About Me

I am a Ph.D. student at KAIST, working in the MMLab under Professor Joon Son Chung. I am also an AI researcher at Boeing Korea. I received my M.S. from VIC Lab, where I was advised by Professior Munchul Kim. My research broadly explores audio-centered AI, spanning multimodal and omni-LLMs, interpretability, and beyond. Feel free to reach out.

News

  • Oct 2026 Upcoming Attending EMNLP 2026 in Budapest Hungary flag.
  • Sep 2026 Upcoming Attending INTERSPEECH 2026 in Sydney Australia flag.
  • Aug 2026 1 paper accepted in EMNLP 2026.
  • Jun 2026 1 paper accepted in INTERSPEECH 2026.
  • Nov 2025 Attended ACMMM 2025 in Dublin Ireland flag.
  • Aug 2025 1 paper accepted in ACMMM 2025.

Publications

Tracing Audio Grounding Preview

Tracing Audio Grounding and Answer Selection in Audio LLMs

Hyebin Cho, Suho Yoo, Jihoo Jung, Joon Son Chung

Preprint πŸ“„ paper

Out of Sight Preview

Out of Sight, Still in Mind: Token Compression for Omni-LLMs

Suho Yoo, Youngjoon Jang, Hyebin Cho, Joon Son Chung

Preprint πŸ“„ paper

Who Wins the Conflict Preview

Who Wins the Conflict? Mechanistic Interpretability of Text Bias in Audio LLMs

Hyebin Cho, Suho Yoo, Jaehyuk Jang, Changick Kim, Joon Son Chung

EMNLP 2026 πŸ“„ paper

Acoustic Prompting Preview

Acoustic Prompting via Stage-Wise Modulation for Few-Shot Learning in Audio Language Models

Hyebin Cho, Jaehyuk Jang, Changick Kim, Joon Son Chung

INTERSPEECH 2026 πŸ“„ paper πŸ’» code

FaceMat Preview

Uncertainty-Guided Face Matting for Occlusion-Aware Face Transformation

Hyebin Cho, Jaehyup Lee

ACMMM 2025 πŸ“„ paper πŸ’» code

CFCA-SET Preview

CFCA-SET: Coarse-to-Fine Context-Aware SAR-to-EO Translation with Auxiliary Learning of SAR-to-NIR Translation

Jaehyup Lee, Hyebin Cho, Munchul Kim

TGRS 2023 πŸ“„ paper

Bokeh Effect Preview

Realistic Bokeh Effect Rendering on Mobile GPUs.

(*co-author as part of Mobile AI Challenge team)

ECCV 2022 Workshop πŸ“„ paper

Work Experiences

  • AI Researcher at Boeing Korea, 2024.02 – Present
  • Software Engineer at Samsung Electronics, 2021.02 – 2022.02
  • Software Intern at Naver Labs, 2020.09 – 2021.01
  • KAIST EE Co-op Intern at Koyoung Technology, 2019.09 – 2020.01

Education

  • Ph.D. in Electrical Engineering, KAIST β€” 2025 - Present
  • M.S. in Electrical Engineering, KAIST β€” 2024
  • B.S. in Electrical Engineering, KAIST β€” 2021
  • Science High School, Kyeongnam β€” 2016