15 citations · 61 across the 19 of their papers we have counts for
4 papers · 1 filter
Conditional Accuracy Profiles: Diagnosing LLM Judges across Deployment Conditions
Wenqi Li, Bin Liu, Mindi Ruan +3
LLM-as-judge is now a standard tool for scalable evaluation, but judge performance is still often summarized by a single accuracy number. This aggregate view hides the deployment c…
Multimodal Federated Learning in Healthcare: a Review
Jacob Thrasher, Alina Devkota, Prasiddha Siwakotai +5
Recent advancements in multimodal machine learning have empowered the development of accurate and robust AI systems in the medical domain, especially within centralized database sy…
Detection of Illicit Drug Trafficking Events on Instagram: A Deep Multimodal Multilabel Learning Approach
Chuanbo Hu, Minglei Yin, Bin Liu +2
Social media such as Instagram and Twitter have become important platforms for marketing and selling illicit drugs. Detection of online illicit drug trafficking has become critical…
Identifying Illicit Drug Dealers on Instagram with Large-scale Multimodal Data Fusion
Chuanbo Hu, Minglei Yin, Bin Liu +2
Illicit drug trafficking via social media sites such as Instagram has become a severe problem, thus drawing a great deal of attention from law enforcement and public health agencie…