Moshe Berchansky

According to our database, Moshe Berchansky authored at least 11 papers between 2021 and 2025.

Collaborative distances:

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

2025

SQuARE: Sequential Question Answering Reasoning Engine for Enhanced Chain-of-Thought in Large Language Models.

Daniel Fleischer, Moshe Berchansky, Gad Markovits, Moshe Wasserblat

CoRR, February, 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

RAG Foundry: A Framework for Enhancing LLMs for Retrieval Augmented Generation.

Daniel Fleischer, Moshe Berchansky, Moshe Wasserblat, Peter Izsak

CoRR, 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

CoTAR: Chain-of-Thought Attribution Reasoning with Multi-level Granularity.

Moshe Berchansky, Daniel Fleischer, Moshe Wasserblat, Peter Izsak

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Optimizing Retrieval-augmented Reader Models via Token Elimination.

Moshe Berchansky, Peter Izsak, Avi Caciularu, Ido Dagan, Moshe Wasserblat

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2021

How to Train BERT with an Academic Budget.

Peter Izsak, Moshe Berchansky, Omer Levy

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021