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Xiaozhe Li

2 accepted papers

2026

Beyond Mode Collapse: Distribution Matching for Diverse Reasoning

ICML 2026poster

On-policy reinforcement learning methods like GRPO suffer from \emph{mode collapse}: they exhibit reduced solution diversity, concentrating probability mass on a single solution once discovered and ceasing exploration of alternative strategies. We show this stems from reverse KL minimization's mode-…

Cited by 0SourceScholar
2025

Information Density Principle for MLLM Benchmarks

ICCV 2025poster

With the emergence of Multimodal Large Language Models (MLLMs), hundreds of benchmarks have been developed to ensure the reliability of MLLMs in downstream tasks. However, the evaluation mechanism itself may not be reliable. For developers of MLLMs, questions remain about which benchmark to use and…