Evaluating and improving the robustness of security attack detectors generated by LLMs
Sign Up to like & getrecommendations! Published in 2024 at "Empirical Software Engineering"
DOI: 10.1007/s10664-025-10743-w
Abstract: Large Language Models (LLMs) are increasingly used in software development to generate functions, such as attack detectors, that implement security requirements. A key challenge is ensuring the LLMs have enough knowledge to address specific security… read more here.
Keywords: attack detectors; self ranking; improving robustness; evaluating improving ... See more keywords
Evaluating and improving the predictive accuracy of mixing enthalpies and volumes in disordered alloys from universal pretrained machine learning potentials
Sign Up to like & getrecommendations! Published in 2024 at "Physical Review Materials"
DOI: 10.1103/physrevmaterials.8.113803
Abstract: The advent of machine learning in materials science opens the way for exciting and ambitious simulations of large systems and long time scales with the accuracy of calculations. Recently, several pretrained universal machine learned interatomic… read more here.
Keywords: enthalpies volumes; mixing enthalpies; machine learning; machine ... See more keywords
Evaluating and Improving NWP Forecast Models for the Future: How the Needs of Offshore Wind Energy Can Point the Way
Sign Up to like & getrecommendations! Published in 2017 at "Bulletin of the American Meteorological Society"
DOI: 10.1175/bams-d-16-0310.1
Abstract: AbstractTo advance the understanding of meteorological processes in offshore coastal regions, the spatial variability of wind profiles must be characterized and uncertainties (errors) in NWP model wind forecasts quantified. These gaps are especially critical for… read more here.
Keywords: wind; offshore wind; wind energy; forecast ... See more keywords
Evaluating and improving the representation of bacterial contents in long-read metagenome assemblies
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DOI: 10.1186/s13059-024-03234-6
Abstract: In the metagenomic assembly of a microbial community, abundant species are often thought to assemble well given their deeper sequencing coverage. This conjuncture is rarely tested or evaluated in practice. We often do not know… read more here.
Keywords: metagenome; representation bacterial; improving representation; evaluating improving ... See more keywords