Minsuk Chang
Minsuk Chang is a research scientist at Google Deepmind. He is interested in our and other agents’ (in)ability to acquire new skills/knowledge through interaction. He builds and studies the dynamics of learning processes, seeking to understand how agents effectively gather information, adapt to new situations, and expand their repertoire of behaviors.
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Google
LLM Comparator: Visual Analytics for Side-by-Side Evaluation of Large Language Models
Minsuk Kahng
Michael Xieyang Liu
Krystal Kallarackal
Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA '24), ACM (2024)
CLARA: Classifying and Disambiguating User Commands for Reliable Interactive Robotic Agents
Jeongeun Park
Seungwon Lim
Joonhyung Lee
Sangbeom Park
Sungjoon Choi
Youngjae Yu
IEEE Robotics and Automation Letters (2023) (to appear)
The Prompt Artists
Stefania Druga
Alex Fiannaca
Pedro Vergani
Chinmay Kulkarni
Creativity and Cognition 2023 (2023)
Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance
Jesse Zhang
Jiahui Zhang
Karl Pertsch
Ziyi Liu
Xiang Ren
Shao-Hua Sun
Joseph Lim
Conference on Robot Learning 2023 (2023)
