Hyunwoo Kim
29 papers · 2015–2025 · 8 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (10) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) 🐝 Cross-Pollinator (9)
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Academic Marathon
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Keyword Pioneer
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(7)
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(7)
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Century Club
(29)
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Keyword Collector
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Conferences
EMNLP (10)
CVPR (6)
AAAI (4)
NAACL (3)
ICLR (2)
ICML (2)
ACL (1)
MIDL (1)
Top co-authors
Keywords
large language model
(6)
dialogue system
(3)
online learning
(2)
benchmark evaluation
(2)
dialogue safety
(2)
continual learning
(2)
theory of mind
(2)
knowledge graph
(2)
commonsense reasoning
(2)
question answering
(2)
adversarial learning
(2)
natural language inference
(1)
dirichlet process
(1)
data augmentation
(1)
weakly supervised learning
(1)
uncertainty quantification
(1)
3d reconstruction
(1)
information bottleneck
(1)
chain-of-thought reasoning
(1)
causal reasoning
(1)
Papers
ALPACA AGAINST VICUNA: Using LLMs to Uncover Memorization of LLMs
NAACL 2025
Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions
EMNLP 2025
Geometry in Style: 3D Stylization via Surface Normal Deformation
CVPR 2025
Deal, or no deal (or who knows)? Forecasting Uncertainty in Conversations using Large Language Models
ACL 2024
Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory
ICLR 2024
Is this the real life? Is this just fantasy? The Misleading Success of Simulating Social Interactions With LLMs
EMNLP 2024
Perceptions to Beliefs: Exploring Precursory Inferences for Theory of Mind in Large Language Models
EMNLP 2024
Learning Equi-angular Representations for Online Continual Learning
CVPR 2024
XDetox: Text Detoxification with Token-Level Toxicity Explanations
EMNLP 2024
VVS: Video-to-Video Retrieval with Irrelevant Frame Suppression
AAAI 2024
Large Language Models are Temporal and Causal Reasoners for Video Question Answering
EMNLP 2023
Relation-Aware Language-Graph Transformer for Question Answering
AAAI 2023
SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization
EMNLP 2023
FANToM: A Benchmark for Stress-testing Machine Theory of Mind in Interactions
EMNLP 2023
Conservative Bayesian Model-Based Value Expansion for Offline Policy Optimization
ICLR 2023
PILLET-GAN: Pixel-Level Lesion Traversal Generative Adversarial Network for Pneumonia Localization
MIDL 2022
ProsocialDialog: A Prosocial Backbone for Conversational Agents
EMNLP 2022
Perception Prioritized Training of Diffusion Models
CVPR 2022
VISOLO: Grid-Based Space-Time Aggregation for Efficient Online Video Instance Segmentation
CVPR 2022
Bridging the Gap Between Classification and Localization for Weakly Supervised Object Localization
CVPR 2022
Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes
EMNLP 2021
Explaining Convolutional Neural Networks through Attribution-Based Input Sampling and Block-Wise Feature Aggregation
AAAI 2021
How Robust are Fact Checking Systems on Colloquial Claims?
NAACL 2021
Online Class-Incremental Continual Learning with Adversarial Shapley Value
AAAI 2021
Will I Sound Like Me? Improving Persona Consistency in Dialogues through Pragmatic Self-Consciousness
EMNLP 2020
Learning Not to Learn: Training Deep Neural Networks With Biased Data
CVPR 2019
Abstractive Summarization of Reddit Posts with Multi-level Memory Networks
NAACL 2019
Curiosity-Bottleneck: Exploration By Distilling Task-Specific Novelty
ICML 2019
Manifold-valued Dirichlet Processes
ICML 2015