Kexin Huang

Beyond Magnitude: Leveraging Direction of RLVR Updates for LLM Reasoning

Quantile Advantage Estimation: Stabilizing RLVR for LLM Reasoning

Mitigating Reward Hacking in LLM-based Recommendation: A Preference Optimization Approach

Sparse but Critical: A Token-Level Analysis of Distributional Shifts in RLVR Fine-Tuning of LLMs

Bridging Perception and Reasoning: Token Reweighting for RLVR in Multimodal LLMs

RePO: Understanding Preference Learning Through ReLU-Based Optimization

Larger or Smaller Reward Margins to Select Preferences for LLM Alignment?

Learning Bayesian Nash Equilibrium in Auction Games via Approximate Best Response