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#natural language process... Preprint Sep 2026

Late Attention Layers Alone Can Copy Entity Tokens, but Not Without Attending to Their Context

Large language models (LLMs) reliably perform entity copying, in which a model copies tokens referring to an entity, termed entity tokens, from the prompt into its output to answer a question. Although entity copying is straightforward for most LLMs, existing research does not provide a systematic account of which laye...

Mu-Yu He, Yu-Chen Liu, Ran Tao et al. · 0 citations
#natural language process... Preprint Sep 2026

M-SQE: Multilingual Skill Quality Estimation for Enhancing Language Equality in Agentic Skill Use

Agent skills, reusable procedural documents that extend LLM agents beyond their parametric memory, have become an important interface for deploying agents on real-world tasks. Community-maintained skill libraries built around this interface are growing rapidly. However, this ecosystem remains deeply English-centric: ou...

Yi-Lun Liu, Shi-Min Tao, Ming-Gui He et al. · 0 citations

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