Better C: An Object-Oriented C Language with Automatic Memory Manager Suitable for Interactive Applications. - Thomas Wang (ACM SIGPLAN Notices, 1994)

Eliminate Memory Fragmentation through Holes in the Heap. - Thomas Wang (ACM SIGPLAN Notices, 1994)

The Differences of Aviation Human Factors between Individualism and Collectivism Culture. - Wen-Chin Li; Don Harris; Lon-Wen Li; Thomas Wang (HCI (4), 2009)

Predicting CPU usage for proactive autoscaling. - Thomas Wang; Simone Ferlin; Marco Chiesa (EuroMLSys@EuroSys, 2021)

Multitask Prompted Training Enables Zero-Shot Task Generalization. - Victor Sanh; Albert Webson; Colin Raffel; Stephen H. Bach; Lintang Sutawika; Zaid Alyafeai; Antoine Chaffin; Arnaud Stiegler; Teven Le Scao; Arun Raja; Manan Dey; M. Saiful Bari; et al. (CoRR, 2021)

Implications of Data As a Public Good: Charting a Path Toward Diagnostic Excellence. - Curtis P. Langlotz; Thomas Wang; Tina Hernandez-Boussard; Irene Dankwa-Mullan (AMIA, 2022)

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)

Multitask Prompted Training Enables Zero-Shot Task Generalization. - Victor Sanh; Albert Webson; Colin Raffel; Stephen H. Bach; Lintang Sutawika; Zaid Alyafeai; Antoine Chaffin; Arnaud Stiegler; Arun Raja; Manan Dey; M Saiful Bari; Canwen Xu; et al. (ICLR, 2022)

What Language Model Architecture and Pretraining Objective Works Best for Zero-Shot Generalization? - Thomas Wang; Adam Roberts; Daniel Hesslow; Teven Le Scao; Hyung Won Chung; Iz Beltagy; Julien Launay; Colin Raffel (ICML, 2022)

The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset. - Hugo Laurençon; Lucile Saulnier; Thomas Wang; Christopher Akiki; Albert Villanova del Moral; Teven Le Scao; Leandro von Werra; Chenghao Mou; Eduardo González Ponferrada; Huu Nguyen; Jörg Frohberg; Mario Sasko; et al. (NeurIPS, 2022)

What Language Model Architecture and Pretraining Objective Work Best for Zero-Shot Generalization? - Thomas Wang; Adam Roberts; Daniel Hesslow; Teven Le Scao; Hyung Won Chung; Iz Beltagy; Julien Launay; Colin Raffel (CoRR, 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)

Crosslingual Generalization through Multitask Finetuning. - Niklas Muennighoff; Thomas Wang; Lintang Sutawika; Adam Roberts; Stella Biderman; Teven Le Scao; M. Saiful Bari; Sheng Shen 001; Zheng Xin Yong; Hailey Schoelkopf; Xiangru Tang; Dragomir Radev; et al. (ACL (1), 2023)

FinGPT: Large Generative Models for a Small Language. - Risto Luukkonen; Ville Komulainen; Jouni Luoma; Anni Eskelinen; Jenna Kanerva; Hanna-Mari Kupari; Filip Ginter; Veronika Laippala; Niklas Muennighoff; Aleksandra Piktus; Thomas Wang; Nouamane Tazi; et al. (EMNLP, 2023)

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)

Mistral 7B. - Albert Q. Jiang; Alexandre Sablayrolles; Arthur Mensch; Chris Bamford 001; Devendra Singh Chaplot; Diego de Las Casas; Florian Bressand; Gianna Lengyel; Guillaume Lample; Lucile Saulnier; Lélio Renard Lavaud; Marie-Anne Lachaux; et al. (CoRR, 2023)

StarCoder: may the source be with you! - Raymond Li; Loubna Ben Allal; Yangtian Zi; Niklas Muennighoff; Denis Kocetkov; Chenghao Mou; Marc Marone; Christopher Akiki; Jia Li 015; Jenny Chim; Qian Liu 012; Evgenii Zheltonozhskii; et al. (Trans. Mach. Learn. Res., 2023)

Mixtral of Experts. - Albert Q. Jiang; Alexandre Sablayrolles; Antoine Roux; Arthur Mensch; Blanche Savary; Chris Bamford 001; Devendra Singh Chaplot; Diego de Las Casas; Emma Bou Hanna; Florian Bressand; Gianna Lengyel; Guillaume Bour; et al. (CoRR, 2024)

Pixtral 12B. - Pravesh Agrawal; Szymon Antoniak; Emma Bou Hanna; Baptiste Bout; Devendra Singh Chaplot; Jessica Chudnovsky; Diogo Costa; Baudouin De Monicault; Saurabh Garg; Théophile Gervet; Soham Ghosh; Amélie Héliou; et al. (CoRR, 2024)

High-Throughput Detection of Risk Factors to Sudden Cardiac Arrest in Youth Athletes: A Smartwatch-Based Screening Platform. - Evan Xiang; Thomas Wang; Vivan Poddar (CoRR, 2024)

Preliminary Study on Fine-Grained Power and Energy Measurements on Grace Hopper GH200 with Open-Source Performance Tools. - Oscar R. Hernandez; Thomas Wang; Wael R. Elwasif; Filippo Spiga; Francesca Tartaglione; Markus Eisenbach 002; Ross Miller (HPC Asia Workshops, 2025)

Power-Capping Metric Evaluation for Improving Energy Efficiency. - Maria Patrou; Thomas Wang; Wael R. Elwasif; Markus Eisenbach 002; Ross Miller; William F. Godoy; Oscar R. Hernandez (CoRR, 2025)

MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks. - Suhana Bedi; Hejie Cui; Miguel Fuentes; Alyssa Unell; Michael Wornow; Juan M. Banda; Nikesh Kotecha; Timothy Keyes; Yifan Mai 001; Mert Oez; Hao Qiu; Shrey Jain; et al. (CoRR, 2025)

Magistral. - Abhinav Rastogi; Albert Q. Jiang; Andy Lo; Gabrielle Berrada; Guillaume Lample; Jason Rute; Joep Barmentlo; Karmesh Yadav; Kartik Khandelwal; Khyathi Raghavi Chandu; Léonard Blier; Lucile Saulnier; et al. (CoRR, 2025)

Voxtral. - Alexander H. Liu; Andy Ehrenberg; Andy Lo; Clément Denoix; Corentin Barreau; Guillaume Lample; Jean-Malo Delignon; Khyathi Raghavi Chandu; Patrick von Platen; Pavankumar Reddy Muddireddy; Sanchit Gandhi; Soham Ghosh; et al. (CoRR, 2025)