Papers with expert-based evaluation

2 papers
An Empirical Study of Clinical Note Generation from Doctor-Patient Encounters (2023.eacl-main)

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Challenge: Medical doctors spend 52 to 102 minutes per day writing clinical notes from patient encounters.
Approach: They propose to use a new dataset to generate automated and manual clinical notes from doctor-patient conversations in a clinical setting.
Outcome: The proposed model could reduce the time spent writing clinical notes from doctor-patient conversations in a clinical setting.
Large Language Models for Automated Open-domain Scientific Hypotheses Discovery (2024.findings-acl)

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Challenge: Existing research on hypothetical induction is limited by the observation annotations in the dataset and the ground truth hypotheses are mostly commonsense knowledge.
Approach: They propose a first dataset for social science academic hypotheses discovery using raw web corpus as observations and propose valid, useful scientific hypothese . they propose 'a multi-module framework' that includes feedback mechanisms to boost performance.
Outcome: The proposed dataset generates valid, novel, and helpful scientific hypotheses, even new to humanity, using open-domain data and a web corpus as observations.

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