5 citations · 9 across the 4 of their papers we have counts for
Showing cs.CLShow all
2 papers · 1 filter
cs.CL2024
Uncertainty Quantification for Clinical Outcome Predictions with (Large) Language Models
Zizhang Chen, Peizhao Li, Xiaomeng Dong +1
To facilitate healthcare delivery, language models (LMs) have significant potential for clinical prediction tasks using electronic health records (EHRs). However, in these high-sta…
cs.CL2024
Question Rephrasing for Quantifying Uncertainty in Large Language Models: Applications in Molecular Chemistry Tasks
Zizhang Chen, Pengyu Hong, Sandeep Madireddy
Uncertainty quantification enables users to assess the reliability of responses generated by large language models (LLMs). We present a novel Question Rephrasing technique to evalu…