Crystal Nam
Crystal Nam is a researcher whose coauthored work spans open language models, pretraining data and vision-language systems. She coauthored Dolma in 2024, and the paper received an ACL Best Social Impact Paper award. Her 2024 work also included OLMo and Molmo; Molmo and PixMo received a CVPR Best Paper Honorable Mention in 2025. She joined the COLM version of OLMo 2 in 2025 and is part of Ai2's team as of October 2026.
- Works
- 7
- Citations
- 213
- h-index
- 5
Publication numbers from OpenAlex, as of 19 October 2026.
Timeline
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2024
Dolma and an ACL award
In 2024, she coauthors Dolma, a three-trillion-token English corpus for language-model pretraining; the paper receives an ACL Best Social Impact Paper Award.
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August 2024
An open language model
In 2024, she coauthors OLMo, a competitive open language model released with open training data plus training and evaluation code.
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September 2024–June 2025
Molmo earns a CVPR mention
In September 2024, she coauthors Molmo and PixMo, an open vision-language model family with captioning, question-answering and pointing datasets; the paper receives a Best Paper Honorable Mention at CVPR in June 2025.
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2025
2 OLMo 2 Furious at COLM
She joins the authors of the COLM 2025 version of 2 OLMo 2 Furious, which presents the next generation of fully open language models.
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As of October 2026
On Ai2's team
She is part of Ai2's team in 2026.
Most-cited works
- OLMo: Accelerating the Science of Language ModelsWith Luke Zettlemoyer, Nathan Lambert, Niklas Muennighoff and Noah Smith
- Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language ModelsWith Ali Farhadi, Andrew Head, Aniruddha Kembhavi, Chris Callison-Burch, Chris Newell and Christopher Clark
- Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining ResearchWith Luke Zettlemoyer, Nathan Lambert, Niklas Muennighoff and Noah Smith
- 2 OLMo 2 FuriousWith Aman Rangapur, Christopher Clark, Luke Zettlemoyer, Nathan Lambert, Noah Smith and Pang Wei Koh
Sources and credits
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- Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research
- Best Paper Awards - ACL 2024
- OLMo: Accelerating the Science of Language Models
- Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models
- Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models
- CVPR 2025 Best Papers and Best Demos
- COLM 2025: Accepted Papers
- 2 OLMo 2 Furious
- Team Directory | Ai2