Ongoing Research Project
Ongoing Research Project
μ(·): Exploration and Exploitation Are Measurable in Large Language Model Agents
Self-evolving LLM Agents
Diffusion Language Models
μ(·): Exploration and Exploitation Are Measurable in Large Language Model Agents
Self-evolving LLM Agents
Diffusion Language Models
How to Correctly Report LLM-as-a-Judge Evaluations [Code]
Chungpa Lee, Thomas Zeng, Jongwon Jeong, Jy-yong Sohn, Kangwook Lee
arXiv, 2025
C: Conference, W: Workshop
2026
[W1] TAPE: Tool-Guided Adaptive Planning and Constrained Execution in Language Model Agents [Code]
Jongwon Jeong, Jungtaek Kim, Kangwook Lee
ICLR 2026 Workshop on Agentic AI in the Wild, 2026
[C5] T1: Tool-integrated Verification for Test-time Compute Scaling in Small Language Models
Minki Kang*, Jongwon Jeong*, Jaewoong Cho (*: Equally Contributed)
International Conference on Learning Representations (ICLR), 2026
2025
[C4] Distilling LLM Agent into Small Models with Retrieval and Code Tools [Code]
Minki Kang, Jongwon Jeong, Seanie Lee, Jaewoong Cho, Sung Ju Hwang
Neural Information Processing Systems (NeurIPS), 2025 (Spotlight)
[C3] How to Move Your Dragon: Text-to-Motion Synthesis for Large-Vocabulary Objects [Project page]
Wonkwang Lee, Jongwon Jeong*, Taehong Moon*, Hyeon-Jong Kim, Jaehyeon Kim, Gunhee Kim, Byeong-Uk Lee (*: Equally Contributed)
International Conference on Machine Learning (ICML), 2025
2024 and earlier
[C2] iGraphMix: Input Graph Mixup Method for Node Classification
Jongwon Jeong, Hoyeop Lee, Hyui Geon Yoon, Beomyoung Lee, Junhee Heo, Geonsoo Kim, Kim Jin Seon
International Conference on Learning Representations (ICLR), 2024
[C1] FPAdaMetric: False-Positive-Aware Adaptive Metric Learning for Session-Based Recommendation [Code]
Jongwon Jeong, Jeong Choi, Hyunsouk Cho, and Sehee Chung
AAAI Conference on Artificial Intelligence (AAAI), 2022