Mengyue Yang
- A Principle of Targeted Intervention for Multi-Agent Reinforcement Learning
- Causal Sufficiency and Necessity Improves Chain-of-Thought Reasoning
- Curious Causality-Seeking Agents Learn Meta Causal World
- Decentralized Dynamic Cooperation of Personalized Models for Federated Continual Learning
- MF-LLM: Simulating Population Decision Dynamics via a Mean-Field Large Language Model Framework
- Unveiling Extraneous Sampling Bias with Data Missing-Not-At-Random