Curiosity-Bottleneck: Exploration By Distilling Task-Specific Novelty. - Youngjin Kim; Wontae Nam; Hyunwoo Kim 002; Ji-Hoon Kim; Gunhee Kim (ICML, 2019)

Abstractive Summarization of Reddit Posts with Multi-level Memory Networks. - Byeongchang Kim 002; Hyunwoo Kim 002; Gunhee Kim (NAACL-HLT (1), 2019)

Will I Sound Like Me? Improving Persona Consistency in Dialogues through Pragmatic Self-Consciousness. - Hyunwoo Kim 002; Byeongchang Kim 002; Gunhee Kim (EMNLP (1), 2020)

Public Self-consciousness for Endowing Dialogue Agents with Consistent Persona. - Hyunwoo Kim 002; Byeongchang Kim 002; Gunhee Kim (CoRR, 2020)

Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes. - Hyunwoo Kim 002; Byeongchang Kim 002; Gunhee Kim (EMNLP (1), 2021)

How Robust are Fact Checking Systems on Colloquial Claims? - Byeongchang Kim 002; Hyunwoo Kim 002; Seokhee Hong 002; Gunhee Kim (NAACL-HLT, 2021)

KLUE: Korean Language Understanding Evaluation. - Sungjoon Park; Jihyung Moon; Sungdong Kim; Won-Ik Cho; Jiyoon Han; Jangwon Park; Chisung Song; Junseong Kim; Youngsook Song; Tae Hwan Oh; Joohong Lee; Juhyun Oh; et al. (NeurIPS Datasets and Benchmarks, 2021)

KLUE: Korean Language Understanding Evaluation. - Sungjoon Park; Jihyung Moon; Sungdong Kim; Won-Ik Cho; Jiyoon Han; Jangwon Park; Chisung Song; Junseong Kim; Yongsook Song; Tae Hwan Oh; Joohong Lee; Juhyun Oh; et al. (CoRR, 2021)

ProsocialDialog: A Prosocial Backbone for Conversational Agents. - Hyunwoo Kim 002; Youngjae Yu; Liwei Jiang; Ximing Lu; Daniel Khashabi; Gunhee Kim; Yejin Choi 001; Maarten Sap (EMNLP, 2022)

SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization. - Hyunwoo Kim 002; Jack Hessel; Liwei Jiang; Ximing Lu; Youngjae Yu; Pei Zhou; Ronan Le Bras 001; Malihe Alikhani; Gunhee Kim; Maarten Sap; Yejin Choi 001 (CoRR, 2022)

SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization. - Hyunwoo Kim 002; Jack Hessel; Liwei Jiang; Peter West; Ximing Lu; Youngjae Yu; Pei Zhou; Ronan Le Bras 001; Malihe Alikhani; Gunhee Kim; Maarten Sap; Yejin Choi 001 (EMNLP, 2023)

FANToM: A Benchmark for Stress-testing Machine Theory of Mind in Interactions. - Hyunwoo Kim 002; Melanie Sclar; Xuhui Zhou; Ronan Le Bras 001; Gunhee Kim; Yejin Choi 001; Maarten Sap (EMNLP, 2023)

Deal, or no deal (or who knows)? Forecasting Uncertainty in Conversations using Large Language Models. - Anthony Sicilia; Hyunwoo Kim 002; Khyathi Raghavi Chandu; Malihe Alikhani; Jack Hessel (ACL (Findings), 2024)

Perceptions to Beliefs: Exploring Precursory Inferences for Theory of Mind in Large Language Models. - Chani Jung; Dongkwan Kim 001; Jiho Jin; Jiseon Kim; Yeon Seonwoo; Yejin Choi 001; Alice Oh; Hyunwoo Kim 002 (EMNLP, 2024)

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 002; Maarten Sap (EMNLP, 2024)

Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory. - Niloofar Mireshghallah; Hyunwoo Kim 002; Xuhui Zhou; Yulia Tsvetkov; Maarten Sap; Reza Shokri; Yejin Choi 001 (ICLR, 2024)

CULTURE-GEN: Revealing Global Cultural Perception in Language Models through Natural Language Prompting. - Huihan Li 001; Liwei Jiang; Jena D. Huang; Hyunwoo Kim 002; Sebastin Santy; Taylor Sorensen; Bill Yuchen Lin; Nouha Dziri; Xiang Ren 001; Yejin Choi 001 (CoRR, 2024)

HAICOSYSTEM: An Ecosystem for Sandboxing Safety Risks in Human-AI Interactions. - Xuhui Zhou; Hyunwoo Kim 002; Faeze Brahman; Liwei Jiang; Hao Zhu 011; Ximing Lu; Frank Xu; Bill Yuchen Lin; Yejin Choi 001; Niloofar Mireshghallah; Ronan Le Bras 001; Maarten Sap (CoRR, 2024)

SimpleToM: Exposing the Gap between Explicit ToM Inference and Implicit ToM Application in LLMs. - Yuling Gu; Oyvind Tafjord; Hyunwoo Kim 002; Jared Moore; Ronan Le Bras 001; Peter Clark; Yejin Choi 001 (CoRR, 2024)

ALPACA AGAINST VICUNA: Using LLMs to Uncover Memorization of LLMs. - Aly M. Kassem; Omar Mahmoud; Niloofar Mireshghallah; Hyunwoo Kim 002; Yulia Tsvetkov; Yejin Choi 001; Sherif Saad; Santu Rana (NAACL (Long Papers), 2025)

Hypothesis-Driven Theory-of-Mind Reasoning for Large Language Models. - Hyunwoo Kim 002; Melanie Sclar; Tan Zhi-Xuan; Lance Ying; Sydney Levine; Yang Liu; Joshua B. Tenenbaum; Yejin Choi 001 (CoRR, 2025)

Retro-Search: Exploring Untaken Paths for Deeper and Efficient Reasoning. - Ximing Lu; Seungju Han 002; David Acuna; Hyunwoo Kim 002; Jaehun Jung; Shrimai Prabhumoye; Niklas Muennighoff; Mostofa Patwary; Mohammad Shoeybi; Bryan Catanzaro; Yejin Choi 001 (CoRR, 2025)

A False Sense of Privacy: Evaluating Textual Data Sanitization Beyond Surface-level Privacy Leakage. - Rui Xin; Niloofar Mireshghallah; Shuyue Stella Li; Michael Duan; Hyunwoo Kim 002; Yejin Choi 001; Yulia Tsvetkov; Sewoong Oh; Pang Wei Koh (CoRR, 2025)

Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions. - David Acuna; Ximing Lu; Jaehun Jung; Hyunwoo Kim 002; Amlan Kar; Sanja Fidler; Yejin Choi 001 (CoRR, 2025)