Ajay Patel
Several of Ajay Patel's papers use synthetic data to train language and vision-language models. He co-founded Plasticity in 2016, a company that built natural language processing APIs for developers and was acquired in October 2020. He co-wrote a paper on prompting bidirectional models that ICLR presented in 2023, and DataDreamer, a tool for synthetic data generation and reproducible LLM workflows, which ACL published in 2024. He co-authored Molmo and PixMo, open vision-language models posted to arXiv in September 2024, and CoSyn, which ACL published in 2025. In 2026 he co-authored FineInstructions, a paper on scaling synthetic instructions to pre-training scale.
Timeline
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2016–2020
Co-founding Plasticity
He co-founds Plasticity in 2016, a company that builds natural language processing APIs for developers, and it is acquired in October 2020.
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2023
SAP prompting for bidirectional models
Bidirectional Language Models Are Also Few-shot Learners, which he co-writes, presents SAP prompting for bidirectional models at ICLR in 2023.
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2024
DataDreamer for LLM workflows
In 2024 ACL publishes DataDreamer, a tool he co-writes for synthetic data generation and reproducible LLM workflows.
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September 2024
Molmo and PixMo open models
The Molmo and PixMo paper, which he co-authors, is posted to arXiv in September 2024.
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2025
CoSyn for synthetic text-rich data
CoSyn, a paper he co-authors, uses code from text-only language models to create synthetic text-rich image data and appears at ACL 2025.
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2025
Style embeddings from synthetic examples
StyleDistance, which he co-writes, trains style embeddings on synthetic parallel examples, and the NAACL 2025 proceedings publish it.
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2026
Scaling synthetic instructions
He co-authors FineInstructions, a paper on scaling synthetic instructions to pre-training scale, which is posted to arXiv in January 2026 and listed for COLM 2026.
Sources and credits
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- Plasticity: Natural language processing APIs for developers. | Y Combinator
- About | Ajay Patel
- Ajay Patel
- ICLR Poster Bidirectional Language Models Are Also Few-shot Learners
- DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows - ACL Anthology
- [2409.17146] Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models
- Chris Callison-Burch
- [2502.14846] Scaling Text-Rich Image Understanding via Code-Guided Synthetic Multimodal Data Generation
- StyleDistance: Stronger Content-Independent Style Embeddings with Synthetic Parallel Examples - ACL Anthology
- [2601.22146] FineInstructions: Scaling Synthetic Instructions to Pre-Training Scale