Polaris: A Safety-focused LLM Constellation for Healthcare

The Polaris dataset is a collection of conversations between a patient and a healthcare agent, with the goal of developing a safety-focused Large Language Model (LLM) constellation for real-time patient-AI healthcare conversations.

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Cite this as

Subhabrata Mukherjee, Paul Gamble, Markel Sanz Ausin, Neel Kant, Zhengliang Liu, Swapnil Sharma, Kriti Aggarwal, Jiayuan Ding, Rae Lasko, Darya Filippova, Meyhaa Buvanesh, Harpreet Singh Mangat, Gerry Meixiong, Kevin Cha, Howard Weingram, Neha Manjunath, Sophia Busacca, Michelle Voisard, Debajyoti Datta, Cezanne Bianco, Sanchay Harneja, Amir Youssefi, Sebastian Bierman-Lytle, Alex Miller, Saad Godil, Kim Parikh (2024). Dataset: Polaris: A Safety-focused LLM Constellation for Healthcare. https://doi.org/10.57702/velthx3y

DOI retrieved: December 16, 2024

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2403.13313
Author Subhabrata Mukherjee
More Authors
Paul Gamble
Markel Sanz Ausin
Neel Kant
Zhengliang Liu
Swapnil Sharma
Kriti Aggarwal
Jiayuan Ding
Rae Lasko
Darya Filippova
Meyhaa Buvanesh
Harpreet Singh Mangat
Gerry Meixiong
Kevin Cha
Howard Weingram
Neha Manjunath
Sophia Busacca
Michelle Voisard
Debajyoti Datta
Cezanne Bianco
Sanchay Harneja
Amir Youssefi
Sebastian Bierman-Lytle
Alex Miller
Saad Godil
Kim Parikh
Homepage https://arxiv.org/abs/2303.08774