all AI news
Multi-Level Feedback Generation with Large Language Models for Empowering Novice Peer Counselors
March 26, 2024, 4:42 a.m. | Alicja Chaszczewicz, Raj Sanjay Shah, Ryan Louie, Bruce A Arnow, Robert Kraut, Diyi Yang
cs.LG updates on arXiv.org arxiv.org
Abstract: Realistic practice and tailored feedback are key processes for training peer counselors with clinical skills. However, existing mechanisms of providing feedback largely rely on human supervision. Peer counselors often lack mechanisms to receive detailed feedback from experienced mentors, making it difficult for them to support the large number of people with mental health issues who use peer counseling. Our work aims to leverage large language models to provide contextualized and multi-level feedback to empower peer …
abstract arxiv clinical cs.cl cs.lg feedback however human key language language models large language large language models making peer practice processes skills supervision them training type
More from arxiv.org / cs.LG updates on arXiv.org
The Perception-Robustness Tradeoff in Deterministic Image Restoration
1 day, 21 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US
AI Research Scientist
@ Vara | Berlin, Germany and Remote
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne