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arXivInstitute of Computing TechnologU Chinese Academy of SciencesAlignment & preference optimization

On-Policy Parameter Update Direction Underlies Generalization in LLM Post-Training

On-policy methods continuously adjust parameter update directions, unlike consistent SFT updates; constraining SFT to these directions via OPSFT transfers on-policy generalization advantages to supervised fine-tuning.

Shufan Shen, Zhongni Hou, Junshu Sun, Yufei Zhang and 4 more

Published Sep 29, 2026 · 0 citations · ▲ 81 on Hugging Face

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Institute of Computing TechnologU Chinese Academy of SciencesTencentMulti-agent RL

Rhombus: Incentivizing Coordination in Parallel Thinking through Reinforcement Learning

Rhombus uses reinforcement learning to incentivize coordination in parallel thinking frameworks.

Ziyuan Nan, Qi Yi, Di Huang, Yutong Wu and 8 more

Published 2026 · 0 citations

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