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Hyunjin Cho

ACL 2026ICML 2026可解释性对齐与偏好安全检索与知识
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1 一作 · 2 篇 · ACL 2026 / ICML 2026

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2026 顶会论文

2
一作ICML 2026Spotlight· Deep Learning / Large Language Models

Shared Semantics, Divergent Mechanisms: Unsupervised Feature Discovery by Aligning Semantics and Mechanisms

Hyunjin Cho · Youngji Roh · Jaehyung Kim

对齐与偏好可解释性OpenReview
作者位次 #2/3ACL 2026Poster· Natural Language Processing

Embracing Anisotropy: Turning Massive Activations into Interpretable Control Knobs for Large Language Models

Youngji Roh · Hyunjin Cho · Jaehyung Kim

摘要

Large Language Models (LLMs) exhibit highly anisotropic internal representations, often characterized by massive activations, a phenomenon where a small subset of feature dimensions possesses magnitudes significantly larger than the rest. While prior works view these extreme dimensions primarily...

可解释性安全检索与知识OpenReview 项目页

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