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Tasks People Prompt: A Taxonomy of LLM Downstream Tasks in Software Verification and Falsification Approaches
April 16, 2024, 4:43 a.m. | V\'ictor A. Braberman, Flavia Bonomo-Braberman, Yiannis Charalambous, Juan G. Colonna, Lucas C. Cordeiro, Rosiane de Freitas
cs.LG updates on arXiv.org arxiv.org
Abstract: Prompting has become one of the main approaches to leverage emergent capabilities of Large Language Models [Brown et al. NeurIPS 2020, Wei et al. TMLR 2022, Wei et al. NeurIPS 2022]. During the last year, researchers and practitioners have been playing with prompts to see how to make the most of LLMs. By homogeneously dissecting 80 papers, we investigate in deep how software testing and verification research communities have been abstractly architecting their LLM-enabled solutions. …
abstract arxiv become capabilities cs.ai cs.cl cs.lg cs.se language language models large language large language models llm neurips neurips 2022 people prompt prompting researchers software tasks taxonomy type verification
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