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Ryoma Kumon

ACL 2026×2ICLR 2026可解释性社会与人本对齐与偏好评测与基准效率与系统
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1 一作 · 3 篇 · ACL 2026 / ICLR 2026

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2026 顶会论文

3
一作ACL 2026Poster· Natural Language Processing

Fine-Grained Analysis of Shared Syntactic Mechanisms in Language Models

Ryoma Kumon · Hitomi Yanaka

摘要

While language models demonstrate sophisticated syntactic capabilities, the extent to which their internal mechanisms align with cross-constructional principles studied in linguistics remains poorly understood. This study investigates whether models employ shared neural mechanisms across differen...

可解释性对齐与偏好评测与基准OpenReview 项目页
作者位次 #3/4ACL 2026Workshop· Natural Language Processing

Analysis of the Neglect-Zero Effect in Large Language Models

Jin Tanaka · Daiki Matsuoka · Ryoma Kumon · Hitomi Yanaka

摘要

We investigate the extent to which the language processing of LLMs resembles human cognitive processes, focusing on a human cognitive bias called the neglect-zero effect . This effect refers to the human tendency to ignore zero-models , which are configurations that render a proposition vacuously...

社会与人本效率与系统代码OpenReview 项目页

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