2 citations · 5 across the 7 of their papers we have counts for
6 papers · 1 filter
VERA: A Responsible AI Dashboard for Assessing LLM Deployments in Light of the EU AI Act
Robin Quériaux, Solveig Bachellery, Léa Déléris +4
Institutions that deploy large language models in regulated settings often need technical evidence of responsible AI practices before approving a deployment. COMPL-AI provides a te…
FlipFlop: A Static Analysis-based Energy Optimization Framework for GPU Kernels
Saurabhsingh Rajput, Alexander Brandt, Vadim Elisseev +1
Artificial Intelligence (AI) applications, such as Large Language Models, are primarily driven and executed by Graphics Processing Units (GPUs). These GPU programs (kernels) consum…
Smart but Costly? Benchmarking LLMs on Functional Accuracy and Energy Efficiency
Mohammadjavad Mehditabar, Saurabhsingh Rajput, Antonio Mastropaolo +1
The rapid advancement of AI technologies and their accelerated adoption in software development necessitates a systematic evaluation of their environmental impact alongside functio…
TS-Detector : Detecting Feature Toggle Usage Patterns
Tajmilur Rahman, Mengzhe Fei, Tushar Sharma +1
Feature toggles enable developers to control feature states, allowing the features to be released to a limited group of users while preserving overall software functionality. The a…
Broken Windows: Exploring the Applicability of a Controversial Theory on Code Quality
Diomidis Spinellis, Panos Louridas, Maria Kechagia +1
Is the quality of existing code correlated with the quality of subsequent changes? According to the (controversial) broken windows theory, which inspired this study, disorder sets…
COMET: Generating Commit Messages using Delta Graph Context Representation
Abhinav Reddy Mandli, Saurabhsingh Rajput, Tushar Sharma
Commit messages explain code changes in a commit and facilitate collaboration among developers. Several commit message generation approaches have been proposed; however, they exhib…