Sunghwan Kim
12 papers · 2023–2025 · 6 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (26) 🌍 Conference Polyglot · Silver 🗃️ Keyword Collector (54) ⚡ Prolific Year · Productive
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The Questioner
(2)
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Century Club · Bronze
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Research topics
Artificial Intelligence
(8)
Core AI
(8)
Natural Language Processing
(5)
Machine Learning
(4)
Deep Learning
(3)
Generation
(3)
Learning Types · Machine Learning
(3)
Data Science & Analytics
(2)
Application Areas
(2)
Applications
(2)
Models
(2)
Computer Vision
(1)
Domain-Specific
(1)
Learning Types · Deep Learning
(1)
Optimization & Theory
(1)
Keywords
dialogue system
(3)
large language model
(3)
user simulation
(2)
benchmark evaluation
(2)
preference elicitation
(2)
conversational recommender system
(2)
preference alignment
(1)
domain randomization
(1)
self-supervised learning
(1)
evaluation methodology
(1)
scene graph generation
(1)
evaluation framework
(1)
reinforcement learning from human feedback
(1)
policy selection
(1)
domain generalization
(1)
language model
(1)
strategy selection
(1)
multimodal learning
(1)
algorithmic reasoning
(1)
hierarchical optimization
(1)
Papers
LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study
ACL 2025
MISO: Multiresolution Submap Optimization for Efficient Globally Consistent Neural Implicit Reconstruction
RSS 2025
Rethinking Reward Model Evaluation Through the Lens of Reward Overoptimization
ACL 2025
Stop Playing the Guessing Game! Evaluating Conversational Recommender Systems via Target-free User Simulation
EMNLP 2025
ToolHaystack: Stress-Testing Tool-Augmented Language Models in Realistic Long-Term Interactions
EMNLP 2025
Towards Personalized Conversational Sales Agents: Contextual User Profiling for Strategic Action
EMNLP 2025
Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation
ICLR 2025
Cactus: Towards Psychological Counseling Conversations using Cognitive Behavioral Theory
EMNLP 2024
Can Large Language Models be Good Emotional Supporter? Mitigating Preference Bias on Emotional Support Conversation
ACL 2024
Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models
EMNLP 2024
Textual Query-Driven Mask Transformer for Domain Generalized Segmentation
ECCV 2024
Texture Learning Domain Randomization for Domain Generalized Segmentation
ICCV 2023