Author

Dianbo Liu

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#artificial intelligence Preprint Oct 2026

MIPS: Mitigating Mode Collapse in Reinforcement Learning for Large Outcome Spaces

Expected-reward maximization in reinforcement learning concentrates probability mass on a few outcomes, even in tasks that require many distinct, high-quality solutions, a failure known as mode collapse. Inverse Probability Scaling (IPS) counters this in group-based policy gradients such as GRPO by dividing each reward...

Armaan Sandhu, A. Sinha, Dian-Bo Liu · 0 citations

#machine learning Preprint Aug 2026

Data-DPO: Direct Preference Optimization for Target Model Data Selection in LLM Post-Training

Data-DPO, a target model-oriented SFT data selection method that consistently outperforms existing data selection baselines under multiple data budgets and stably surpasses full data training performance is proposed.

Peng Sun, Yi Yang, Antong Zhang et al. · 0 citations