2 papers
stat.ME2025
Causal Inference in Counterbalanced Within-Subjects Designs
Justin Ho, Jonathan Min
Experimental designs are fundamental for estimating causal effects. In some fields, within-subjects designs, which expose participants to both control and treatment at different ti…
cs.CL2025
Incorporating Legal Structure in Retrieval-Augmented Generation: A Case Study on Copyright Fair Use
Justin Ho, Alexandra Colby, William Fisher
This paper presents a domain-specific implementation of Retrieval-Augmented Generation (RAG) tailored to the Fair Use Doctrine in U.S. copyright law. Motivated by the increasing pr…