Xiaohan Wang

ResT: Reshaping Token-Level Policy Gradients for Tool-Use Large Language Models

LogiConBench: Benchmarking Logical Consistencies of LLMs

SSL4RL: Revisiting Self-supervised Learning as Intrinsic Reward for Visual-Language Reasoning

From Experience to Strategy: Empowering LLM Agents with Trainable Graph Memory

MTIR-SQL:Multi-turn Tool-Integrated Reasoning Reinforcement Learning for Text-to-SQL

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

SAE as a Crystal Ball: Interpretable Features Predict Cross-domain Transferability of LLMs without Training

Enhancing Logical Reasoning of Large Language Models via Phased Fine-Tuning

Personal Tokens Matter: Towards Token-Aware Training for Personalized LLMs

Understanding and Leveraging Expert-level Monosemanticity in Finetuning MoE LLMs