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Daniel Hesslow

Daniel Hesslow has 2 papers in our library, in 2022–2023, most of them on Language models & pretraining, Multilingual & cross-lingual NLP, GPU & parallel computing; often with Badreddine Noune, Colin Raffel, Daniele Mazzotta.

2 papers in our library · 2022–2023

OpenAlex · ORCID · h-index 7 · 18 works · 414 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 437 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #4190

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Brown UniversityProvidence · United States2022 · 2 papers
🏛️LightonPARIS · France2020Employment since 2020 · PhD Student w/ Post Digital

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 2 worksGPU & parallel computing · 1 workMultilingual & cross-lingual NLP · 1 work

 Works by year

2020s

20231 paper20221 paper

 Papers

The most cited first (OpenAlex and our library).

  1. The Falcon Series of Open Language Models (2023 · 443 citations)
    The paper documents how the Technology Innovation Institute pretrained Falcon, a family of open causal decoder-only language models with 7B, 40B and 180B parameters.
  2. What Language Model to Train if You Have One Million GPU Hours? (2022 · 73 citations)
    The BigScience collaboration had a fixed allowance of roughly one million A100 GPU-hours to build BLOOM, a massively multilingual model with more than 100B parameters.

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. The Falcon Series of Open Language ModelsarXiv:2311.16867Ebtesam Almazrouei, Hamza Alobeidli, Abdulaziz Alshamsi, et al.2023 · 443 citations
  2. What Language Model to Train if You Have One Million GPU Hours?arXiv:2210.15424Teven Le Scao, Thomas Wang, Daniel Hesslow, et al.2022 · 73 citations
  3. What Language Model Architecture and Pretraining Objective Work Best for Zero-Shot Generalization? ↗arXiv:2204.05832 · no summary yetThomas Wang et al.2022 · 62 citations

 Co-authors here

12 of 20 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 437 times (of the 149,439 papers whose bibliographies we read); 105 citing papers with a page here →.

Updated

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