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cs.CL2024
An Empirical Analysis on Large Language Models in Debate Evaluation
Xinyi Liu, Pinxin Liu, Hangfeng He
In this study, we investigate the capabilities and inherent biases of advanced large language models (LLMs) such as GPT-3.5 and GPT-4 in the context of debate evaluation. We discov…
cs.CL2024★ 1 cited
Unveiling Divergent Inductive Biases of LLMs on Temporal Data
Sindhu Kishore, Hangfeng He
Unraveling the intricate details of events in natural language necessitates a subtle understanding of temporal dynamics. Despite the adeptness of Large Language Models (LLMs) in di…