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Juhyun Oh

ACL 2026×3NeurIPS 2026评测与基准社会与人本推理对齐与偏好数据与预训练
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1 一作 · 4 篇 · ACL 2026 / NeurIPS 2026

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2026 顶会论文

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作者位次 #3/8ACL 2026Poster· Natural Language Processing

Are they lovers or friends? Evaluating LLM s’ Social Reasoning in E nglish and K orean Dialogues

Eunsu Kim · Junyeong Park · Juhyun Oh · Kiwoong Park · Seyoung Song · A. Seza Doğruöz · Alice Oh · Najoung Kim

摘要

As LLMs are increasingly deployed in real-world interactions, their social reasoning in interpersonal communication becomes critical. To explore their capabilities, we introduce SCRIPTS, a 1.1k-dialogue dataset in English and Korean, sourced from movie scripts and propose a social reasoning task...

推理社会与人本评测与基准OpenReview 项目页
一作ACL 2026Poster· Natural Language Processing

OLA : Output Language Alignment in Code-Switched LLM Interactions

Juhyun Oh · Haneul Yoo · Faiz Ghifari Haznitrama · Alice Oh

摘要

Code-switching, alternating between languages within a conversation, is natural for multilingual users, yet poses fundamental challenges for large language models (LLMs). When a user code-switches in their prompt to an LLM, they typically do not specify the expected language of the LLM response,...

推理对齐与偏好评测与基准OpenReview 项目页
作者位次 #3/7ACL 2026Findings· Findings of ACL

R ole C onflict B ench: A Benchmark of Role Conflict Scenarios for Evaluating LLM s’ Contextual Sensitivity

Jisu Shin · Hoyun Song · Juhyun Oh · Changgeon Ko · Eunsu Kim · Chani Jung · Alice Oh

摘要

People often encounter role conflicts—social dilemmas where the expectations of multiple roles clash and cannot be simultaneously fulfilled. As large language models (LLMs) increasingly navigate these social dynamics, a critical research question emerges. When faced with such dilemmas, do LLMs pr...

评测与基准对齐与偏好数据与预训练OpenReview 项目页

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