74 citations · 95 across the 7 of their papers we have counts for
7 papers
The Llama 4 Herd: Architecture, Training, Evaluation, and Deployment Notes
Redacted by arXiv
This document consolidates publicly reported technical details about Metas Llama 4 model family. It summarizes (i) released variants (Scout and Maverick) and the broader herd conte…
XAIR: A Framework of Explainable AI in Augmented Reality
Xuhai Xu, Mengjie Yu, Tanya R. Jonker +15
Explainable AI (XAI) has established itself as an important component of AI-driven interactive systems. With Augmented Reality (AR) becoming more integrated in daily lives, the rol…
Bias Mitigation Framework for Intersectional Subgroups in Neural Networks
Narine Kokhlikyan, Bilal Alsallakh, Fulton Wang +3
We propose a fairness-aware learning framework that mitigates intersectional subgroup bias associated with protected attributes. Prior research has primarily focused on mitigating…
Extreme Dimension Reduction for Handling Covariate Shift
Fulton Wang, Cynthia Rudin
In the covariate shift learning scenario, the training and test covariate distributions differ, so that a predictor's average loss over the training and test distributions also dif…
Causal Falling Rule Lists
Fulton Wang, Cynthia Rudin
A causal falling rule list (CFRL) is a sequence of if-then rules that specifies heterogeneous treatment effects, where (i) the order of rules determines the treatment effect subgro…
Modeling Recovery Curves With Application to Prostatectomy
Fulton Wang, Tyler H. McCormick, Cynthia Rudin +1
We propose a Bayesian model that predicts recovery curves based on information available before the disruptive event. A recovery curve of interest is the quantified sexual function…
Falling Rule Lists
Fulton Wang, Cynthia Rudin
Falling rule lists are classification models consisting of an ordered list of if-then rules, where (i) the order of rules determines which example should be classified by each rule…