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Do LLMs Find Human Answers To Fact-Driven Questions Perplexing? A Case Study on Reddit
April 2, 2024, 7:43 p.m. | Parker Seegmiller, Joseph Gatto, Omar Sharif, Madhusudan Basak, Sarah Masud Preum
cs.LG updates on arXiv.org arxiv.org
Abstract: Large language models (LLMs) have been shown to be proficient in correctly answering questions in the context of online discourse. However, the study of using LLMs to model human-like answers to fact-driven social media questions is still under-explored. In this work, we investigate how LLMs model the wide variety of human answers to fact-driven questions posed on several topic-specific Reddit communities, or subreddits. We collect and release a dataset of 409 fact-driven questions and 7,534 …
abstract arxiv case case study context cs.cl cs.lg discourse however human human-like language language models large language large language models llms media questions reddit social social media study type work
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