Jun 10, 2024 · We introduce a novel dataset for medical triage decision-making, labeled with a set of decision-maker attributes (DMAs).

Language Models are Alignable Decision-Makers: Dataset and Application to the Medical Triage Domain. In Proceedings of the 2024 Conference of the North American ...

Jun 10, 2024 · This paper explores the use of large language models (LLMs) as alignable decision-makers in the medical triage domain. The researchers developed ...

Jul 30, 2024 · To precisely model the relation between symptoms and prescriptions, inspired by the success of pre-trained language models, we propose a TCM ...

Language Models are Alignable Decision-Makers: Dataset and Application to the Medical Triage Domain. Brian Hu | Bill Ray | Alice Leung | Amy Summerville ...

Language Models are Alignable Decision-Makers: Dataset and Application to the Medical Triage Domain ... Such decisions may be guided by different attributes that ...

Language Models are Alignable Decision-Makers: Dataset and Application to the Medical Triage Domain. Christopher Funk, Arslan Basharat, Brian Hu, Alice Leung ...

Accepted Industry Track Paper: HPipe: Large Language Model Pipeline Parallelism for Long Context on Heterogeneous Cost-effective Devices.

Jun 14, 2024 · Poster Session. Language Models are Alignable Decision-Makers: Dataset and Application to the Medical Triage Domain Tuesday, June 18 from 3 ...

Language Models are Alignable Decision-Makers: Dataset and Application to the Medical Triage Domain. B Hu, B Ray, A Leung, A Summerville, D Joy, C Funk, A ...