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News/Ranking and Partitioning of Attention Heads for Sparse and Continual Reinforcement Learning Fine-tuning
arxiv
PublishedOctober 16, 2026 at 4:00 AM

Ranking and Partitioning of Attention Heads for Sparse and Continual Reinforcement Learning Fine-tuning

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arXiv:2610.21336v1 Announce Type: cross Abstract: We study sparse and continual reinforcement learning fine-tuning of language models through attention-head ranking and partitioning. For sparse learning, we rank attention heads by gradient norm to identify a small subset of heads that can be trained

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