April 24, 2024, 4:48 a.m. | Mohamed Nejjar, Luca Zacharias, Fabian Stiehle, Ingo Weber

cs.CL updates on arXiv.org arxiv.org

arXiv:2311.16733v4 Announce Type: replace-cross
Abstract: Large language models (LLMs) have been touted to enable increased productivity in many areas of today's work life. Scientific research as an area of work is no exception: the potential of LLM-based tools to assist in the daily work of scientists has become a highly discussed topic across disciplines. However, we are only at the very onset of this subject of study. It is still unclear how the potential of LLMs will materialise in research …

abstract analysis arxiv become code code generation cs.ai cs.cl cs.se daily data data analysis exception language language models large language large language models life llm llms productivity research science scientific scientific research scientists tools type usage work

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