Moshe Wasserblat

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 30

Top Topics

Term Extraction

Top Venues

EMNLP/IJCNLP (3)

Publications

Nadav Timor, Jonathan Mamou, Daniel Korat, Moshe Berchansky, Oren Pereg, Moshe Wasserblat, Tomer Galanti, Michal Gordon, David Harel
Distributed Speculative Inference of Large Language Models. CoRR (2024)
Moshe Berchansky, Daniel Fleischer, Moshe Wasserblat, Peter Izsak
CoTAR: Chain-of-Thought Attribution Reasoning with Multi-level Granularity. CoRR (2024)
Jonathan Mamou, Oren Pereg, Daniel Korat, Moshe Berchansky, Nadav Timor, Moshe Wasserblat, Roy Schwartz
Accelerating Speculative Decoding using Dynamic Speculation Length. CoRR (2024)
Moshe Berchansky, Peter Izsak, Avi Caciularu, Ido Dagan, Moshe Wasserblat
Optimizing Retrieval-augmented Reader Models via Token Elimination. EMNLP (2023)
Moshe Berchansky, Peter Izsak, Avi Caciularu, Ido Dagan, Moshe Wasserblat
Optimizing Retrieval-augmented Reader Models via Token Elimination. CoRR (2023)
Haihao Shen, Hengyu Meng, Bo Dong, Zhe Wang, Ofir Zafrir, Yi Ding, Yu Luo, Hanwen Chang, Qun Gao, Ziheng Wang, Guy Boudoukh, Moshe Wasserblat
An Efficient Sparse Inference Software Accelerator for Transformer-based Language Models on CPUs. CoRR (2023)
Lewis Tunstall, Nils Reimers, Unso Eun Seo Jo, Luke Bates, Daniel Korat, Moshe Wasserblat, Oren Pereg
Efficient Few-Shot Learning Without Prompts. CoRR (2022)
Shira Guskin, Moshe Wasserblat, Chang Wang, Haihao Shen
QuaLA-MiniLM: a Quantized Length Adaptive MiniLM. CoRR (2022)
Ayal Klein, Oren Pereg, Daniel Korat, Vasudev Lal, Moshe Wasserblat, Ido Dagan
Opinion-based Relational Pivoting for Cross-domain Aspect Term Extraction. WASSA@ACL (2022)
Phillip Howard, Arden Ma, Vasudev Lal, Ana Paula Simães, Daniel Korat, Oren Pereg, Moshe Wasserblat, Gadi Singer
Cross-Domain Aspect Extraction using Transformers Augmented with Knowledge Graphs. CIKM (2022)
Phillip Howard, Arden Ma, Vasudev Lal, Ana Paula Simões, Daniel Korat, Oren Pereg, Moshe Wasserblat, Gadi Singer
Cross-Domain Aspect Extraction using Transformers Augmented with Knowledge Graphs. CoRR (2022)
Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Roy Schwartz
TangoBERT: Reducing Inference Cost by using Cascaded Architecture. CoRR (2022)
Haihao Shen, Ofir Zafrir, Bo Dong, Hengyu Meng, Xinyu Ye, Zhe Wang, Yi Ding, Hanwen Chang, Guy Boudoukh, Moshe Wasserblat
Fast DistilBERT on CPUs. CoRR (2022)
Ofir Zafrir, Ariel Larey, Guy Boudoukh, Haihao Shen, Moshe Wasserblat
Prune Once for All: Sparse Pre-Trained Language Models. CoRR (2021)
Vasudev Lal, Arden Ma, Estelle Aflalo, Phillip Howard, Ana Simoes, Daniel Korat, Oren Pereg, Gadi Singer, Moshe Wasserblat
InterpreT: An Interactive Visualization Tool for Interpreting Transformers. EACL (System Demonstrations) (2021)
Shira Guskin, Moshe Wasserblat, Ke Ding, Gyuwan Kim
Dynamic-TinyBERT: Boost TinyBERT's Inference Efficiency by Dynamic Sequence Length. CoRR (2021)
Moshe Wasserblat, Oren Pereg, Peter Izsak
Exploring the Boundaries of Low-Resource BERT Distillation. SustaiNLP@EMNLP (2020)
Oren Pereg, Daniel Korat, Moshe Wasserblat
Syntactically Aware Cross-Domain Aspect and Opinion Terms Extraction. COLING (2020)
Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Ido Dagan
Multi-Context Term Embeddings: the Use Case of Corpus-based Term Set Expansion. CoRR (2019)
Ofir Zafrir, Guy Boudoukh, Peter Izsak, Moshe Wasserblat
Q8BERT: Quantized 8Bit BERT. EMC2@NeurIPS (2019)
Peter Izsak, Shira Guskin, Moshe Wasserblat
Training Compact Models for Low Resource Entity Tagging using Pre-trained Language Models. CoRR (2019)
Peter Izsak, Shira Guskin, Moshe Wasserblat
Training Compact Models for Low Resource Entity Tagging using Pre-trained Language Models. EMC2@NeurIPS (2019)
Ofir Zafrir, Guy Boudoukh, Peter Izsak, Moshe Wasserblat
Q8BERT: Quantized 8Bit BERT. CoRR (2019)
Oren Pereg, Daniel Korat, Moshe Wasserblat, Jonathan Mamou, Ido Dagan
ABSApp: A Portable Weakly-Supervised Aspect-Based Sentiment Extraction System. EMNLP/IJCNLP (3) (2019)
Oren Pereg, Daniel Korat, Moshe Wasserblat, Jonathan Mamou, Ido Dagan
ABSApp: A Portable Weakly-Supervised Aspect-Based Sentiment Extraction System. CoRR (2019)
Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Alon Eirew, Yael Green, Shira Guskin, Peter Izsak, Daniel Korat
Term Set Expansion based NLP Architect by Intel AI Lab. CoRR (2018)
Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Ido Dagan, Yoav Goldberg, Alon Eirew, Yael Green, Shira Guskin, Peter Izsak, Daniel Korat
Term Set Expansion based on Multi-Context Term Embeddings: an End-to-end Workflow. CoRR (2018)
Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Alon Eirew, Yael Green, Shira Guskin, Peter Izsak, Daniel Korat
Term Set Expansion based NLP Architect by Intel AI Lab. EMNLP (Demonstration) (2018)
Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Ido Dagan, Yoav Goldberg, Alon Eirew, Yael Green, Shira Guskin, Peter Izsak, Daniel Korat
SetExpander: End-to-end Term Set Expansion Based on Multi-Context Term Embeddings. COLING (Demos) (2018)
Michel Assayag, Jonathan Huang, Jonathan Mamou, Oren Pereg, Saurav Sahay, Oren Shamir, Georg Stemmer, Moshe Wasserblat
Meeting assistant application. INTERSPEECH (2015)
Yaniv Zigel, Moshe Wasserblat
How to Deal with Multiple-Targets in Speaker Identification Systems? Odyssey (2006)
Moshe Wasserblat, Joseph Tabrikian
Underwater acoustic communications using a-priori statistics on channel time-variations. ICASSP (2000)