Moshe Wasserblat

According to our database, Moshe Wasserblat authored at least 34 papers between 2000 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

HELMET: How to Evaluate Long-context Models Effectively and Thoroughly.

Howard Yen, Tianyu Gao, Minmin Hou, Ke Ding, Daniel Fleischer, Peter Izsak, Moshe Wasserblat, Danqi Chen

Proceedings of the Thirteenth International Conference on Learning Representations, 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

HELMET: How to Evaluate Long-Context Language Models Effectively and Thoroughly.

Howard Yen, Tianyu Gao, Minmin Hou, Ke Ding, Daniel Fleischer, Peter Izsak, Moshe Wasserblat, Danqi Chen

CoRR, 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

An Efficient Sparse Inference Software Accelerator for Transformer-based Language Models on CPUs.

Haihao Shen, Hengyu Meng, Bo Dong, Zhe Wang, Ofir Zafrir, Yi Ding, Yu Luo, Hanwen Chang, Qun Gao, Ziheng Wang, Guy Boudoukh, Moshe Wasserblat

CoRR, 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

2022

Fast DistilBERT on CPUs.

Haihao Shen, Ofir Zafrir, Bo Dong, Hengyu Meng, Xinyu Ye, Zhe Wang, Yi Ding, Hanwen Chang, Guy Boudoukh, Moshe Wasserblat

CoRR, 2022

QuaLA-MiniLM: a Quantized Length Adaptive MiniLM.

Shira Guskin, Moshe Wasserblat, Chang Wang, Haihao Shen

CoRR, 2022

Efficient Few-Shot Learning Without Prompts.

Lewis Tunstall, Nils Reimers, Unso Eun Seo Jo, Luke Bates, Daniel Korat, Moshe Wasserblat, Oren Pereg

CoRR, 2022

TangoBERT: Reducing Inference Cost by using Cascaded Architecture.

Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Roy Schwartz

CoRR, 2022

Opinion-based Relational Pivoting for Cross-domain Aspect Term Extraction.

Ayal Klein, Oren Pereg, Daniel Korat, Vasudev Lal, Moshe Wasserblat, Ido Dagan

Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, 2022

Cross-Domain Aspect Extraction using Transformers Augmented with Knowledge Graphs.

Phillip Howard, Arden Ma, Vasudev Lal, Ana Paula Simões, Daniel Korat, Oren Pereg, Moshe Wasserblat, Gadi Singer

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Dynamic-TinyBERT: Boost TinyBERT's Inference Efficiency by Dynamic Sequence Length.

Shira Guskin, Moshe Wasserblat, Ke Ding, Gyuwan Kim

CoRR, 2021

Prune Once for All: Sparse Pre-Trained Language Models.

Ofir Zafrir, Ariel Larey, Guy Boudoukh, Haihao Shen, Moshe Wasserblat

CoRR, 2021

InterpreT: An Interactive Visualization Tool for Interpreting Transformers.

Vasudev Lal, Arden Ma, Estelle Aflalo, Phillip Howard, Ana Paula Simões, Daniel Korat, Oren Pereg, Gadi Singer, Moshe Wasserblat

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, 2021

2020

Exploring the Boundaries of Low-Resource BERT Distillation.

Moshe Wasserblat, Oren Pereg, Peter Izsak

Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural Language Processing, 2020

Syntactically Aware Cross-Domain Aspect and Opinion Terms Extraction.

Oren Pereg, Daniel Korat, Moshe Wasserblat

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

Multi-Context Term Embeddings: the Use Case of Corpus-based Term Set Expansion.

Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Ido Dagan

CoRR, 2019

Q8BERT: Quantized 8Bit BERT.

Ofir Zafrir, Guy Boudoukh, Peter Izsak, Moshe Wasserblat

Proceedings of the Fifth Workshop on Energy Efficient Machine Learning and Cognitive Computing, 2019

Training Compact Models for Low Resource Entity Tagging using Pre-trained Language Models.

Peter Izsak, Shira Guskin, Moshe Wasserblat

Proceedings of the Fifth Workshop on Energy Efficient Machine Learning and Cognitive Computing, 2019

ABSApp: A Portable Weakly-Supervised Aspect-Based Sentiment Extraction System.

Oren Pereg, Daniel Korat, Moshe Wasserblat, Jonathan Mamou, Ido Dagan

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Term Set Expansion based on Multi-Context Term Embeddings: an End-to-end Workflow.

Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Ido Dagan, Yoav Goldberg, Alon Eirew, Yael Green, Shira Guskin, Peter Izsak, Daniel Korat

CoRR, 2018

Term Set Expansion based NLP Architect by Intel AI Lab.

Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Alon Eirew, Yael Green, Shira Guskin, Peter Izsak, Daniel Korat

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018

SetExpander: End-to-end Term Set Expansion Based on Multi-Context Term Embeddings.

Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Ido Dagan, Yoav Goldberg, Alon Eirew, Yael Green, Shira Guskin, Peter Izsak, Daniel Korat

Proceedings of the COLING 2018, 2018

2015

Meeting assistant application.

Michel Assayag, Jonathan Huang, Jonathan Mamou, Oren Pereg, Saurav Sahay, Oren Shamir, Georg Stemmer, Moshe Wasserblat

Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

2006

How to Deal with Multiple-Targets in Speaker Identification Systems?

Yaniv Zigel, Moshe Wasserblat

Proceedings of the Odyssey 2006: The Speaker and Language Recognition Workshop, 2006

2000

Underwater acoustic communications using a-priori statistics on channel time-variations.

Moshe Wasserblat, Joseph Tabrikian

Proceedings of the IEEE International Conference on Acoustics, 2000