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

Paper recorded by Signals 4 on 2026-09-28 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-28 on arXiv · recorded by Signals 4 on 2026-09-29

Category: cs.CL · 自然语言处理 · first seen 2026-09-29

Abstract

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 layers specialize in this fundamental task or how other tokens in the same sequence,

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#6 most recent of 279 cs.CL papers we have recorded · ↑ newer: Tracing the Evolution of Oracle Bone Characters Across Three Millennia · ↓ older: Rubric Rewards from Item Response Theory
Cite this page: Late Attention Layers Alone Can Copy Entity Tokens, but Not Without Attending to Their Context: the #6 most recent of 279 cs.CL papers we have recorded (as of 2026-09-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/late-attention-layers-alone-can-copy-entity-tokens-but-not-without-attending-to-.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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