June 7, 2024, 4:51 a.m. | Aswin RRV, Nemika Tyagi, Md Nayem Uddin, Neeraj Varshney, Chitta Baral

cs.CL updates on arXiv.org arxiv.org

arXiv:2406.03827v1 Announce Type: new
Abstract: This study explores the sycophantic tendencies of Large Language Models (LLMs), where these models tend to provide answers that match what users want to hear, even if they are not entirely correct. The motivation behind this exploration stems from the common behavior observed in individuals searching the internet for facts with partial or misleading knowledge. Similar to using web search engines, users may recall fragments of misleading keywords and submit them to an LLM, hoping …

abstract arxiv chaos cs.cl defense exploration keywords language language models large language large language models llms match motivation strategies study type

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