April 5, 2024, 4:47 a.m. | Ankan Mullick, Mukur Gupta, Pawan Goyal

cs.CL updates on arXiv.org arxiv.org

arXiv:2404.03598v1 Announce Type: new
Abstract: Biomedical queries have become increasingly prevalent in web searches, reflecting the growing interest in accessing biomedical literature. Despite recent research on large-language models (LLMs) motivated by endeavours to attain generalized intelligence, their efficacy in replacing task and domain-specific natural language understanding approaches remains questionable. In this paper, we address this question by conducting a comprehensive empirical evaluation of intent detection and named entity recognition (NER) tasks from biomedical text. We show that Supervised Fine Tuned …

abstract arxiv become biomedical cs.cl detection domain extraction generalized intelligence intent detection language language models language understanding literature llms natural natural language paper queries research type understanding web

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