Hi, I'm Chan Hee (Luke) Song.

I am a final-year PhD candidate at The Ohio State University advised by Yu Su.

My research focuses on multimodal agents, particularly on planning, perception, and reasoning.

I am interning at Google Research, and previously interned at NVIDIA Research and Adobe Research.

Find me on , , and .


What's New

August 2025

Honored to serve as an Area Chair for ICLR 2026.

July 2025

Checkout Mind2Web 2, a rigorous benchmark for Deep Research and Agentic Search!

June 2025

Selected to attend CVPR Doctoral Consortium to connect with senior researchers. I'll be mentored by Prof. Katerina Fragkiadaki (CMU).

April 2025

Released Online-Mind2Web benchmark, showing current web agents are far less capable than reported.

March 2025

Interning at Google Cloud AI Research this summer working on multimodal agents. Catch me (again) in Seattle!

Feb 2025

RoboSpatial (Oral) has been accepted to CVPR 2025 with a perfect 5,5,5 score!

Feb 2025

VisualAgentBench has been accepted to ICLR 2025.

Nov 2024

Excited to present RoboSpatial, a work partly done at Nvidia. We present a large-scale 2D/3D spatial understanding dataset and benchmark tailored for robotics. Stay tuned for the full release!

Jun 2024

BioCLIP won the best student paper award at CVPR 2024! Honored to be part of the team.

Feb 2024

BioCLIP, a biology vision foundation model (Oral), and Dual-VCR, a dual-view web-navigation method (Poster) have been accepted to CVPR 2024!

Feb 2024

I will be interning at Nvidia Learning and Perception Research Group this summer. Catch me in Seattle!

Jul 2023

LLM-Planner, a paper on using large language models for vison-and-language navigation accepted to ICCV 2023.

Mar 2023

Our SalsaBot work for Amazon Alexa Prize Challenge has been accepted to the Embodied AI Workshop at CVPR 2023!

Mar 2023

I will be interning at Adobe Research this summer. Catch me in San Jose!


Selected Publications

See full list in Publications.

  • RoboSpatial: Teaching Spatial Understanding to 2D and 3D Vision-Language Models for Robotics

    Chan Hee Song, Valts Blukis, Jonathan Tremblay, Stephen Tyree, Yu Su, Stan Birchfield

    CVPR 2025 Oral (0.74%) / Part of GR00T N1.5 Paper Website Code Data

  • VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents

    Xiao Liu, Tianjie Zhang, Yu Gu, Iat Long Iong, Yifan Xu, Xixuan Song, Shudan Zhang, Hanyu Lai, Xinyi Liu, Hanlin Zhao, Jiadai Sun, Xinyue Yang, Yu Yang, Zehan Qi, Shuntian Yao, Xueqiao Sun, Siyi Cheng, Qinkai Zheng, Hao Yu, Hanchen Zhang, Wenyi Hong, Ming Ding, Lihang Pan, Xiaotao Gu, Aohan Zeng, Zhengxiao Du, Chan Hee Song, Yu Su, Yuxiao Dong, Jie Tang

    ICLR 2025 Featured in Stanford AI Index Report 2025 Paper Code

  • BioCLIP: A Vision Foundation Model for the Tree of Life

    Samuel Stevens, Jiaman Wu, Matthew J Thompson, Elizabeth G Campolongo, Chan Hee Song, David Edward Carlyn, Li Dong, Wasila M Dahdul, Charles Stewart, Tanya Berger-Wolf, Wei-Lun Chao, Yu Su

    CVPR 2024 Best Student Paper Award (0.03%) Paper Website Code Data

  • LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models

    Chan Hee Song, Jiaman Wu, Clayton Washington, Brian M. Sadler, Wei-Lun Chao, Yu Su

    ICCV 2023 Top 5 Most Cited AI Paper on arXiv (2022) Paper Website Code

  • One Step at a Time: Long-Horizon Vision-and-Language Navigation with Milestones

    Chan Hee Song, Jihyung Kil, Tai-Yu Pan, Brian M. Sadler, Wei-Lun Chao, Yu Su

    CVPR 2022 Paper

Contact
Email: 1ch[LAST_NAME]@gmail.com

Feel free to contact me on anything including collaboration, job opportunities, or just a friendly hello :)