Professional Medicine
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Scaling Language Models: Methods, Analysis & Insights from Training Gopher
2021-12-08 · 구현 3개
Papers
LMILAtt: A Deep Learning Model for Depression Detection from Social Media Users Enhanced by Multi-Instance Learning Based on Attention Mechanism
2025-09-30
· Yukun Yang
arxiv
Depression is a major global public health challenge and its early identification is crucial. Social media data provides a new perspective for depression detection, but existing methods face limitations such as insuffici…
Professional MedicineOpenMedCalc: Augmentation of ChatGPT with Clinician-Informed Tools Improves Performance on Medical Calculation Tasks
2023-12-15 · medRxiv 2023 12
· Alex J Goodell, Simon N Chu, Dara Rouholiman, Larry F Chu
Prior work has shown that large language models (LLMs) have the ability to answer expert-level multiple choice questions in medicine, but are limited by both their tendency to hallucinate knowledge and their inherent ina…
Clinical Information RetreivalClinical Language TranslationMedical DiagnosisProfessional MedicineScaling Language Models: Methods, Analysis & Insights from Training Gopher
2021-12-08 · NA 2021 12
· Jack W. Rae, Sebastian Borgeaud, Trevor Cai, Katie Millican 외
Language modelling provides a step towards intelligent communication systems by harnessing large repositories of written human knowledge to better predict and understand the world. In this paper, we present an analysis o…
Abstract AlgebraAnachronismsAnalogical SimilarityAnalytic Entailment+143