2 papers
cs.CL2026
Toward Federated Large Language Models in Medicine: A Parameter-Efficient Framework for Privacy-Preserving, Multi-Institutional Adaptation
Anran Li, Yuanyuan Chen, Wenjun Long +16
Large language models (LLMs) are increasingly adapted for medical applications, but most are trained using data from a single institution because privacy and governance constraints…
cs.CL2026
ctELM: Decoding and Manipulating Embeddings of Clinical Trials with Embedding Language Models
Brian Ondov, Chia-Hsuan Chang, Yujia Zhou +2
Text embeddings have become an essential part of a variety of language applications. However, methods for interpreting, exploring and reversing embedding spaces are limited, reduci…