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Hiroyuki Deguchi

ACL 2026×2多模态推理评测与基准代码
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一作贡献30
核心/参与12
方向广度8
合作网络3
1 一作 · 2 篇 · ACL 2026

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2026 顶会论文

2
一作ACL 2026Poster· Natural Language Processing

One Single Hub Text Breaks CLIP : Identifying Vulnerabilities in Cross-Modal Encoders via Hubness

Hiroyuki Deguchi · Katsuki Chousa · Yusuke Sakai

摘要

The hubness problem, in which hub embeddings are close to many unrelated examples, occurs often in high-dimensional embedding spaces and may pose a practical threat for purposes such as information retrieval and automatic evaluation metrics.In particular, since cross-modal similarity between text...

多模态推理评测与基准OpenReview 项目页
作者位次 #2/5ACL 2026Workshop· Natural Language Processing

T able MBR : Minimum B ayes Risk Table Generation Based on Structural Consistency

Daiki Yoshida · Hiroyuki Deguchi · Yusuke Sakai · Hidetaka Kamigaito · Taro Watanabe

摘要

The text-to-table task aims to generate structured data in tabular formats from unstructured text. While the integration of large language models (LLMs) has significantly enhanced the comprehensiveness and flexibility of generation, challenges regarding inconsistent output quality persist, such a...

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