Kang, Wonjun

10 publications

ICLR 2026 Draft-Based Approximate Inference for LLMs Kevin Galim, Ethan Ewer, Wonjun Kang, Minjae Lee, Hyung Il Koo, Kangwook Lee

ICLR 2026 ParallelBench: Understanding the Trade-Offs of Parallel Decoding in Diffusion LLMs Wonjun Kang, Kevin Galim, Seunghyuk Oh, Minjae Lee, Yuchen Zeng, Shuibai Zhang, Coleman Richard Charles Hooper, Yuezhou Hu, Hyung Il Koo, Nam Ik Cho, Kangwook Lee

WACV 2025 Counting Guidance for High Fidelity Text-to-Image Synthesis Wonjun Kang, Kevin Galim, Hyung Il Koo, Nam Ik Cho

ICLRW 2025 In-Batch Ensemble Drafting: Robust Speculative Decoding for LVLMs Minjae Lee, Wonjun Kang, Byeongkeun Ahn, Christian Classen, Minghao Yan, Hyung Il Koo, Kangwook Lee

ICML 2025 Parameter-Efficient Fine-Tuning of State Space Models Kevin Galim, Wonjun Kang, Yuchen Zeng, Hyung Il Koo, Kangwook Lee

ICML 2025 TabFlex: Scaling Tabular Learning to Millions with Linear Attention Yuchen Zeng, Tuan Dinh, Wonjun Kang, Andreas C Mueller

ICML 2025 VersaPRM: Multi-Domain Process Reward Model via Synthetic Reasoning Data Thomas Zeng, Shuibai Zhang, Shutong Wu, Christian Classen, Daewon Chae, Ethan Ewer, Minjae Lee, Heeju Kim, Wonjun Kang, Jackson Kunde, Ying Fan, Jungtaek Kim, Hyung Il Koo, Kannan Ramchandran, Dimitris Papailiopoulos, Kangwook Lee

ECCV 2024 Eta Inversion: Designing an Optimal Eta Function for Diffusion-Based Real Image Editing Wonjun Kang, Kevin Galim, Hyung Il Koo

NeurIPSW 2024 Parameter-Efficient Fine-Tuning of State Space Models Kevin Galim, Wonjun Kang, Yuchen Zeng, Hyung Il Koo, Kangwook Lee

NeurIPSW 2024 TabFlex: Scaling Tabular Learning to Millions with Linear Attention Yuchen Zeng, Wonjun Kang, Andreas C Mueller