Hello,
 안녕하세요
I'm a Postdoctoral Researcher working with Yejin Choi at NVIDIA. Previously, I was a Young Investigator and an intern at the Allen Institute for AI (Ai2). I received my Ph.D. in Computer Science from Seoul National University, advised by Gunhee Kim.
My research goal is to enhance machine's ability to reason and process social information, such as theory of mind, and to develop systems that are socially competent and responsible. To achieve this, I explore two key directions: optimizing inference-time algorithms to make the most of existing models, and synthesizing large-scale data to address areas where models currently fall short. Additionally, I am interested in taking an interdisciplinary approach to my research, bridging AI and cognitive science. In particular, I like to distill insights from human development and cognition into models for social reasoning.
Recent News
- Jan 2025 - I joined NVIDIA to explore new exciting research directions!
- Aug 2024 - Two papers on social interaction and theory of mind accepted at EMNLP.
- Mar 2024 - Gave an invited talk at the UPenn NLP group seminar about theory of mind and AI.
- Feb 2024 - Gave an invited talk at Google about our recent work on contextual privacy.
- Jan 2024 - Confaide has been accepted at ICLR 2024 as spotlight.
- Dec 2023 - 🏆 SODA won the Outstanding Paper Award at EMNLP.
- Dec 2023 - Gave an invited talk at NUS about our recent work on theory of mind and privacy.
- Dec 2023 - I gave an invited talk at the BrainLink symposium.
Publications
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SimpleToM: Exposing the Gap between Explicit ToM Inference and Implicit ToM Application in LLMs
Yuling Gu, Oyvind Tafjord, Hyunwoo Kim, Jared Moore, Ronan Le Bras, Peter Clark, Yejin Choi
arXiv 2024
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HAICOSYSTEM: An Ecosystem for Sandboxing Safety Risks in Human-AI Interactions
Xuhui Zhou, Hyunwoo Kim*, Faeze Brahman*, Liwei Jiang, Hao Zhu, Ximing Lu, Frank Xu, Bill Yuchen Lin, Yejin Choi, Niloofar Mireshghallah, Ronan Le Bras, Maarten Sap
arXiv 2024
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Perceptions to Beliefs: Exploring Precursory Inferences for Theory of Mind in Large Language Models
Chani Jung, Dongkwan Kim, Jiho Jin, Jiseon Kim, Yeon Seonwoo, Yejin Choi, Alice Oh, Hyunwoo Kim
EMNLP 2024
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Is this the real life? Is this just fantasy?
The Misleading Success of Simulating Social Interactions With LLMs
Xuhui Zhou, Zhe Su, Tiwalayo Eisape, Hyunwoo Kim, Maarten Sap
EMNLP 2024
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Alpaca against Vicuna: Using LLMs to Uncover Memorization of LLMs
Aly M. Kassem*, Omar Mahmoud*, Niloofar Mireshghallah*, Hyunwoo Kim, Yulia Tsvetkov, Yejin Choi, Sherif Saad, Santu Rana
arXiv 2024
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Deal, or no deal (or who knows)? Forecasting Uncertainty in Conversations using LLMs
Anthony Sicilia, Hyunwoo Kim, Khyathi Raghavi Chandu, Malihe Alikhani, Jack Hessel
Findings of ACL 2024
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Can LLMs Keep a Secret?
Testing Privacy Implications of Language Models via Contextual Integrity Theory
Hyunwoo Kim*, Niloofar Mireshghallah*, Xuhui Zhou, Yulia Tsvetkov, Maarten Sap, Reza Shokri, Yejin Choi
ICLR 2024 · Spotlight
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FANToM: A Benchmark for Stress-testing Machine Theory of Mind in Interactions
Hyunwoo Kim, Melanie Sclar, Xuhui Zhou, Ronan Le Bras, Gunhee Kim, Yejin Choi, Maarten Sap
EMNLP 2023 · Oral
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SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization
Hyunwoo Kim, Jack Hessel, Liwei Jiang, Peter West, Ximing Lu, Youngjae Yu, Pei Zhou, Ronan Le Bras, Malihe Alikhani, Gunhee Kim, Maarten Sap, Yejin Choi
EMNLP 2023 · Oral ✶ Outstanding Paper Award
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ProsocialDialog: A Prosocial Backbone for Conversational Agents
Hyunwoo Kim*, Youngjae Yu*, Liwei Jiang, Ximing Lu, Daniel Khashabi, Gunhee Kim, Yejin Choi, Maarten Sap
EMNLP 2022
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Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes
Hyunwoo Kim, Byeongchang Kim, Gunhee Kim
EMNLP 2021
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KLUE: Korean Language Understanding Evaluation
Sungjoon Park*, Jihyung Moon*, Sungdong Kim*, Won Ik Cho*, ..., Hyunwoo Kim, ..., Alice Oh**, Jung-Woo Ha**, Kyunghyun Cho** (31 authors)
NeurIPS Datasets and Benchmarks 2021
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How Robust are Fact Checking Systems on Colloquial Claims?
Byeongchang Kim*, Hyunwoo Kim*, Seokhee Hong, Gunhee Kim
NAACL-HLT 2021
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Will I Sound Like Me?
Improving Persona Consistency in Dialogues through Pragmatic Self-Consciousness
Hyunwoo Kim, Byeongchang Kim, and Gunhee Kim
EMNLP 2020 · Oral
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Curiosity Bottleneck: Exploration by Distilling Task-Specific Novelty
Youngjin Kim, Hyunwoo Kim*, Wontae Nam*, Jihoon Kim, Gunhee Kim
ICML 2019
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Abstractive Summarization of Reddit Posts with Multi-level Memory Networks
Byeongchang Kim, Hyunwoo Kim, Gunhee Kim
NAACL-HLT 2019 · Oral
Honors & Awards
- Outstanding Paper Award, EMNLP, 2023
- Distinguished Doctoral Dissertation Award, Department of CSE, Seoul National University, 2023
- AI Star Scholarship, Yulchon Foundation, 2022
- Outstanding Researcher Fellowship, Department of CSE, Seoul National University, 2022
- Star Student Researcher Award, Department of CSE, Seoul National University, 2022
- Qualcomm Innovation Fellowship, Qualcomm Korea, 2021
- NAVER Ph.D. Fellowship, NAVER, 2021
- Kwanjeong Scholarship, Kwanjeong Educational Foundation, 2019
- National Academic Excellence Scholarship, KOSAF, 2012
About Me
I always love to go taste delicious food. Please let me know if you know some great places to visit! I also enjoy watching Formula One. My favorite driver is Carlos Sainz. Smooooth operatorrrr.