4 papers · 1 filter
SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning
Tao Liu, Tao Feng, Xiangheng Li +9
Recent Text-to-SQL systems increasingly rely on multi-turn interaction, execution feedback, and reinforcement learning. However, most existing methods use execution correctness onl…
Detection, Classification, and Mitigation of Gender Bias in Large Language Models
Xiaoqing Cheng, Hongying Zan, Lulu Kong +2
With the rapid development of large language models (LLMs), they have significantly improved efficiency across a wide range of domains. However, recent studies have revealed that L…
BiasFilter: An Inference-Time Debiasing Framework for Large Language Models
Xiaoqing Cheng, Ruizhe Chen, Hongying Zan +2
Mitigating social bias in large language models (LLMs) has become an increasingly important research objective. However, existing debiasing methods often incur high human and compu…
CMoralEval: A Moral Evaluation Benchmark for Chinese Large Language Models
Linhao Yu, Yongqi Leng, Yufei Huang +9
What a large language model (LLM) would respond in ethically relevant context? In this paper, we curate a large benchmark CMoralEval for morality evaluation of Chinese LLMs. The da…