Loubna Ben allal

4 papers · 2022–2025 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird 👥 Mega-Team · Legion

Venues

NeurIPS (3) EMNLP (1)

Top co-authors

Leandro Von Werra (3) Margaret Mitchell (2) Olivier Nguyen (1) Ian Yu (1) Binyuan Hui (1) Kyle Lo (1) Yacine Jernite (1) Alexander Hägele (1) Violette Lepercq (1) Thomas Wang (1)

Research topics

Machine Learning (3) Natural Language Processing (3) Resources & Methods (3) Deep Learning (2) Application Areas (2) Artificial Intelligence (1) Core AI (1) Generation (1) Learning Types (1) Models (1) Optimization & Theory · Machine Learning (1) Optimization & Theory · Deep Learning (1)

Keywords

large language model (2) language model training (1) code generation (1) responsible ai (1) learning rate (1) model training (1) language model (1) scaling law (1) stochastic weight averaging (1) model scaling (1) compute efficiency (1) software development (1) learning rate schedule (1) pretraining dataset (1) data curation (1) text corpus (1) multilingual dataset (1) training schedule (1) code intelligence (1) code understanding (1)

Papers

NLP+Code: Code Intelligence in Language Models EMNLP 2025 Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations NeurIPS 2024 The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale NeurIPS 2024 The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset NeurIPS 2022