Research
I'm interested in Vision-Language-Action (VLA) models and Agentic AI,
with a broader goal of building fully autonomous embodied AI and agents.
Representative papers are highlighted.
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Do VLAs Really Follow Instructions? Diagnosing How-Level Instruction Following in Vision-Language-Action Models
Sangwu Park, Wonjoong Kim, Yeonjun In, Chanyoung Park
Preprint
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ManiPhysicsBench: Physics-Based Assessment of Object Preservation in VLA Manipulation
Sangwu Park, Yeonjun In, Wonjoong Kim, Sungwon Kim, Sein Kim, Chanyoung Park
Preprint
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Personalize-then-Store: Benchmarking and Learning Personalized Memory for Long-horizon Agents
Yeonjun In, Wonjoong Kim, Sangwu Park, Kanghoon Yoon, Chanyoung Park
NeurIPS 2026
Also appeared in KDD 2026 PILA Workshop Best Paper Award
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PAIR: Prefix-Aware Internal Reward Model for Multi-Turn Agent Optimization
Wonjoong Kim, Yeonjun In, Sangwu Park, Dongha Lee, Chanyoung Park
NeurIPS 2026
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Self-EvolveRec: Self-Evolving Recommender Systems with LLM-based Directional Feedback
Sein Kim, Sangwu Park, Hongseok Kang, Wonjoong Kim, Jimin Seo, Yeonjun In, Kanghoon Yoon, Chanyoung Park
NeurIPS 2026
Also appeared in ICLR 2026 RSI Workshop, KDD 2026 Agentic SE Workshop
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Test-Time Training for Visual Foresight Vision-Language-Action Models
Sangwu Park, Wonjoong Kim, Yeonjun In, Sein Kim, Hongseok Kang, Chanyoung Park
ICML 2026 CATS Workshop
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Rethinking Failure Attribution in Multi-Agent Systems: A Multi-Perspective Benchmark and Evaluation
Yeonjun In, Mehrab Tanjim, Jayakumar Subramanian, Sungchul Kim, Uttaran Bhattacharya, Wonjoong Kim, Sangwu Park, Somdeb Sarkhel, Chanyoung Park
Preprint
Also appeared in ICML 2026 FMAI Workshop, KDD 2026 Agentic SE Workshop
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Beyond the Final Answer: Evaluating the Reasoning Trajectories of Tool-Augmented Agents
Wonjoong Kim, Sangwu Park, Yeonjun In, Sein Kim, Dongha Lee, Chanyoung Park
ICML 2026
Also appeared in KDD 2026 Agentic AI Evaluation Workshop
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Reasoning Structure Matters for Safety Alignment of Reasoning Models
Yeonjun In, Wonjoong Kim, Sangwu Park, Chanyoung Park
ACL 2026
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Is Safety Standard Same for Everyone? User-Specific Safety Evaluation of Large Language Models
Yeonjun In, Wonjoong Kim, Kanghoon Yoon, Sungchul Kim, Mehrab Tanjim, Sangwu Park, Kibum Kim, Chanyoung Park
EMNLP 2025 Findings
Also appeared in NeurIPS 2025 Reliable ML Workshop
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SIMPLOT: Enhancing Chart Question Answering by Distilling Essential
Wonjoong Kim*, Sangwu Park*, Yeonjun In, Seokwon Han, Chanyoung Park
NAACL 2025 Findings (* equal contribution)
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