Exploring the Efficacy of Large Language Models in Summarizing Mental Health Counseling Sessions: A Benchmark Study

29 February 2024

Papers citing "Exploring the Efficacy of Large Language Models in Summarizing Mental Health Counseling Sessions: A Benchmark Study"

6 / 6 papers shown

Title
Exploring Optimal Granularity for Extractive Summarization of Unstructured Health Records: Analysis of the Largest Multi-Institutional Archive of Health Records in Japan Kenichiro Ando T. Okumura Mamoru Komachi Hiromasa Horiguchi Yuji Matsumoto 22 7 0 20 Sep 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 301 11,730 0 04 Mar 2022
Leveraging Pretrained Models for Automatic Summarization of Doctor-Patient Conversations Longxiang Zhang Renato M. P. Negrinho Arindam Ghosh V. Jagannathan H. Hassanzadeh Thomas Schaaf Matthew R. Gormley LM&MA AI4MH 57 65 0 24 Sep 2021
Medically Aware GPT-3 as a Data Generator for Medical Dialogue Summarization Bharath Chintagunta Namit Katariya X. Amatriain Anitha Kannan LM&MA MedIm 117 145 0 09 Sep 2021
Towards Clinical Encounter Summarization: Learning to Compose Discharge Summaries from Prior Notes Han-Chin Shing Chaitanya P. Shivade Nima Pourdamghani Feng Nan Philip Resnik Douglas W. Oard Parminder Bhatia 36 24 0 27 Apr 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling Leo Gao Stella Biderman Sid Black Laurence Golding Travis Hoppe ... Horace He Anish Thite Noa Nabeshima Shawn Presser Connor Leahy AIMat 236 1,508 0 31 Dec 2020