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Jinghui Chen

ACL 2026×2ICML 2026KDD 2026检索与知识评测与基准对齐与偏好推理代码
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0 一作 · 4 篇 · ACL 2026 / ICML 2026 / KDD 2026

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2026 顶会论文

4
作者位次 #4/4ACL 2026Poster· Natural Language Processing

Can Factual Opinions Be Edited (Manipulated) in Large Language Models?

Yuanpu Cao · Ziyi Yin · Fenglong Ma · Jinghui Chen

摘要

Large Language Models (LLMs) are increasingly integrated into various domains, making knowledge editing techniques crucial yet potentially hazardous. Current editing methods primarily target atomic facts, overlooking the significant risks associated with manipulating “factual opinions”, e.g., doc...

评测与基准检索与知识对齐与偏好OpenReview 项目页
作者位次 #4/5ACL 2026Poster· Natural Language Processing

ICDAGENT : Empowering Agentic Large Language Models for Explainable Medical Coding

Ziyi Yin · Yuanpu Cao · Ting Wang · Jinghui Chen · Fenglong Ma

摘要

The explainable medical coding task aims to automatically assign International Classification of Diseases (ICD) codes to clinical notes while providing explicit justifications for each assignment. Recent approaches employ large language models (LLMs) to generate such explanations. However, their...

推理代码社会与人本OpenReview 项目页

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