Practical mod_perl - programming, administration, performance tips. - Stas Bekman; Eric Cholet (O'Reilly, 2003)

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)

What Language Model to Train if You Have One Million GPU Hours? - Teven Le Scao; Thomas Wang; Daniel Hesslow; Lucile Saulnier; Stas Bekman; M. Saiful Bari; Stella Biderman; Hady Elsahar; Niklas Muennighoff; Jason Phang; Ofir Press; Colin Raffel; et al. (EMNLP (Findings), 2022)

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model. - Teven Le Scao; Angela Fan; Christopher Akiki; Ellie Pavlick; Suzana Ilic; Daniel Hesslow; Roman Castagné; Alexandra Sasha Luccioni; François Yvon; Matthias Gallé; Jonathan Tow; Alexander M. Rush; et al. (CoRR, 2022)

OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents. - Hugo Laurençon; Lucile Saulnier; Léo Tronchon; Stas Bekman; Amanpreet Singh; Anton Lozhkov; Thomas Wang; Siddharth Karamcheti; Alexander M. Rush; Douwe Kiela; Matthieu Cord; Victor Sanh (NeurIPS, 2023)

OBELISC: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents. - Hugo Laurençon; Lucile Saulnier; Léo Tronchon; Stas Bekman; Amanpreet Singh; Anton Lozhkov; Thomas Wang; Siddharth Karamcheti; Alexander M. Rush; Douwe Kiela; Matthieu Cord; Victor Sanh (CoRR, 2023)

The Case for Co-Designing Model Architectures with Hardware. - Quentin Anthony; Jacob Hatef; Deepak Narayanan; Stella Biderman; Stas Bekman; Junqi Yin; Aamir Shafi; Hari Subramoni; Dhabaleswar K. Panda 001 (ICPP, 2024)

Universal Checkpointing: Efficient and Flexible Checkpointing for Large Scale Distributed Training. - Xinyu Lian; Sam Ade Jacobs; Lev Kurilenko; Masahiro Tanaka; Stas Bekman; Olatunji Ruwase; Minjia Zhang (CoRR, 2024)

Universal Checkpointing: A Flexible and Efficient Distributed Checkpointing System for Large-Scale DNN Training with Reconfigurable Parallelism. - Xinyu Lian; Sam Ade Jacobs; Lev Kurilenko; Masahiro Tanaka; Stas Bekman; Olatunji Ruwase; Minjia Zhang (USENIX ATC, 2025)

Arctic Long Sequence Training: Scalable And Efficient Training For Multi-Million Token Sequences. - Stas Bekman; Samyam Rajbhandari; Michael Wyatt; Jeff Rasley; Tunji Ruwase; Zhewei Yao; Aurick Qiao; Yuxiong He (CoRR, 2025)