Document Type
Presentation
Publication Date
2024
Keywords
Artificial Intelligence
Disciplines
Artificial Intelligence and Robotics
Abstract
While AI “hallucinations” have been widely publicized by the media as shortcomings of Large Language Models (LLMs), there is much less awareness about shortcomings that derive from the potential lack of understanding of the world, from a potential lack of commonsense knowledge. We want to raise awareness among our student body about the potential fallibility of LLMs when they the problems that they need to solve require a basic understanding of the world. We hope that this awareness will prompt everyone to question more carefully the outputs generated by LLMs.
Recommended Citation
Lin, Chengtaon; Lobo, Joseph; Nguyen, HuuThanhVy; Santos, Brian; and Xu, Ting, "HACK24F: LLMs and World Knowledge Problems" (2024). Paul English Applied Artificial Intelligence (AI) Institute Publications. 10.
https://scholarworks.umb.edu/ai_pubs/10
Comments
Free and open access to this Campus Access Thesis is made available to the UMass Boston community by ScholarWorks at UMass Boston. Those not on campus and those without a UMass Boston campus username and password may gain access to this thesis through Interlibrary Loan. If you have a UMass Boston campus username and password and would like to download this work from off-campus, click on the “Off-Campus Users” button.