenko, Jeremy Pickens

Proceedings of the eleventh ACM international conference on Multimedia. 2003
Finding temporal structure in music: Blues improvisation with LSTM recurrent networks

Douglas Eck, Juergen Schmidhuber

Proceedings of the 12th IEEE workshop on neural networks for signal processing. 2002
Analysis and synthesis of Palestrina-style counterpoint using Markov chains

Mary Farbood, Bernd Sch{"o}ner

ICMC. 2001
Experiments in musical intelligence

David Cope

AR editions Madison, WI. 1996
GenJam: A genetic algorithm for generating jazz solos

John Biles, others

International Conference on Mathematics and Computing. 1994
A connectionist approach to algorithmic composition

Peter M Todd

Computer Music Journal. JSTOR. 1989
Automated composition in retrospect: 1956-1986

Charles Ames

Leonardo. JSTOR. 1987
Musical composition with a high-speed digital computer

Lejaren Hiller, Leonard Isaacson

1958
An experiment in musical composition

Frederick P Brooks, AL Hopkins, Peter G Neumann, William V Wright

IRE Transactions on Electronic Computers. IEEE. 1957

Scientific Creativity

Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems

Stefan Kramer, Mattia Cerrato, Saso Dzeroski, Ross D. King

ArXiv. 2023
From Kepler to Newton: Explainable AI for Science Discovery

Zelong Li, Jianchao Ji, Yongfeng Zhang

ArXiv. 2021
Automating scientific discovery

Neil Savage

Communications of the ACM. ACM New York, NY, USA. 2012
Automating Science

David Waltz, Bruce G. Buchanan

Science. 2009

Equation Discovery & Symbolic Regression

Automated discovery of fundamental variables hidden in experimental data

Boyuan Chen, Kuang Huang, Sunand Raghupathi, Ishaan Preetam Chandratreya, Qi Du, Hod Lipson

Nature Computational Science. 2022
Deep neural networks to recover unknown physical parameters from oscillating time series

Antoine Garcon, Julian Vexler, Dmitry Budker, Stefan Kramer

PLoS ONE. 2021
Discovering Symbolic Models from Deep Learning with Inductive Biases

M. Cranmer, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Rui Xu, Kyle Cranmer, David N. Spergel, Shirley Ho

ArXiv. 2020
AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity

S. M. Udrescu, Andrew Yong-Yi Tan, Jiahai Feng, Orisvaldo Neto, Tailin Wu, Max Tegmark

ArXiv. 2020
Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients

Brenden K. Petersen, Mikel Landajuela

arXiv: Learning. 2019
Distilling free-form natural laws from experimental data

Michael Schmidt, Hod Lipson

science. American Association for the Advancement of Science. 2009
Declarative Bias in Equation Discovery

Ljup Co Todorovski

1997
Genetic programming as a means for programming computers by natural selection

John R. Koza

Statistics and Computing. 1994
Discovering Dynamics

Saso Dzeroski, Ljupco Todorovski

International Conference on Machine Learning. 1993
Scientific discovery: computational explorations of the creative process

George Rzevski, Pat Langley, Herbert A. Simon, Gary L. Bradshaw, Jan M. Zytkow

1987
BACON: A Production System That Discovers Empirical Laws

Pat Langley

International Joint Conference on Artificial Intelligence. 1977

Knowledge Discovery

De novo design of high-affinity protein binders with AlphaProteo

Vinicius Zambaldi, David La, Alexander E. Chu, Harshnira Patani, Amy E. Danson, Tristan O. C. Kwan, Thomas Frerix, Rosalia G. Schneider, David Saxton, Ashok Thillaisundaram, Zachary Wu, Isabel Moraes, Oskar Lange, Eliseo Papa, Gabriella Stanton, Victor Martin, Sukhdeep Singh, Lai H. Wong, Russ Bates, Simon A. Kohl, Josh Abramson, Andrew W. Senior, Yilmaz Alguel, Mary Y. Wu, Irene M. Aspalter, Katie Bentley, David L. V. Bauer, Peter Cherepanov, Demis Hassabis, Pushmeet Kohli, Rob Fergus, Jue Wang

2024
Accurate structure prediction of biomolecular interactions with AlphaFold 3

Josh Abramson, Jonas Adler, Jack Dunger, Richard Evans, Tim Green, Alexander Pritzel, Olaf Ronneberger, Lindsay Willmore, Andrew J. Ballard, Joshua Bambrick, Sebastian W. Bodenstein, David A. Evans, Chia-Chun Hung, Michael O'Neill, David Reiman, Kathryn Tunyasuvunakool, Zachary Wu, Akvil{.{e}} {\v{Z}}emgulyt{.{e}}, Eirini Arvaniti, Charles Beattie, Ottavia Bertolli, Alex Bridgland, Alexey Cherepanov, Miles Congreve, Alexander I. Cowen-Rivers, Andrew Cowie, Michael Figurnov, Fabian B. Fuchs, Hannah Gladman, Rishub Jain, Yousuf A. Khan, Caroline M. R. Low, Kuba Perlin, Anna Potapenko, Pascal Savy, Sukhdeep Singh, Adrian Stecula, Ashok Thillaisundaram, Catherine Tong, Sergei Yakneen, Ellen D. Zhong, Michal Zielinski, Augustin {\v{Z}}{'i}dek, Victor Bapst, Pushmeet Kohli, Max Jaderberg, Demis Hassabis, John M. Jumper

Nature. 2024
AlphaProof

Thomas Hubert, Rishi Mehta, Laurent Sartran

2024
Solving olympiad geometry without human demonstrations

Trieu H. Trinh, Yuhuai Wu, Quoc V. Le, He He, Thang Luong

Nature. 2024
Highly accurate protein structure prediction with AlphaFold

John Jumper, Richard Evans, Alexander Pritzel, Tim Green, Michael Figurnov, Olaf Ronneberger, Kathryn Tunyasuvunakool, Russ Bates, Augustin {\v{Z}}{'i}dek, Anna Potapenko, Alex Bridgland, Clemens Meyer, Simon A. A. Kohl, Andrew J. Ballard, Andrew Cowie, Bernardino Romera-Paredes, Stanislav Nikolov, Rishub Jain, Jonas Adler, Trevor Back, Stig Petersen, David Reiman, Ellen Clancy, Michal Zielinski, Martin Steinegger, Michalina Pacholska, Tamas Berghammer, Sebastian Bodenstein, David Silver, Oriol Vinyals, Andrew W. Senior, Koray Kavukcuoglu, Pushmeet Kohli, Demis Hassabis

Nature. 2021
Automated discovery of scientific concepts: Replicating three recent discoveries in mechanics

Yaron Hakuk, Yoram Reich

Advanced Engineering Informatics. 2020
Generating conjectures on fundamental constants with the Ramanujan Machine

Gal Raayoni, Shahar Gottlieb, Yahel Manor, George Pisha, Yoav Harris, Uri Mendlovic, Doron Haviv, Yaron Hadad, Ido Kaminer

Nature. Springer Science and Business Media LLC. 2021
Discovering Physical Concepts with Neural Networks

Raban Iten, Tony Metger, Henrik Wilming, L'{\i}dia Rio, Renato Renner

Phys. Rev. Lett. American Physical Society. 2020
Toward an artificial intelligence physicist for unsupervised learning

Tailin Wu, Max Tegmark

Physical Review E. APS. 2019
Automated discovery and proof of congruence theorems for partial sums of combinatorial sequences

William YC Chen, Qing-Hu Hou, Doron Zeilberger

Journal of Difference Equations and Applications. Taylor & Francis. 2016
Theorema: Towards computer-aided mathematical theory exploration

Bruno Buchberger, Adrian Crǎciun, Tudor Jebelean, Laura Kovács, Temur Kutsia, Koji Nakagawa, Florina Piroi, Nikolaj Popov, Judit Robu, Markus Rosenkranz, Wolfgang Windsteiger

Journal of Applied Logic. 2006
On Conjectures of Graffiti

Siemion Fajtlowicz

Graph Theory and Applications. Elsevier. 1988
Why AM and EURISKO appear to work

Douglas B Lenat, John Seely Brown

Artificial intelligence. Elsevier. 1984
Applications of artificial intelligence for organic chemistry: the DENDRAL project

Robert K Lindsay

(No Title). 1980

Scientific Process Automation

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery

Chris Lu, Cong Lu, Robert Tjarko Lange, Jakob Foerster, Jeff Clune, David Ha

Arxiv. 2024
LLMs can realize combinatorial creativity: generating creative ideas via LLMs for scientific research

Tianyang Gu, Jingjin Wang, Zhihao Zhang, HaoHong Li

Arxiv. 2024
Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers

Chenglei Si, Diyi Yang, Tatsunori Hashimoto

Arxiv. 2024
ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models

Jinheon Baek, Sujay Kumar Jauhar, Silviu Cucerzan, Sung Ju Hwang

ArXiv. 2024
SciMON: Scientific Inspiration Machines Optimized for Novelty

Qingyun Wang, Doug Downey, Heng Ji, Tom Hope

2024
DiscoveryBench: Towards Data-Driven Discovery with Large Language Models

Bodhisattwa Prasad Majumder, Harshit Surana, Dhruv Agarwal, Bhavana Dalvi Mishra, Abhijeetsingh Meena, Aryan Prakhar, Tirth Vora, Tushar Khot, Ashish Sabharwal, Peter Clark

2024
SciAgents: Automating scientific discovery through multi-agent intelligent graph reasoning

Alireza Ghafarollahi, Markus J. Buehler

2024
MLR-Copilot: Autonomous Machine Learning Research based on Large Language Models Agents

Ruochen Li, Teerth Patel, Qingyun Wang, Qingyun Wang, Xinya Du

2024
Autonomous LLM-driven research from data to human-verifiable research papers

Tal Ifargan, Lukas Hafner, Maor Kern, Ori Alcalay, Roy Kishony

2024
Language agents achieve superhuman synthesis of scientific knowledge

Michael D. Skarlinski, Sam Cox, Jon M. Laurent, James D. Braza, Michaela Hinks, Michael J. Hammerling, Manvitha Ponnapati, Samuel G. Rodriques, Andrew D. White

preprint. 2024
MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Qian Huang, Jian Vora, Percy Liang, Jure Leskovec

2024
How AI Processing Delays Foster Creativity: Exploring Research Question Co-Creation with an LLM-based Agent

Yiren Liu, Si Chen, Haocong Cheng, Mengxia Yu, Xiao Ran, Andrew Mo, Yiliu Tang, Yun Huang

Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery. 2024
How AI Outperforms Humans at Creative Idea Generation

Noah Castelo, Zsolt Katona, Peiyao Li, Miklos Sarvary

SSRN. 2024
Ideas are Dimes a Dozen: Large Language Models for Idea Generation in Innovation

Karan Girotra, Lennart Meincke, Christian Terwiesch, Karl T. Ulrich

SSRN Electronic Journal. 2023
Emergent autonomous scientific research capabilities of large language models

Daniil A. Boiko, Robert MacKnight, Gabe Gomes

2023
Large Language Models are Zero Shot Hypothesis Proposers

Biqing Qi, Kaiyan Zhang, Haoxiang Li, Kai Tian, Sihang Zeng, Zhang-Ren Chen, Bowen Zhou

2023
Artificial intelligence in scientific writing: a friend or a foe?

Signe Altmäe, Alberto Sola-Leyva, Andres Salumets

Reproductive BioMedicine Online. 2023
Large Language Models for Automated Open-domain Scientific Hypotheses Discovery

Zonglin Yang, Xinya Du, Junxian Li, Jie Zheng, Soujanya Poria, E. Cambria

Annual Meeting of the Association for Computational Linguistics. 2023
AGATHA: Automatic Graph Mining And Transformer based Hypothesis Generation Approach

Justin Sybrandt, Ilya Tyagin, Michael Shtutman, Ilya Safro

Proceedings of the 29th ACM International Conference on Information & Knowledge Management. Association for Computing Machinery. 2020
A Bayesian machine scientist to aid in the solution of challenging scientific problems

Roger Guimerà, Ignasi Reichardt, Antoni Aguilar-Mogas, Francesco A. Massucci, Manuel Miranda, Jordi Pallarès, Marta Sales-Pardo

Science Advances. 2020
PaperRobot: Incremental Draft Generation of Scientific Ideas

Qingyun Wang, Lifu Huang, Zhiying Jiang, Kevin Knight, Heng Ji, Mohit Bansal, Yi Luan

ArXiv. 2019
The Automation of Science

Ross D. King, Jem Rowland, Stephen G. Oliver, Michael Young, Wayne Aubrey, Emma Byrne, Maria Liakata, Magdalena Markham, Pinar Pir, Larisa N. Soldatova, Andrew Sparkes, Kenneth E. Whelan, Amanda Clare

Science. 2009

Creativity and Copyright

Digger: Detecting Copyright Content Mis-usage in Large Language Model Training

Haodong Li, Gelei Deng, Yi Liu, Kailong Wang, Yuekang Li, Tianwei Zhang, Yang Liu, Guoai Xu, Guosheng Xu, Haoyu Wang

2024
Detecting Pretraining Data from Large Language Models

Weijia Shi, Anirudh Ajith, Mengzhou Xia, Yangsibo Huang, Daogao Liu, Terra Blevins, Danqi Chen, Luke Zettlemoyer

2024
DE-COP: Detecting Copyrighted Content in Language Models Training Data

André V. Duarte, Xuandong Zhao, Arlindo L. Oliveira, Lei Li

2024
Disrupting Creativity: Copyright Law in the Age of Generative Artificial Intelligence

Ryan Abbott, Elizabeth Rothman

Elsevier. 2023
The Times Sues OpenAI and Microsoft Over A.I. Use of Copyrighted Work.

M. M. Grynbaum, R. Mac

New York Times. 2023
Artists take new shot at Stability, Midjourney in updated copyright lawsuit.

B. Brittain

Reuters. 2023
Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models

Gowthami Somepalli, Vasu Singla, Micah Goldblum, Jonas Geiping, Tom Goldstein

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2023
Speak, Memory: An Archaeology of Books Known to ChatGPT/GPT-4

Kent K. Chang, Mackenzie Cramer, Sandeep Soni, David Bamman

2023
Copyright in generative deep learning

Giorgio Franceschelli, Mirco Musolesi

Data & Policy. 2021
Intellectual Property on Works of Art Made by Artificial Intelligence

Cl{'a}udio Lisboa Santos, {^A}ngela Rocha Machado

International Journal of Advanced Engineering Research and Science. 2020
People Not Machines: Authorship and What It Means in the Berne Convention

Jane C. Ginsburg

IIC - International Review of Intellectual Property and Competition Law. 2018
Authorship in the Age of Machine learning and Artificial Intelligence

Jean-Marc Deltorn, Franck Macrez

Legal Perspectives in Information Systems eJournal. 2018
Do Androids Dream of Electric Copyright? Comparative Analysis of Originality in Artificial Intelligence Generated Works

Andres Guadamuz

Econometrics: Computer Programs & Software eJournal. 2017
Ex Machina: Copyright Protection for Computer-Generated Works

Robert C. Denicola

Innovation Law & Policy eJournal. 2016
Copyright in computer-composed music: Hal meets Handel

W.T. Ralston

Journal of the Copyright Society of the U.S.A. 2005
COPYRIGHT PROTECTION FOR COMPUTER PROGRAMS, DATABASES, AND COMPUTER-GENERATED WORKS: IS ANYTHING NEW SINCE CONTU?

Arthur R. Miller

Harvard Law Review. 1993
Allocating Ownership Rights in Computer-Generated Works

Pamela Samuelson

University of Pittsburgh Law Review. 1986

Creative Decoding

Creative Beam Search: LLM-as-a-Judge For Improving Response Generation

Giorgio Franceschelli, Mirco Musolesi

ArXiv. 2024
Is Temperature the Creativity Parameter of Large Language Models?

Max Peeperkorn, Tom Kouwenhoven, Dan Brown, Anna Jordanous

ArXiv. 2024
Locally Typical Sampling

Clara Meister, Tiago Pimentel, Gian Wiher, Ryan Cotterell

Transactions of the Association for Computational Linguistics, Volume 11 2023
Contrastive Decoding: Open-ended Text Generation as Optimization

Xiang Lisa Li, Ari Holtzman, Daniel Fried, Percy Liang, Jason Eisner, Tatsunori Hashimoto, Luke Zettlemoyer, Mike Lewis

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) 2023
On the probability{--}quality paradox in language generation

Clara Meister, Gian Wiher, Tiago Pimentel, Ryan Cotterell

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). Association for Computational Linguistics. 2022

Creative Prompt Engineering

Enhancing Creativity in Large Language Models through Associative Thinking Strategies

Pronita Mehrotra, Aishni Parab, Sumit Gulwani

ArXiv. 2024
Creative Problem Solving in Large Language and Vision Models - What Would it Take?

Lakshmi Nair, Evana Gizzi, Jivko Sinapov

ArXiv. 2024
Brainstorm, then Select: a Generative Language Model Improves Its Creativity Score

Douglas Summers-Stay, Stephanie M. Lukin, Clare R. Voss

ArXiv. 2023
Large Language Models Understand and Can be Enhanced by Emotional Stimuli

Cheng Li, Jindong Wang, Yixuan Zhang, Kaijie Zhu, Wenxin Hou, Jianxun Lian, Fang Luo, Qiang Yang, Xing Xie

Arxiv 2023

Creative Architectures

Active Divergence with Generative Deep Learning - A Survey and Taxonomy

Terence Broad, Sebastian Berns, Simon Colton, Mick Grierson

ArXiv. 2021
Learning to Surprise: A Composer-Audience Architecture

Razvan C. Bunescu, Oseremen O. Uduehi

International Conference on Innovative Computing and Cloud Computing. 2019
CAN: Creative Adversarial Networks, Generating "Art" by Learning About Styles and Deviating from Style Norms

Ahmed Elgammal, Bingchen Liu, Mohamed Elhoseiny, Marian Mazzone

International Conference on Innovative Computing and Cloud Computing 2017
Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models

Gabriel Lima Guimaraes, Benjam{'i}n S{'a}nchez-Lengeling, Pedro Luis Cunha Farias, Al{'a}n Aspuru-Guzik

ArXiv. 2017

Surveys

Creativity

Elliot Samuel Paul, Dustin Stokes

The {Stanford} Encyclopedia of Philosophy. Metaphysics Research Lab, Stanford University. 2023
Creativity and Machine Learning: A Survey

Giorgio Franceschelli, Mirco Musolesi

ArXiv. 2021
A Survey on Large Language Model Hallucination via a Creativity Perspective

Xuhui Jiang, Yuxing Tian, Fengrui Hua, Chengjin Xu, Yuanzhuo Wang, Jian Guo

ArXiv. 2024
Creativity: a survey of AI approaches

Jon Rowe, Derek Partridge

Artificial Intelligence Review. 1993

Tutorials

Creative Natural Language Generation

Tuhin Chakrabarty, Vishakh Padmakumar, He He, Nanyun Peng

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts. Association for Computational Linguistics. 2023

Name		Name	Last commit message	Last commit date
Latest commit History 9 Commits
assets		assets
.gitignore		.gitignore
.python-version		.python-version
LICENSE		LICENSE
README.md		README.md
main.ipynb		main.ipynb
requirements.txt		requirements.txt

License

mismayil/creativity-in-AI

Folders and files

Latest commit

History

Repository files navigation

Creativity in AI: Progresses and Challenges

Creativity

Definitions

Theories and Processes

Evaluation

Manual

Automated

Novelty

Value

Surprise

Diversity

Linguistic Creativity

Humor

Joke

Pun

Sarcasm

Figurative Language

Metaphor

Simile

Idiom

Hyperbole

Lexical Innovation

Creative Problem-Solving

Convergent Thinking

Divergent Thinking

Abstraction

Analogy-Making

Word Analogies

Sentence Analogies

Story Analogies

Visual Analogies

Scientific Analogies

Analogical Reasoning

Artistic Creativity

Story Generation

Datasets

Methods

Poetry

Datasets

Methods

Visual Creativity

Image Editing

Text-to-Image

Video Generation

Musical Creativity

Scientific Creativity

Equation Discovery & Symbolic Regression

Knowledge Discovery

Scientific Process Automation

Creativity and Copyright

Creative Decoding

Creative Prompt Engineering

Creative Architectures

Surveys

Tutorials

About

Resources

License

Stars

Watchers

Forks

Releases

Packages 0

Languages

Packages