Yufan Cai — accepted AI-conference papers

2025

Position: Trustworthy AI Agents Require the Integration of Large Language Models and Formal Methods

Yedi Zhang, Yufan Cai, Xinyue Zuo, Xiaokun Luan, Kailong Wang, Zhe Hou +6

ICML 2025poster

Large Language Models (LLMs) have emerged as a transformative AI paradigm, profoundly influencing broad aspects of daily life. Despite their remarkable performance, LLMs exhibit a fundamental limitation: hallucination—the tendency to produce misleading outputs that appear plausible. This inherent…

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2023

On-the-Fly Adapting Code Summarization on Trainable Cost-Effective Language Models

Yufan Cai, Yun Lin, Chenyan Liu, Jinglian Wu, Yifan Zhang, Yiming Liu +2

NeurIPS 2023poster

Deep learning models are emerging to summarize source code to comment, facilitating tasks of code documentation and program comprehension. Scaled-up large language models trained on large open corpus have achieved good performance in such tasks. However, in practice, the subject code in one ce…

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