Showing cs.AIShow all
2 papers · 1 filter
cs.AI2026
Towards end-to-end LLM-based censoring-aware survival analysis
Yishu Wei, Hexin Dong, Yi Lin +3
Objective: Survival analysis is central to medical prediction, yet large language models (LLMs) are rarely used as end-to-end survival models because censoring prevents straightfor…
cs.AI2026
Reinforcement Learning Improves LLM Accuracy and Reasoning in Disease Classification from Radiology Reports
Yishu Wei, Yi Lin, Adam Flanders +2
Accurate disease classification from radiology reports is essential for many applications. While supervised fine-tuning (SFT) of lightweight LLMs improves accuracy, it can degrade…