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Xiaotong Ji

2 accepted papers

2026

Multi-Task GRPO: Reliable LLM Reasoning Across Tasks

ICML 2026poster

RL-based post-training with GRPO is widely used to improve large language models on individual reasoning tasks. However, real-world deployment requires reliable performance across diverse tasks. A straightforward multi-task adaptation of GRPO often leads to imbalanced outcomes, with some tasks domin…

Cited by 0SourceScholar
2026

Scalable Power Sampling: Unlocking Efficient, Training-Free Reasoning for LLMs via Distribution Sharpening

ICML 2026poster

Reinforcement learning (RL) post-training is a dominant approach for improving the reasoning performance of large language models (LLMs), yet growing evidence suggests that its gains arise primarily from distribution sharpening rather than the acquisition of new capabilities. Recent work has shown t…

Cited by 0SourceScholar