all AI news
Large Language Models Produce Responses Perceived to be Empathic
March 28, 2024, 4:48 a.m. | Yoon Kyung Lee, Jina Suh, Hongli Zhan, Junyi Jessy Li, Desmond C. Ong
cs.CL updates on arXiv.org arxiv.org
Abstract: Large Language Models (LLMs) have demonstrated surprising performance on many tasks, including writing supportive messages that display empathy. Here, we had these models generate empathic messages in response to posts describing common life experiences, such as workplace situations, parenting, relationships, and other anxiety- and anger-eliciting situations. Across two studies (N=192, 202), we showed human raters a variety of responses written by several models (GPT4 Turbo, Llama2, and Mistral), and had people rate these responses on …
abstract anxiety arxiv cs.ai cs.cl empathy generate language language models large language large language models life llms messages parenting performance relationships responses tasks type workplace writing
More from arxiv.org / cs.CL updates on arXiv.org
Benchmarking LLMs via Uncertainty Quantification
2 days, 9 hours ago |
arxiv.org
CARE: Extracting Experimental Findings From Clinical Literature
2 days, 9 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
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
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Field Sample Specialist (Air Sampling) - Eurofins Environment Testing – Pueblo, CO
@ Eurofins | Pueblo, CO, United States
Camera Perception Engineer
@ Meta | Sunnyvale, CA