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Hallucination Detection in Foundation Models for Decision-Making: A Flexible Definition and Review of the State of the Art
March 26, 2024, 4:51 a.m. | Neeloy Chakraborty, Melkior Ornik, Katherine Driggs-Campbell
cs.CL updates on arXiv.org arxiv.org
Abstract: Autonomous systems are soon to be ubiquitous, from manufacturing autonomy to agricultural field robots, and from health care assistants to the entertainment industry. The majority of these systems are developed with modular sub-components for decision-making, planning, and control that may be hand-engineered or learning-based. While these existing approaches have been shown to perform well under the situations they were specifically designed for, they can perform especially poorly in rare, out-of-distribution scenarios that will undoubtedly arise …
abstract art arxiv assistants autonomous autonomous systems autonomy components cs.ai cs.cl cs.ro decision definition detection entertainment entertainment industry foundation hallucination health health care industry making manufacturing modular planning review robots state state of the art systems type
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