Unsupervised Anomaly Detection for Seasonal Time Series. - Leandro von Werra; Lewis Tunstall; Simon Hofer (SDS, 2019)

Datasets: A Community Library for Natural Language Processing. - Quentin Lhoest; Albert Villanova del Moral; Yacine Jernite; Abhishek Thakur; Patrick von Platen; Suraj Patil; Julien Chaumond; Mariama Drame; Julien Plu; Lewis Tunstall; Joe Davison; Mario Sasko; et al. (EMNLP (Demos), 2021)

RAFT: A Real-World Few-Shot Text Classification Benchmark. - Neel Alex; Eli Lifland; Lewis Tunstall; Abhishek Thakur; Pegah Maham; C. Jess Riedel; Emmie Hine; Carolyn Ashurst; Paul Sedille; Alexis Carlier; Michael Noetel; Andreas Stuhlmüller (NeurIPS Datasets and Benchmarks, 2021)

giotto-tda: : A Topological Data Analysis Toolkit for Machine Learning and Data Exploration. - Guillaume Tauzin; Umberto Lupo; Lewis Tunstall; Julian Burella Pérez; Matteo Caorsi; Anibal M. Medina-Mardones; Alberto Dassatti; Kathryn Hess (J. Mach. Learn. Res., 2021)

Evaluate & Evaluation on the Hub: Better Best Practices for Data and Model Measurements. - Leandro von Werra; Lewis Tunstall; Abhishek Thakur; Sasha Luccioni; Tristan Thrush; Aleksandra Piktus; Felix Marty; Nazneen Rajani; Victor Mustar; Helen Ngo (EMNLP (Demos), 2022)

GEMv2: Multilingual NLG Benchmarking in a Single Line of Code. - Sebastian Gehrmann; Abhik Bhattacharjee; Abinaya Mahendiran; Alex Wang; Alexandros Papangelis; Aman Madaan; Angelina McMillan-Major; Anna Shvets; Ashish Upadhyay; Bingsheng Yao; Bryan Wilie; Chandra Bhagavatula; et al. (CoRR, 2022)

Efficient Few-Shot Learning Without Prompts. - Lewis Tunstall; Nils Reimers 003; Unso Eun Seo Jo; Luke Bates; Daniel Korat; Moshe Wasserblat; Oren Pereg (CoRR, 2022)

Evaluate & Evaluation on the Hub: Better Best Practices for Data and Model Measurements. - Leandro von Werra; Lewis Tunstall; Abhishek Thakur; Alexandra Sasha Luccioni; Tristan Thrush; Aleksandra Piktus; Felix Marty; Nazneen Rajani; Victor Mustar; Helen Ngo; Omar Sanseviero; Mario Sasko; et al. (CoRR, 2022)

AfroDigits: A Community-Driven Spoken Digit Dataset for African Languages. - Chris Chinenye Emezue; Sanchit Gandhi; Lewis Tunstall; Abubakar Abid; Joshua Meyer; Quentin Lhoest; Pete Allen; Patrick von Platen; Douwe Kiela; Yacine Jernite; Julien Chaumond; Merve Noyan; et al. (AfricaNLP, 2023)

Zephyr: Direct Distillation of LM Alignment. - Lewis Tunstall; Edward Beeching; Nathan Lambert 001; Nazneen Rajani; Kashif Rasul; Younes Belkada; Shengyi Huang; Leandro von Werra; Clémentine Fourrier; Nathan Habib; Nathan Sarrazin; Omar Sanseviero; et al. (CoRR, 2023)

Federated benchmarking of medical artificial intelligence with MedPerf. - Alexandros Karargyris; Renato Umeton; Micah J. Sheller; Alejandro Aristizabal; Johnu George; Anna Wuest; Sarthak Pati; Hasan Kassem; Maximilian Zenk; Ujjwal Baid; Prakash Narayana Moorthy; Alexander Chowdhury; et al. (Nat. Mac. Intell., 2023)

The N+ Implementation Details of RLHF with PPO: A Case Study on TL;DR Summarization. - Shengyi Huang; Michael Noukhovitch; Arian Hosseini; Kashif Rasul; Weixun Wang; Lewis Tunstall (CoRR, 2024)

SmolLM2: When Smol Goes Big - Data-Centric Training of a Small Language Model. - Loubna Ben Allal; Anton Lozhkov; Elie Bakouch; Gabriel Martín Blázquez; Guilherme Penedo; Lewis Tunstall; Andrés Marafioti; Hynek Kydlícek; Agustín Piqueres Lajarín; Vaibhav Srivastav; Joshua Lochner; Caleb Fahlgren; et al. (CoRR, 2025)

Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning. - Yuxiao Qu; Matthew Y. R. Yang; Amrith Setlur; Lewis Tunstall; Edward Emanuel Beeching; Ruslan Salakhutdinov; Aviral Kumar (CoRR, 2025)

SmolVLM: Redefining small and efficient multimodal models. - Andrés Marafioti; Orr Zohar; Miquel Farré; Merve Noyan; Elie Bakouch; Pedro Cuenca 002; Cyril Zakka; Loubna Ben Allal; Anton Lozhkov; Nouamane Tazi; Vaibhav Srivastav; Joshua Lochner; et al. (CoRR, 2025)

Kimina-Prover Preview: Towards Large Formal Reasoning Models with Reinforcement Learning. - Haiming Wang; Mert Unsal; Xiaohan Lin; Mantas Baksys; Junqi Liu; Marco Dos Santos; Flood Sung; Marina Vinyes; Zhenzhe Ying; Zekai Zhu; Jianqiao Lu; Hugues de Saxcé; et al. (CoRR, 2025)