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@@ -118,7 +118,7 @@ <h2 class="title is-3">Abstract</h2>
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-                This paper introduces LimSim++, an extended version of LimSim designed for the application of Multimodal Large Language Models ((M)LLMs) in autonomous driving. Acknowledging the limitations of existing simulation platforms, LimSim++ addresses the need for a long-term closed-loop infrastructure supporting continuous learning and improved generalization in autonomous driving. The platform offers extended-duration, multi-scenario simulations, providing crucial information for (M)LLM-driven vehicles. Users can engage in prompt engineering, model evaluation, and framework enhancement, making LimSim++ a versatile tool for research and practice. The contributions include the introduction of an open-source testing platform, a baseline MMLM-driven framework, and validation through quantitative experiments across diverse scenarios. LimSim++ serves as a crucial resource for advancing the integration of (M)LLMs in the development of trustworthy autonomous driving systems. The open-source resources are available at: <a href="https://github.com/PJLab-ADG/LimSim/tree/LimSim_plus">Github: LimSim/LimSim_plus</a>.
+                This paper introduces LimSim++, an extended version of LimSim designed for the application of Multimodal Large Language Models ((M)LLMs) in autonomous driving. Acknowledging the limitations of existing simulation platforms, LimSim++ addresses the need for a long-term closed-loop infrastructure supporting continuous learning and improved generalization in autonomous driving. The platform offers extended-duration, multi-scenario simulations, providing crucial information for (M)LLM-driven vehicles. Users can engage in prompt engineering, model evaluation, and framework enhancement, making LimSim++ a versatile tool for research and practice. The contributions include the introduction of an open-source testing platform, a baseline MMLM-driven framework, and validation through quantitative experiments across diverse scenarios. LimSim++ serves as a crucial resource for advancing the integration of (M)LLMs in the development of trustworthy autonomous driving systems. The open-source resources are available at <a href="https://github.com/PJLab-ADG/LimSim/tree/LimSim_plus">Github: LimSim/LimSim_plus</a>.
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