Showing cs.CLShow all
2 papers · 1 filter
cs.CL2026
Conformal Factuality Control for Multi-Hop Retrieval-Augmented Generation
Muhammad Aimal Rehman, Chi-Kuang Yeh
Retrieval-augmented generation (RAG) can ground large language models in external evidence, but retrieved context does not guarantee that generated claims are factually supported.…
cs.CL2026
Patients-like-me: A Variational LM--GNN Framework for Explainable Clinical Prediction
Xinyu Wang, Yixuan Li, Hanwei Wu +4
Language models (LMs) offer strong textual representations for electronic health records (EHRs), but they encode patient sequences in isolation and provide limited explainability.…