Mengyue Yang

Dynamic Correction of Erroneous Initial Policies via Diffusion-Driven Bayesian Exploration

MAD-Logic: Multi-Agent Debate Enhances Symbolic Translation and Reasoning

Memory-Driven Self-Improvement with Large Language Models

Evolving LLMs' Self-Refinement Capability via Synergistic Training-Inference Optimization

Estimating the Effects of Sample Training Orders for Large Language Models without Retraining

CoLD: Counterfactually-Guided Length Debiasing for Process Reward Models in Mathematical Reasoning

Causal Discovery under Changing Mechanisms: A Unified Graphical Approach

MF-LLM: Simulating Population Decision Dynamics via a Mean-Field Large Language Model Framework

Unveiling Extraneous Sampling Bias with Data Missing-Not-At-Random

Causal Sufficiency and Necessity Improves Chain-of-Thought Reasoning

Decentralized Dynamic Cooperation of Personalized Models for Federated Continual Learning

A Principle of Targeted Intervention for Multi-Agent Reinforcement Learning

Curious Causality-Seeking Agents Learn Meta Causal World

Efficient Reinforcement Learning with Large Language Model Priors

When Can Proxies Improve the Sample Complexity of Preference Learning?

Causal Representation Learning from Multimodal Biomedical Observations

Attaining Human's Desirable Outcomes in Indirect Human-AI Interaction via Multi-Agent Influence Diagrams

Large Language Models are Demonstration Pre-Selectors for Themselves

Large Language Models are Demonstration Pre-Selectors for Themselves

Mitigating Unobserved Confounding via Diffusion Probabilistic Models

Active Causal Learning for Conditional Average Treatment Effect Estimation

Temporal Visiting-Monitoring Feature Interaction Learning for Modelling Structured Electronic Health Records

Learning Generalizable Environment Models via Discovering Superposed Causal Relationships