Privasis: Synthesizing the Largest 'Public' Private Dataset from Scratch
Hyunwoo Kim*,
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arXiv Preprint
2026
Golden Goose: A Simple Trick to Synthesize Unlimited RLVR Tasks from Unverifiable Internet Text
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Hyunwoo Kim,
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arXiv Preprint
2026
A False Sense of Privacy: Evaluating Textual Data Sanitization Beyond Surface-level Privacy Leakage
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Hyunwoo Kim,
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IEEE Conference on Secure and Trustworthy Machine Learning (SaTML)
2026
SimpleToM: Exposing the Gap between Explicit ToM Inference and Implicit ToM Application in LLMs
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Hyunwoo Kim,
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International Conference on Learning Representations (ICLR)
2026
Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions
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Hyunwoo Kim*},
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Empirical Methods in Natural Language Processing (EMNLP)
2025
Long Grounded Thoughts: Distilling Compositional Visual Reasoning Chains at Scale
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Hyunwoo Kim,
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arXiv Preprint
2025
HAICOSYSTEM: An Ecosystem for Sandboxing Safety Risks in Human-AI Interactions
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Hyunwoo Kim*,
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Conference on Language Modeling (COLM)
2025
Hypothesis-Driven Theory-of-Mind Reasoning for Large Language Models
Hyunwoo Kim,
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Conference on Language Modeling (COLM)
2025
Social World Models: Universal Structured Representation for Social Reasoning
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Hyunwoo Kim,
arXiv Preprint
2025
Retro-Search: Exploring Untaken Paths for Deeper and Efficient Reasoning
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Hyunwoo Kim*,
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arXiv Preprint
2025
Alpaca against Vicuna: Using LLMs to Uncover Memorization of LLMs
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Hyunwoo Kim,
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Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL)
2025
Perceptions to Beliefs: Exploring Precursory Inferences for Theory of Mind in Large Language Models
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Hyunwoo Kim
Empirical Methods in Natural Language Processing (EMNLP)
2024
Is this the real life? Is this just fantasy?
The Misleading Success of Simulating Social Interactions With LLMs
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Hyunwoo Kim,
Empirical Methods in Natural Language Processing (EMNLP)
2024
Deal, or no deal (or who knows)? Forecasting Uncertainty in Conversations using LLMs
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Hyunwoo Kim,
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Findings of the Association for Computational Linguistics (Findings of ACL)
2024
Can LLMs Keep a Secret?
Testing Privacy Implications of Language Models via Contextual Integrity Theory
Hyunwoo Kim*,
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International Conference on Learning Representations (ICLR)
2024
Spotlight
FANToM: A Benchmark for Stress-testing Machine Theory of Mind in Interactions
Hyunwoo Kim,
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Empirical Methods in Natural Language Processing (EMNLP)
2023
Oral
SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization
Hyunwoo Kim,
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Empirical Methods in Natural Language Processing (EMNLP)
2023
Oral
Outstanding Paper Award
ProsocialDialog: A Prosocial Backbone for Conversational Agents
Hyunwoo Kim*,
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Empirical Methods in Natural Language Processing (EMNLP)
2022
KLUE: Korean Language Understanding Evaluation
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Hyunwoo Kim,
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Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks
2021
Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes
Hyunwoo Kim,
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Empirical Methods in Natural Language Processing (EMNLP)
2021
How Robust are Fact Checking Systems on Colloquial Claims?
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Hyunwoo Kim*,
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Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL)
2021
Will I Sound Like Me?
Improving Persona Consistency in Dialogues through Pragmatic Self-Consciousness
Hyunwoo Kim,
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Empirical Methods in Natural Language Processing (EMNLP)
2020
Oral
Curiosity Bottleneck: Exploration by Distilling Task-Specific Novelty
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Hyunwoo Kim*,
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International Conference on Machine Learning (ICML)
2019
Abstractive Summarization of Reddit Posts with Multi-level Memory Networks
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Hyunwoo Kim,
Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL)
2019
Oral