diff --git a/_pages/publications.md b/_pages/publications.md index 86db5e40f96a4..8264c5350af96 100644 --- a/_pages/publications.md +++ b/_pages/publications.md @@ -17,7 +17,7 @@ author_profile: true
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Caoyun Fan, Jindou Chen, Yaohui Jin, Hao He. "Can Large Language Models Serve as Rational Players in Game Theory? A Systematic Analysis", AAAI 2024 ORAL(2%) (CCF-A). +

Caoyun Fan, Jindou Chen, Yaohui Jin, Hao He. "Can Large Language Models Serve as Rational Players in Game Theory? A Systematic Analysis", AAAI 2024 ORAL (~2%) (CCF-A). [PDF], TL,DR: We select three classic games (dictator game, Rock-Paper-Scissors, and ring-network game) to analyze to what extent LLMs can achieve rationality, and we find that even the current state-of-the-art LLM (GPT-4) exhibits substantial disparities compared to humans in game theory.

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Caoyun Fan, Wenqing Chen, Jidong Tian, Yitian Li, Hao He, Yaohui Jin. "Improving the Out-Of-Distribution Generalization Capability of Language Models: Counterfactually-Augmented Data is not Enough", ICASSP 2023 ORAL(12%) (CCF-B). +

Caoyun Fan, Wenqing Chen, Jidong Tian, Yitian Li, Hao He, Yaohui Jin. "Improving the Out-Of-Distribution Generalization Capability of Language Models: Counterfactually-Augmented Data is not Enough", ICASSP 2023 ORAL (~12%) (CCF-B). [PDF], TL,DR: We attribute the inefficiency of Counterfactually-Augmented Data (CAD) in Out-Of-Distribution generalization to “Myopia Phenomenon” and propose two constraints to unlock the potential of CAD.