Publications

Does Domain-Specific Retrieval-Augmented Generation Help LLMs Answer Consumer Health Questions?
Chase Fensore, Rodrigo M. Carrillo-Larco, Megha Shah, Joyce C. Ho
Proceedings of MLHC, 2025.
PaperCode

LLMs as Medical Safety Judges: Evaluating Alignment with Human Annotation in Patient-Facing QA
Yella Diekmann, Chase Fensore, Rodrigo M. Carrillo-Larco, Eduard Castejon Rosales, Sakshi Shiromani, Rima Pai, Megha K. Shah, Joyce C. Ho
Proceedings of the 24th Workshop on Biomedical Language Processing @ ACL 2025.
PaperCode

Evaluating Safety of Large Language Models for Patient-Facing Medical Question Answering
Yella Diekmann, Chase Fensore, Rodrigo M. Carrillo-Larco, Nishant Pradhan, Bhavya Appana, Joyce C. Ho
Proceedings of ML4H, 2024.
PaperCode

Evaluating Hybrid Retrieval Augmented Generation using Dynamic Test Sets: LiveRAG Challenge
Chase Fensore*, Kaustubh Dhole*, Joyce C. Ho, Eugene Agichtein
LiveRAG Workshop @ SIGIR 2025.
Paper

How Fine-Grained Should a RAG Benchmark Be? A Hierarchical Framework for Synthetic Question Generation
Chase M Fensore, Kaustubh Dhole, Jason Fan, Eugene Agichtein, Joyce C Ho
Proceedings of SIGIR, 2026.
PaperCode

Persona-Guided LLM Adaptation for Culturally Personalized Diabetes Prevention MCQs
Jason Fan, Chase M Fensore, Jacob Shtulman, Rima Pai, Dewan Muhammad Shoaib, Megha Shah, Joyce C Ho
Proceedings of IEEE ICHI, 2026.
Paper