photo taken by Ruizhi Liao

Peiqi Wang I am a Ph.D. student at MIT CSAIL. I work in the Medical Vision Group, advised by Polina Golland. I am interested in problems in medical vision and machine learning in healthcare, and more recently, in large language models. I interned at Deep Genomics, MIT-IBM Watson AI Lab, and Meta. Previously, I completed my B.S. in Computer Science at University of Toronto, where I worked on a few projects with Kyros Kutulakos, Kenneth Jackson. [ CV  |  Google Scholar  |  GitHub  |  LinkedIn  |  Twitter ]

Inference Compute-Optimal Video Vision Language Models
Peiqi Wang, ShengYun Peng, Xuewen Zhang, Hanchao Yu, Yibo Yang, Lifu Huang, Fujun Liu, Qifan Wang
under review for ACL 2025
[ paper ]

Calibrating Expressions of Certainty
Peiqi Wang, Barbara D. Lam, Yingcheng Liu, Ameneh Asgari-Targhi, Rameswar Panda, William M. Wells, Tina Kapur, Polina Golland
under review for ICLR 2025
[ arXiv  |  OpenReview ]

Diversity Measurement and Subset Selection for Instruction Tuning Datasets
Peiqi Wang, Yikang Shen, Zhen Guo, Matthew Stallone, Yoon Kim, Polina Golland, Rameswar Panda
arXiv, 2024
[ arXiv ]

Sample-Specific Debiasing for Better Image-Text Models
Peiqi Wang, Yingcheng Liu, Ching-Yun Ko, William M Wells, Seth Berkowitz, Steven Horng, Polina Golland
Machine Learning for Healthcare Conference (MLHC), 2023
[ arXiv  |  Paper  |  Poster ]

Using Multiple Instance Learning to Build Multimodal Representations
Peiqi Wang, William M. Wells, Seth Berkowitz, Steven Horng, and Polina Golland
Information Processing in Medical Imaging (IPMI), 2023
[ arXiv  |  Paper  |  Poster ]