activity
20242026
most citedDemographic Bias of Expert-Level Vision-Language Foundation Models in Medical Imaging

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2026★ 1 cited

DECKBench: Benchmarking Multi-Agent Frameworks for Academic Slide Generation and Editing

Daesik Jang, Morgan Lindsay Heisler, Linzi Xing +5

Automatically generating and iteratively editing academic slide decks requires more than document summarization. It demands faithful content selection, coherent slide organization,…

cs.AI2025

Multi-agent Self-triage System with Medical Flowcharts

Yujia Liu, Sophia Yu, Hongyue Jin +8

Online health resources and large language models (LLMs) are increasingly used as a first point of contact for medical decision-making, yet their reliability in healthcare remains…

cs.CL2025

Gaussian mixture models as a proxy for interacting language models

Edward L. Wang, Mohammad Sharifi Kiasari, Tianyu Wang +4

Large language models (LLMs) are powerful tools that, in a number of settings, overlap with the results of human pattern recognition and reasoning. Retrieval-augmented generation (…

physics.ed-ph2024

Using Peer-Customers to Scalably Pair Student Teams with Customers for Hands-on Curriculum Final Projects

Edward Jay Wang

Peer-customer is a mechanism to pair student teams with customers in hands-on curriculum courses. Each student pitches a problem they want someone else in the class to solve for th…

cs.CY2024★ 2 cited

Demographic Bias of Expert-Level Vision-Language Foundation Models in Medical Imaging

Yuzhe Yang, Yujia Liu, Xin Liu +6

Advances in artificial intelligence (AI) have achieved expert-level performance in medical imaging applications. Notably, self-supervised vision-language foundation models can dete…