9 papers
Supporting Workflow Reproducibility by Linking Bioinformatics Tools across Papers and Executable Code
Clémence Sebe, Clémence Sebe, Olivier Ferret +5
Motivation: The rapid growth of biological data has intensified the need for transparent, reproducible, and well-documented computational workflows. The ability to clearly connect…
The Rising Unsustainability of AI Graphics Cards Production
Clément Morand, Aurélie Névéol, Anne-Laure Ligozat
The rapid advancement of Artificial Intelligence (AI) has been accompanied by significant increases in computational and environmental costs, driven by large-scale investments in A…
PARHAF, a human-authored corpus of clinical reports for fictitious patients in French
Xavier Tannier, Salam Abbara, Rémi Flicoteaux +4
The development of clinical natural language processing (NLP) systems is severely hampered by the sensitive nature of medical records, which restricts data sharing under stringent…
Life Cycle-Aware Evaluation of Knowledge Distillation for Machine Translation: Environmental Impact and Translation Quality Trade-offs
Joseph Attieh, Timothee Mickus, Anne-Laure Ligozat +2
Knowledge distillation (KD) is a tool to compress a larger system (teacher) into a smaller one (student). In machine translation, studies typically report only the translation qual…
The Environmental Impacts of Machine Learning Training Keep Rising Evidencing Rebound Effect
Clément Morand, Anne-Laure Ligozat, Aurélie Névéol
Recent Machine Learning (ML) approaches have shown increased performance on benchmarks but at the cost of escalating computational demands. Hardware, algorithmic and carbon optimiz…
Extracting Information in a Low-resource Setting: Case Study on Bioinformatics Workflows
Clémence Sebe, Clémence Sebe, Sarah Cohen-Boulakia +3
Bioinformatics workflows are essential for complex biological data analyses and are often described in scientific articles with source code in public repositories. Extracting detai…