Wei Lin

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

LogiConBench: Benchmarking Logical Consistencies of LLMs

ViPER: Empowering the Self-Evolution of Visual Perception Abilities in Vision-Language Models

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

SRFT: A Single-Stage Method with Supervised and Reinforcement Fine-Tuning for 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

Tagging the Thought: Unlocking Personalization Reasoning via Reinforcement Learning

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

Understanding and Leveraging Expert-level Monosemanticity in Finetuning MoE LLMs

PolarQuant: Leveraging Polar Transformation for Key Cache Quantization and Decoding Acceleration

Bi-Level Decision-Focused Causal Learning for Large-Scale Marketing Optimization: Bridging Observational and Experimental Data

DuaRot: Dual Rotation for Advanced Outlier Mitigation in Rotated LLMs