Yidong Wang

TrustJudge: Inconsistencies of LLM-as-a-Judge and How to Alleviate Them

Deep Literature Survey Automation with an Iterative Workflow

RewardAnything: Generalizable Principle-Following Reward Models

On the Diversity of Synthetic Data and its Impact on Training Large Language Models

RLAR: An Agentic Reward System for Multi-task Reinforcement Learning on Large Language Models

Detecting Variant Contamination in LLMs via Variance of Generation Distribution

PROBE: Benchmarking Reasoning Paradigm Overfitting in Large Language Models

Masked Autoencoders Are Effective Tokenizers for Diffusion Models

Visual Thoughts: A Unified Perspective of Understanding Multimodal Chain-of-Thought

SAEMark: Steering Personalized Multilingual LLM Watermarks with Sparse Autoencoders

On the Diversity of Synthetic Data and its Impact on Training Large Language Models

Reasoning Through Execution: Unifying Process and Outcome Rewards for Code Generation