Search Results for author: Rosiane de Freitas

Found 2 papers, 0 papers with code

Tasks People Prompt: A Taxonomy of LLM Downstream Tasks in Software Verification and Falsification Approaches

no code implementations14 Apr 2024 Víctor A. Braberman, Flavia Bonomo-Braberman, Yiannis Charalambous, Juan G. Colonna, Lucas C. Cordeiro, Rosiane de Freitas

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].

Fault localization In-Context Learning +2

Empirical Evaluation of Project Scheduling Algorithms for Maximization of the Net Present Value

no code implementations5 Jul 2022 Isac M. Lacerda, Eber A. Schmitz, Jayme L. Szwarcfiter, Rosiane de Freitas

This paper presents an empirical performance analysis of three project scheduling algorithms dealing with maximizing projects' net present value with unrestricted resources.

Scheduling

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