Pradeep Dasigi

Career

Dasigi is a Lead Research Scientist on the Olmo team at Ai2 and is listed in Ai2's team directory. Dasigi's page notes past work with the AllenNLP team and describes current interest in training language and vision-language models for long-horizon agentic tasks such as coding, search and web browsing.¹⁵

Research

Dasigi's early benchmark work includes DROP (2019), a reading-comprehension benchmark requiring discrete reasoning, and Quoref (2019) and Qasper (2021), both as first author. Dasigi's research page groups later work under efficient adaptation of language models and robustness to distribution shifts.⁶⁷⁸²

On open language-model recipes, Dasigi co-authored "How Far Can Camels Go?" (2023) on instruction tuning with open resources, the Tülu 3 report (2024) and the Olmo 3 report (2025), where Dasigi is credited for technical leadership alongside work on post-training and evaluation.⁹⁴³²

Work and contributions

• Olmo 3 7B Instruct Open weights

  Credited in the Olmo 3 report for technical leadership and cross-workstream contributions, and for post-training infrastructure, evaluation and mid- and post-training data work.³

• Olmo 3.1 32B Think Open weights

  Among the authors credited with technical leadership on the Olmo 3 report, which introduces Olmo 3.1 Think 32B as the project's flagship reasoning model.³

• Llama 3.1 Tülu 3.1 8B Open weights

  Co-author of the Tülu 3 report on open language model post-training, which the Tülu 3.1 8B model card cites as its paper.⁴¹⁰

• Qasper Open data

  First author of the paper introducing a dataset of information-seeking questions and answers anchored in research papers.⁸

Timeline

1. Mar 2019Co-authored DROP, a reading-comprehension benchmark requiring discrete reasoning over paragraphs.⁶
2. Aug 2019Posted Quoref, a reading-comprehension dataset on coreferential reasoning, as first author.⁷
3. May 2021Posted Qasper, a dataset of questions and answers anchored in research papers, as first author.⁸
4. Jun 2023Co-authored "How Far Can Camels Go?" on instruction tuning with open resources.⁹
5. Nov 2024Co-authored the Tülu 3 report on open language model post-training.⁴
6. Dec 2025Credited with technical leadership on the Olmo 3 report.³

Where they work

• Ai2 23 people in the wiki

Related people

• Kyle LoAlso at Ai2
• Swabha SwayamdiptaAlso at Ai2
• Jesse DodgeAlso at Ai2
• Luca SoldainiAlso at Ai2
• Mohit IyyerAlso at Ai2
• Leo GaoLanguage models · Evaluation and benchmarks
• Rohan TaoriLanguage models · Evaluation and benchmarks
• Yacine JerniteDatasets and data · Language models
• Ruchir PuriLanguage models · Datasets and data
• Eugene YanLanguage models · Evaluation and benchmarks