March 28, 2024, 4:48 a.m. | Evan Lucas, Kelly S. Steelman, Leo C. Ureel, Charles Wallace

cs.CL updates on arXiv.org arxiv.org

arXiv:2403.18125v1 Announce Type: new
Abstract: While the rise of large language models (LLMs) has created rich new opportunities to learn about digital technology, many on the margins of this technology struggle to gain and maintain competency due to lexical or conceptual barriers that prevent them from asking appropriate questions. Although there have been many efforts to understand factuality of LLM-created content and ability of LLMs to answer questions, it is not well understood how unclear or nonstandard language queries affect …

abstract arxiv building cs.cl dataset digital digital technology language language models large language large language models learn llms margins opportunities questions struggle technology type

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