Publications

(*) denotes equal contribution

2025

• PRESTO: Preimage-Informed Instruction Optimization for Prompting Black-Box LLMs
  Jaewon Chu, Seunghun Lee, Hyunwoo J. Kim
  Advances in Neural Information Processing Systems (NeurIPS), 2025
  [Paper] [Code]
  
• Latent Bayesian Optimization via Autoregressive Normalizing Flows
  Seunghun Lee, Jinyoung Park, Jaewon Chu, Minseo Yoon, Hyunwoo J. Kim
  International Conference on Learning Representations (ICLR), 2025 (Oral presentation, top 1.8%)
  [Paper] [Code]
  

2024

• Inversion-based Latent Bayesian Optimization
  Jaewon Chu^*, Jinyoung Park^*, Seunghun Lee, Hyunwoo J. Kim
  Advances in Neural Information Processing Systems (NeurIPS), 2024
  [Paper] [Code]
  
• vid-TLDR: Training Free Token merging for Light-weight Video Transformer
  Joonmyung Choi^*, Sanghyeok Lee^*, Jaewon Chu, Minhyuk Choi, Hyunwoo J. Kim
  Computer Vision and Pattern Recognition (CVPR), 2024
  [Paper] [Code]
  

2023

• Advancing Bayesian Optimization via Learning Smooth Latent Spaces
  Seunghun Lee^*, Jaewon Chu^*, Sihyeon Kim^*, Juyeon Ko, Hyunwoo J. Kim
  Advances in Neural Information Processing Systems (NeurIPS), 2023
  [Paper] [Code]
  
• NuTrea: Neural Tree Search for Context-guided Multi-hop KGQA
  Hyeong Kyu Choi, Seunghun Lee, Jaewon Chu, Hyunwoo J. Kim
  Advances in Neural Information Processing Systems (NeurIPS), 2023
  [Paper] [Code]
  
• Open-Vocabulary Video Question Answering: A New Benchmark for Evaluating the Generalizability of Video Question Answering Models
  Dohwan Ko, Ji Soo Lee, Miso Choi, Jaewon Chu, Jihwan Park, Hyunwoo J. Kim
  International Conference on Computer Vision (ICCV), 2023
  [Paper] [Code]