March 5, 2024, 2:52 p.m. | Fiona Anting Tan, Gerard Christopher Yeo, Fanyou Wu, Weijie Xu, Vinija Jain, Aman Chadha, Kokil Jaidka, Yang Liu, See-Kiong Ng

cs.CL updates on arXiv.org arxiv.org

arXiv:2403.02246v1 Announce Type: new
Abstract: Recent advances in large language models (LLMs) demonstrate that their capabilities are comparable, or even superior, to humans in many tasks in natural language processing. Despite this progress, LLMs are still inadequate at social-cognitive reasoning, which humans are naturally good at. Drawing inspiration from psychological research on the links between certain personality traits and Theory-of-Mind (ToM) reasoning, and from prompt engineering research on the hyper-sensitivity of prompts in affecting LLMs capabilities, this study investigates how …

abstract advances arxiv capabilities cognitive cs.cl good humans inspiration language language models language processing large language large language models llms mind natural natural language natural language processing personality processing progress reasoning social tasks theory type

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