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Dive into the research topics where Tri Dao is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Ladder-Residual: Parallelism-Aware Architecture for Accelerating Large Model Inference with Communication Overlapping
Zhang, M., Mishra, M., Zhou, Z., Brandon, W., Wang, J., Kim, Y., Ragan-Kelley, J., Song, S. L., Athiwaratkun, B. & Dao, T., 2025, In: Proceedings of Machine Learning Research. 267, p. 75779-75792 14 p.Research output: Contribution to journal › Conference article › peer-review
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BitDelta: Your Fine-Tune May Only Be Worth One Bit
Liu, J., Xiao, G., Li, K., Lee, J. D., Han, S., Dao, T. & Cai, T., 2024, In: Advances in Neural Information Processing Systems. 37Research output: Contribution to journal › Conference article › peer-review
4 Link opens in a new tab Scopus citations -
Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling
Schiff, Y., Kao, C. H., Gokaslan, A., Dao, T., Gu, A. & Kuleshov, V., 2024, In: Proceedings of Machine Learning Research. 235, p. 43632-43648 17 p.Research output: Contribution to journal › Conference article › peer-review
24 Link opens in a new tab Scopus citations -
FLASHATTENTION-2: FASTER ATTENTION WITH BETTER PARALLELISM AND WORK PARTITIONING
Dao, T., 2024.Research output: Contribution to conference › Paper › peer-review
273 Link opens in a new tab Scopus citations -
FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision
Shah, J., Bikshandi, G., Zhang, Y., Thakkar, V., Ramani, P. & Dao, T., 2024, In: Advances in Neural Information Processing Systems. 37Research output: Contribution to journal › Conference article › peer-review
40 Link opens in a new tab Scopus citations