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Yoonah Park

ACL 2026ICML 2026检索与知识推理对齐与偏好安全
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一作贡献30
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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 2026Poster· Deep Learning / Large Language Models

Bridging the Knowledge-Prediction Gap in LLMs on Multiple-Choice Questions

Yoonah Park · Haesung Pyun · Yohan Jo

检索与知识OpenReview
作者位次 #2/4ACL 2026Findings· Findings of ACL

Learning to Retrieve User History and Generate User Profiles for Personalized Persuasiveness Prediction

Sejun Park · Yoonah Park · Jongwon Lim · Yohan Jo

摘要

Estimating the persuasiveness of messages is critical in various applications, from recommender systems to safety assessment of LLMs. While it is imperative to consider the target persuadee’s characteristics, such as their values, experiences, and reasoning styles, there is currently no establish...

推理对齐与偏好安全OpenReview 项目页

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