Nadav Timor

According to our database, Nadav Timor authored at least 9 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Out-of-Vocabulary Sampling Boosts Speculative Decoding.

Nadav Timor, Jonathan Mamou, Oren Pereg, Hongyang Zhang, David Harel

CoRR, June, 2025

Accelerating LLM Inference with Lossless Speculative Decoding Algorithms for Heterogeneous Vocabularies.

Nadav Timor, Jonathan Mamou, Daniel Korat, Moshe Berchansky, Oren Pereg, Gaurav Jain, Roy Schwartz, Moshe Wasserblat, David Harel

CoRR, February, 2025

Distributed Speculative Inference (DSI): Speculation Parallelism for Provably Faster Lossless Language Model Inference.

Nadav Timor, Jonathan Mamou, Daniel Korat, Moshe Berchansky, Oren Pereg, Moshe Wasserblat, Tomer Galanti, Michal Gordon-Kiwkowitz, David Harel

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Distributed Speculative Inference of Large Language Models.

Nadav Timor, Jonathan Mamou, Daniel Korat, Moshe Berchansky, Oren Pereg, Moshe Wasserblat, Tomer Galanti, Michal Gordon, David Harel

CoRR, 2024

Accelerating Speculative Decoding using Dynamic Speculation Length.

Jonathan Mamou, Oren Pereg, Daniel Korat, Moshe Berchansky, Nadav Timor, Moshe Wasserblat, Roy Schwartz

CoRR, 2024

Distributed Speculative Inference of Large Language Models is Provably Faster.

Nadav Timor, Jonathan Mamou, Oren Pereg, Moshe Berchansky, Daniel Korat, Moshe Wasserblat, Tomer Galanti, Michal Gordon, David Harel

Proceedings of the NeurIPS Efficient Natural Language and Speech Processing Workshop, 2024

Dynamic Speculation Lookahead Accelerates Speculative Decoding of Large Language Models.

Jonathan Mamou, Oren Pereg, Daniel Korat, Moshe Berchansky, Nadav Timor, Moshe Wasserblat, Roy Schwartz

Proceedings of the NeurIPS Efficient Natural Language and Speech Processing Workshop, 2024

2023

StarCoder: may the source be with you!

Raymond Li, Loubna Ben Allal, Yangtian Zi, Niklas Muennighoff, Denis Kocetkov, Chenghao Mou, Marc Marone, Christopher Akiki, Jia Li, Jenny Chim, Qian Liu, Evgenii Zheltonozhskii, Terry Yue Zhuo, Thomas Wang, Olivier Dehaene, Mishig Davaadorj, Joel Lamy-Poirier, João Monteiro, Oleh Shliazhko, Nicolas Gontier, Nicholas Meade, Armel Zebaze, Ming-Ho Yee, Logesh Kumar Umapathi, Jian Zhu, Benjamin Lipkin, Muhtasham Oblokulov, Zhiruo Wang, Rudra Murthy V, Jason T. Stillerman, Siva Sankalp Patel, Dmitry Abulkhanov, Marco Zocca, Manan Dey, Zhihan Zhang, Nour Fahmy, Urvashi Bhattacharyya, Wenhao Yu, Swayam Singh, Sasha Luccioni, Paulo Villegas, Maxim Kunakov, Fedor Zhdanov, Manuel Romero, Tony Lee, Nadav Timor, Jennifer Ding, Claire Schlesinger, Hailey Schoelkopf, Jan Ebert, Tri Dao, Mayank Mishra, Alex Gu, Jennifer Robinson, Carolyn Jane Anderson, Brendan Dolan-Gavitt, Danish Contractor, Siva Reddy, Daniel Fried, Dzmitry Bahdanau, Yacine Jernite, Carlos Muñoz Ferrandis, Sean Hughes, Thomas Wolf, Arjun Guha, Leandro von Werra, Harm de Vries

Trans. Mach. Learn. Res., 2023

Implicit Regularization Towards Rank Minimization in ReLU Networks.

Nadav Timor, Gal Vardi, Ohad Shamir

Proceedings of the International Conference on Algorithmic Learning Theory, 2023