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This empirical study serves as a primer for interested service providers to determine if and how Large Language Models (LLMs) technology will be integrated for their practitioners and the broader community.
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Will Affective Computing Emerge From Foundation Models and General Artificial Intelligence? A First Evaluation of ChatGPT
Mostafa M Amin, Erik Cambria, and Björn W Schuller. 2023 · 2023
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Evaluating the feasibility of ChatGPT in healthcare: an analysis of multiple clinical and research scenarios
Marco Cascella, Jonathan Montomoli, Valentina Bellini, and Elena Bignami. 2023 · 2023
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A survey on evaluation of large language models
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RaLLe: A Framework for Developing and Evaluating Retrieval-Augmented Large Language Models
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FIGHTING FALSE INFORMATION-DESIGNING A CONVERSATIONAL AGENT FOR PUBLIC SECTOR ORGANIZATIONS
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Theory of mind may have spontaneously emerged in large language models
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AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap
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Agentbench: Evaluating llms as agents
Xiao Liu, Hao Yu, Hanchen Zhang, Yifan Xu, Xuanyu Lei, Hanyu Lai, Yu Gu, Hangliang Ding, Kaiwen Men, Kejuan Yang, et al · 2023
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