all AI news
"You tell me": A Dataset of GPT-4-Based Behaviour Change Support Conversations
April 4, 2024, 4:48 a.m. | Selina Meyer, David Elsweiler
cs.CL updates on arXiv.org arxiv.org
Abstract: Conversational agents are increasingly used to address emotional needs on top of information needs. One use case of increasing interest are counselling-style mental health and behaviour change interventions, with large language model (LLM)-based approaches becoming more popular. Research in this context so far has been largely system-focused, foregoing the aspect of user behaviour and the impact this can have on LLM-generated texts. To address this issue, we share a dataset containing text-based user interactions related …
abstract agents arxiv case change context conversational conversational agents conversations cs.cl cs.hc dataset gpt gpt-4 health information language language model large language large language model llm mental health popular research style support type
More from arxiv.org / cs.CL updates on 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
Data Scientist
@ Publicis Groupe | New York City, United States
Bigdata Cloud Developer - Spark - Assistant Manager
@ State Street | Hyderabad, India