Ongoing Work
Ongoing Work
TAPE: Tool-Guided Adaptive Planning and Constrained Execution in Language Model Agents
Jongwon Jeong, Jungtaek Kim, Kangwook Lee
Preprint (to appear), 2026
TAPE: Tool-Guided Adaptive Planning and Constrained Execution in Language Model Agents
Jongwon Jeong, Jungtaek Kim, Kangwook Lee
Preprint (to appear), 2026
How to Correctly Report LLM-as-a-Judge Evaluations [Code]
Chungpa Lee, Thomas Zeng, Jongwon Jeong, Jy-yong Sohn, Kangwook Lee
arXiv, 2025
2026
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
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)
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
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
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