MDAgents: An Adaptive Collaboration of LLMs for Medical Decision-Making. - Yubin Kim 002; Chanwoo Park; Hyewon Jeong; Yik Siu Chan; Xuhai Xu; Daniel McDuff; Hyeonhoon Lee; Marzyeh Ghassemi; Cynthia Breazeal; Hae Won Park 001 (NeurIPS, 2024)

Adaptive Collaboration Strategy for LLMs in Medical Decision Making. - Yubin Kim 002; Chanwoo Park; Hyewon Jeong; Yik Siu Chan; Xuhai Xu; Daniel McDuff; Cynthia Breazeal; Hae Won Park 001 (CoRR, 2024)

A Demonstration of Adaptive Collaboration of Large Language Models for Medical Decision-Making. - Yubin Kim 002; Chanwoo Park; Hyewon Jeong; Cristina Grau-Vilchez; Yik Siu Chan; Xuhai Xu; Daniel McDuff; Hyeonhoon Lee; Cynthia Breazeal; Hae Won Park 001 (CoRR, 2024)

Speak Easy: Eliciting Harmful Jailbreaks from LLMs with Simple Interactions. - Yik Siu Chan; Narutatsu Ri; Yuxin Xiao; Marzyeh Ghassemi (CoRR, 2025)

MIB: A Mechanistic Interpretability Benchmark. - Aaron Mueller; Atticus Geiger; Sarah Wiegreffe; Dana Arad; Iván Arcuschin; Adam Belfki; Yik Siu Chan; Jaden Fiotto-Kaufman; Tal Haklay; Michael Hanna 001; Jing Huang; Rohan Gupta; et al. (CoRR, 2025)

Can We Predict Alignment Before Models Finish Thinking? Towards Monitoring Misaligned Reasoning Models. - Yik Siu Chan; Zheng-Xin Yong; Stephen H. Bach (CoRR, 2025)