From 567013783255cfeabb2bc2b825f638a0ca9a917e Mon Sep 17 00:00:00 2001 From: Nihal Nayak Date: Tue, 11 Jun 2024 18:06:16 -0400 Subject: [PATCH] Updated bibtex (#26) * Updated bibtex * Update README.md --- README.md | 15 +++++++++------ 1 file changed, 9 insertions(+), 6 deletions(-) diff --git a/README.md b/README.md index 6813947..8d2fd96 100644 --- a/README.md +++ b/README.md @@ -6,10 +6,13 @@ Bonito is an open-source model for conditional task generation: the task of conv Zero-Shot Task Adaptation](https://arxiv.org/abs/2402.18334) - Model: [bonito-v1](https://huggingface.co/BatsResearch/bonito-v1) - Dataset: [ctga-v1](https://huggingface.co/datasets/BatsResearch/ctga-v1) -- Code: To reproduce experiments in our paper, see [nayak-arxiv24-code](https://github.com/BatsResearch/nayak-arxiv24-code). +- Code: To reproduce experiments in our paper, see [nayak-aclfindings24-code](https://github.com/BatsResearch/nayak-aclfindings24-code). ![Bonito](assets/workflow.png) +## News +- 🐟 June 2024: Bonito is accepted to ACL Findings 2024. + ## Installation Create an environment and install the package using the following commands: ```bash @@ -57,9 +60,9 @@ We have an additional tutorial to try out the Bonito model on A100 GPU on Google ## Citation If you use Bonito in your research, please cite the following paper: ``` -@article{bonito:arxiv24, - Author = {Nihal V. Nayak and Yiyang Nan and Avi Trost and Stephen H. Bach}, - Title = {Learning to Generate Instruction Tuning Datasets for Zero-Shot Task Adaptation}, - Volume = {arXiv:2402.18334 [cs.CL]}, - Year = {2024}} +@inproceedings{bonito:aclfindings24, + title = {Learning to Generate Instruction Tuning Datasets for Zero-Shot Task Adaptation}, + author = {Nayak, Nihal V. and Nan, Yiyang and Trost, Avi and Bach, Stephen H.}, + booktitle = {Findings of the Association for Computational Linguistics: ACL 2024}, + year = {2024}} ```