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TriviaHG: A Dataset for Automatic Hint Generation from Factoid Questions
March 28, 2024, 4:48 a.m. | Jamshid Mozafari, Anubhav Jangra, Adam Jatowt
cs.CL updates on arXiv.org arxiv.org
Abstract: Nowadays, individuals tend to engage in dialogues with Large Language Models, seeking answers to their questions. In times when such answers are readily accessible to anyone, the stimulation and preservation of human's cognitive abilities, as well as the assurance of maintaining good reasoning skills by humans becomes crucial. This study addresses such needs by proposing hints (instead of final answers or before giving answers) as a viable solution. We introduce a framework for the automatic …
abstract arxiv cognitive cs.cl dataset good human language language models large language large language models preservation questions reasoning skills type
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