3 papers
cs.CL2026
Uncovering and Mitigating Aggregation-Induced Reward Hacking in Multi-Reward Reinforcement Learning
Yu Yuan, Yaoyou Fan, Lili Zhao +5
Reinforcement learning fine-tuning of large language models increasingly adopts multiple reward dimensions, including verifiable rules, task-specific evaluators, and learned reward…
cs.CL2024
Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models
Yu Yuan, Lili Zhao, Kai Zhang +2
Large Language Models (LLMs) have shown remarkable capabilities in various natural language processing tasks. However, LLMs may rely on dataset biases as shortcuts for prediction,…
cs.AI2024
KnowPC: Knowledge-Driven Programmatic Reinforcement Learning for Zero-shot Coordination
Yin Gu, Qi Liu, Zhi Li +1
Zero-shot coordination (ZSC) remains a major challenge in the cooperative AI field, which aims to learn an agent to cooperate with an unseen partner in training environments or eve…