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  1. 24 de jun. de 2024 · &Nir Shavit. MIT & Neural Magic. shanir@mit.edu. Equal contribution. Author order determined by coin toss. Abstract. We show how to improve the inference efficiency of an LLM by expanding it into a mixture of sparse experts, where each expert is a copy of the original weights, one-shot pruned for a specific cluster of input values.

  2. 9 de jul. de 2024 · Nir Shaviv. Professor, Racah Institute of Physics. According to PhysicaPlus: “… [Dr. Shaviv’s] research interests cover a wide range of topics in astrophysics.

  3. 20 de jun. de 2024 · Dan Alistarh, William M. Leiserson, Alexander Matveev, and Nir Shavit. 2015. ThreadScan: Automatic and Scalable Memory Reclamation. In Proceedings of the 27th ACM Symposium on Parallelism in Algorithms and Architectures (SPAA ’15).

  4. 18 de jun. de 2024 · Tony Wang is a PhD student in the Computer Science and Artificial Intelligence Laboratory at the Massachusetts Institute of Technology (MIT), where he is advised by Nir Shavit. Tony’s research focuses on adversarial robustness.

  5. Hace 2 días · Nir Shavit; Because of their highly distributed nature and the lack of global rebalancing, skiplists are becoming an increasingly important logarithmic search structure for concurrent applications.

  6. dblp.org › db › confdblp: SPAA

    6 de jul. de 2024 · Friedhelm Meyer auf der Heide, Nir Shavit: SPAA 2008: Proceedings of the 20th Annual ACM Symposium on Parallelism in Algorithms and Architectures, Munich, Germany, June 14-16, 2008. ACM 2008, ISBN 978-1-59593-973-9

  7. 1 de jul. de 2024 · Modeling user preferences has been mainly addressed by looking at users' interaction history with the different elements available in the system.