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ORCIDAran Komatsuzaki
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2020 – today
- 2024
[b1]Aran Komatsuzaki:
Improving Foundation Models. Georgia Institute of Technology, Atlanta, GA, USA, 2024- 2023
- [c1]Aran Komatsuzaki, Joan Puigcerver, James Lee-Thorp, Carlos Riquelme Ruiz, Basil Mustafa, Joshua Ainslie, Yi Tay, Mostafa Dehghani, Neil Houlsby:
Sparse Upcycling: Training Mixture-of-Experts from Dense Checkpoints. ICLR 2023 - [i6]Tomohiro Sawada, Daniel Paleka, Alexander Havrilla, Pranav Tadepalli
, Paula Vidas, Alexander Kranias, John J. Nay, Kshitij Gupta, Aran Komatsuzaki:
ARB: Advanced Reasoning Benchmark for Large Language Models. CoRR abs/2307.13692 (2023) - 2022
- [i5]Aran Komatsuzaki, Joan Puigcerver, James Lee-Thorp, Carlos Riquelme Ruiz, Basil Mustafa, Joshua Ainslie, Yi Tay, Mostafa Dehghani, Neil Houlsby:
Sparse Upcycling: Training Mixture-of-Experts from Dense Checkpoints. CoRR abs/2212.05055 (2022) - 2021
- [i4]Christoph Schuhmann, Richard Vencu, Romain Beaumont, Robert Kaczmarczyk, Clayton Mullis, Aarush Katta, Theo Coombes, Jenia Jitsev, Aran Komatsuzaki:
LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs. CoRR abs/2111.02114 (2021) - 2020
- [i3]Aran Komatsuzaki:
Current Limitations of Language Models: What You Need is Retrieval. CoRR abs/2009.06857 (2020)
2010 – 2019
- 2019
- [i2]Aran Komatsuzaki:
One Epoch Is All You Need. CoRR abs/1906.06669 (2019) - 2018
- [i1]Aran Komatsuzaki:
Extractive Summary as Discrete Latent Variables. CoRR abs/1811.05542 (2018)
Coauthor Index
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