Jongwon Jeong
Scholar

Jongwon Jeong

Google Scholar ID: km_SjroAAAAJ
University of Wisconsin-Madison
Data-centric AILarge Language ModelsDeep Learning
Citations & Impact
All-time
Citations
19
 
H-index
3
 
i10-index
0
 
Publications
6
 
Co-authors
15
list available
Resume (English only)
Academic Achievements
  • Papers: 'Distilling LLM Agents into Small Models with Retrieval and Code Tools' accepted at NeurIPS 2025 (Spotlight); 'T1: Tool-integrated Self-verification for Test-time Compute Scaling in Small Language Models' arXiv, 2025; 'How to Move Your Dragon: Text-to-Motion Synthesis for Large-Vocabulary Objects' ICML 2025; 'iGraphMix: Input Graph Mixup Method for Node Classification' ICLR 2024; 'Human-like Evaluation Paradigms for Post-hoc Explanation Method Using Masked Language Model' Preprint, 2023; 'FPAdaMetric: False-Positive-Aware Adaptive Metric Learning for Session-Based Recommendation' AAAI 2022.
Research Experience
  • Deep Learning Research Engineer at KRAFTON Inc., Oct. 2023 – Aug. 2025; AI Researcher at NCSOFT Corp, Applied AI Lab, NLP Center, Aug. 2020 – Oct. 2023.
Education
  • Ph.D. in Electrical and Computer Engineering, University of Wisconsin-Madison, Sep 2025 – Present, Advisor: Prof. Kangwook Lee; M.S. in Electrical Engineering, KAIST, Aug. 2018 – Aug. 2020, Advisor: Prof. Sae-Young Chung; B.S. in Electrical Engineering (Cum Laude), KAIST, Mar. 2014 – Aug. 2018.
Background
  • Research Interests: Language Model Agents, Tool-augmented Reasoning, Data-centric AI, Small Language Models (sLMs). Application areas include Graph Learning, Recommender Systems, Game AI, and Embodied AI.