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20242026
most citedExploring Training on Heterogeneous Data with Mixture of Low-rank Adapters

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cs.LG2026

Focal Reward: Balanced Reinforcement Learning under Rubric-Based Rewards

Yu Huang, Zihua Zhao, Zhaoxin Huan +9

The open-ended generation in LLMs usually requires multi-dimensional rubrics to adequately assess quality and guide the improvement of reinforcement learning. However, a critical d…