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Jiang-Chao Yao

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#artificial intelligence Preprint Sep 2026

SkillCome: Group Contrast Skill Optimization with Dual Memory

Skill evolution improves the capabilities of large language models by analyzing trajectories generated under a given skill and modifying the skill accordingly. Existing approaches typically generate a single trajectory per question. However, this provides insufficient optimization signals since it requires inferring ef...

Hao-Lin Li, Feng Hong, Ang Li et al. · 0 citations
#artificial intelligence Conference Aug 2026

CateKV: On Sequential Consistency for Long-Context LLM Inference Acceleration

This work discovers that certain attention heads exhibit sequential consistency in their attention patterns, which can be persistently identified using a coefficient-of-variation-based algorithm, and proposes CateKV, a hybrid KV cache method that retains only critical token information for consistent heads, thereby red...

Hao-Yun Jiang, Hao-Lin Li, Jian-Wei Zhang et al. · 2 citations

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