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Evaluating the Performance of LLMs on Technical Language Processing tasks
March 26, 2024, 4:50 a.m. | Andrew Kernycky, David Coleman, Christopher Spence, Udayan Das
cs.CL updates on arXiv.org arxiv.org
Abstract: In this paper we present the results of an evaluation study of the perfor-mance of LLMs on Technical Language Processing tasks. Humans are often confronted with tasks in which they have to gather information from dispar-ate sources and require making sense of large bodies of text. These tasks can be significantly complex for humans and often require deep study including rereading portions of a text. Towards simplifying the task of gathering in-formation we evaluated LLMs …
abstract arxiv cs.cl cs.ir evaluation gather humans information language language processing llms making paper performance processing results sense study tasks technical type
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