2 papers
cs.CL2026
Biomedical Reference Generation Remains Unreliable across 26 Large Language Models
Maxim Topaz, Zhihong Zhang, Nir Roguin +3
Background. Large language models are increasingly used to help write biomedical text but may fabricate references to nonexistent work. How often large language models do so is not…
cs.CL2025
UM_FHS at TREC 2024 PLABA: Exploration of Fine-tuning and AI agent approach for plain language adaptations of biomedical text
Primoz Kocbek, Leon Kopitar, Zhihong Zhang +3
This paper describes our submissions to the TREC 2024 PLABA track with the aim to simplify biomedical abstracts for a K8-level audience (13-14 years old students). We tested three…