April 3, 2024, 4:43 a.m. | Nikita Soni, H. Andrew Schwartz, Jo\~ao Sedoc, Niranjan Balasubramanian

cs.LG updates on arXiv.org arxiv.org

arXiv:2312.07751v2 Announce Type: replace-cross
Abstract: As research in human-centered NLP advances, there is a growing recognition of the importance of incorporating human and social factors into NLP models. At the same time, our NLP systems have become heavily reliant on LLMs, most of which do not model authors. To build NLP systems that can truly understand human language, we must better integrate human contexts into LLMs. This brings to the fore a range of design considerations and challenges in terms …

abstract advances arxiv authors become build challenges cs.ai cs.cl cs.lg human importance language language models llms nlp nlp models nlp systems recognition research social systems type

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