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arXiv1d ago
4.8

Design Conditions for Intra-Group Learning of Sequence-Level Rewards: Token Gradient Cancellation

Fei Ding, Yongkang Zhang, youwei wang, Zijian Zeng

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Analysis

Viral velocity
low
Implementation gapYES
Novelty6/10
Categorypaper
Topics
rlfine-tuningreasoning

Opportunity Brief

Create a fine-tuning library that explicitly handles 'token gradient cancellation' to prevent entropy collapse during RL-based reasoning model training. This is a critical utility for teams training large reasoning models on long-horizon tasks.

Suggested repo: reason-tune

"Stop your RL training from collapsing at the finish line."

Estimated effort: 40h