Qiaosheng Zhang

KALE: Enhancing Knowledge Manipulation in Large Language Models via Knowledge-aware Learning

From Algebraic Structure to Neural Parameters: A Cyclic Codes Perspective on Transformer-Based Decoders

MM-PRM: Enhancing Multimodal Mathematical Reasoning with Scalable Step-Level Supervision

CPGD: Toward Stable Reinforcement Learning for Language Models

MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Self-Aware Reinforcement Learning for Improving LLMs with Minimal Data

Online Preference Alignment for Language Models via Count-based Exploration

ROME is Forged in Adversity: Robust Distilled Datasets via Information Bottleneck

Unsupervised Reinforcement Learning by Maximizing Skill Density Deviation

Graph Attention is Not Always Beneficial: A Theoretical Analysis of Graph Attention Mechanisms via Contextual Stochastic Block Models

Understanding When and Why Graph Attention Mechanisms Work via Node Classification