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Saumya Malik

Saumya Malik has 2 papers in our library, in 2024–2025, most of them on Language models & pretraining; often with Hamish Ivison, Nathan Lambert, Shengyi Huang.

2 papers in our library · 2024–2025

OpenAlex · h-index 4 · 8 works · 25 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 920 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #3909

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

🔬Allen Institute for Artificial IntelligenceSeattle · United States2024–2026 · 6 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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).Artificial Intelligence · 2 worksLanguage and Linguistics · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksMathematics · 1 work

🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 1 work

 Works by year

2020s

20251 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Tulu 3: Pushing Frontiers in Open Language Model Post-Training (2024 · 423 citations)
    Open post-training recipes have trailed proprietary ones, mostly because the data and procedures behind closed models are rarely disclosed.
  2. Generalizing Verifiable Instruction Following (2025 · 59 citations)
    Language models are commonly tested on whether they obey checkable output rules, such as word counts or required formats.

All works

4 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. Tulu 3: Pushing Frontiers in Open Language Model Post-TrainingarXiv:2411.15124Nathan Lambert, Jacob Morrison, Valentina Pyatkin, et al.2024 · 423 citations
  2. 2 OLMo 2 Furious ↗arXiv:2501.00656 · no summary yetTeam OLMo et al.2025 · 262 citations
  3. QuRating: Selecting High-Quality Data for Training Language Models ↗arXiv:2402.09739 · no summary yetAlexander Wettig et al.2024 · 74 citations
  4. Generalizing Verifiable Instruction FollowingConference on Neural Information Processing Systems (NeurIPS)Valentina Pyatkin, Saumya Malik, Victoria Graf, et al.2025 · 59 citations

 Co-authors here

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

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 920 times (of the 149,439 papers whose bibliographies we read); 200 citing papers with a page here →.

Updated

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