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ORCIDMoshe Wasserblat
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2020 – today
- 2024
[c15]Moshe Berchansky, Daniel Fleischer, Moshe Wasserblat, Peter Izsak:
CoTAR: Chain-of-Thought Attribution Reasoning with Multi-level Granularity. EMNLP (Findings) 2024: 236-246- [i20]Moshe Berchansky, Daniel Fleischer, Moshe Wasserblat, Peter Izsak:
CoTAR: Chain-of-Thought Attribution Reasoning with Multi-level Granularity. CoRR abs/2404.10513 (2024) - [i19]Jonathan Mamou, Oren Pereg, Daniel Korat, Moshe Berchansky, Nadav Timor, Moshe Wasserblat, Roy Schwartz:
Accelerating Speculative Decoding using Dynamic Speculation Length. CoRR abs/2405.04304 (2024) - [i18]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 abs/2405.14105 (2024) - [i17]Daniel Fleischer, Moshe Berchansky, Moshe Wasserblat, Peter Izsak:
RAG Foundry: A Framework for Enhancing LLMs for Retrieval Augmented Generation. CoRR abs/2408.02545 (2024) - [i16]Howard Yen, Tianyu Gao, Minmin Hou, Ke Ding, Daniel Fleischer, Peter Izsak, Moshe Wasserblat, Danqi Chen:
HELMET: How to Evaluate Long-Context Language Models Effectively and Thoroughly. CoRR abs/2410.02694 (2024) - 2023
- [c14]Moshe Berchansky, Peter Izsak, Avi Caciularu, Ido Dagan, Moshe Wasserblat:
Optimizing Retrieval-augmented Reader Models via Token Elimination. EMNLP 2023: 1506-1524 - [i15]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 abs/2306.16601 (2023) - [i14]Moshe Berchansky, Peter Izsak, Avi Caciularu, Ido Dagan, Moshe Wasserblat:
Optimizing Retrieval-augmented Reader Models via Token Elimination. CoRR abs/2310.13682 (2023) - 2022
- [c13]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. CIKM 2022: 780-790 - [c12]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: 104-112 - [i13]Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Roy Schwartz:
TangoBERT: Reducing Inference Cost by using Cascaded Architecture. CoRR abs/2204.06271 (2022) - [i12]Lewis Tunstall, Nils Reimers, Unso Eun Seo Jo, Luke Bates, Daniel Korat, Moshe Wasserblat, Oren Pereg:
Efficient Few-Shot Learning Without Prompts. CoRR abs/2209.11055 (2022) - [i11]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 abs/2210.10144 (2022) - [i10]Shira Guskin, Moshe Wasserblat, Chang Wang, Haihao Shen:
QuaLA-MiniLM: a Quantized Length Adaptive MiniLM. CoRR abs/2210.17114 (2022) - [i9]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 abs/2211.07715 (2022) - 2021
- [c11]Vasudev Lal, Arden Ma, Estelle Aflalo, Phillip Howard, Ana Paula Simões, Daniel Korat, Oren Pereg, Gadi Singer, Moshe Wasserblat:
InterpreT: An Interactive Visualization Tool for Interpreting Transformers. EACL (System Demonstrations) 2021: 135-142 - [i8]Ofir Zafrir, Ariel Larey, Guy Boudoukh, Haihao Shen, Moshe Wasserblat:
Prune Once for All: Sparse Pre-Trained Language Models. CoRR abs/2111.05754 (2021) - [i7]Shira Guskin, Moshe Wasserblat, Ke Ding, Gyuwan Kim:
Dynamic-TinyBERT: Boost TinyBERT's Inference Efficiency by Dynamic Sequence Length. CoRR abs/2111.09645 (2021) - 2020
- [c10]Oren Pereg, Daniel Korat, Moshe Wasserblat:
Syntactically Aware Cross-Domain Aspect and Opinion Terms Extraction. COLING 2020: 1772-1777 - [c9]Moshe Wasserblat, Oren Pereg, Peter Izsak:
Exploring the Boundaries of Low-Resource BERT Distillation. SustaiNLP@EMNLP 2020: 35-40
2010 – 2019
- 2019
- [c8]Oren Pereg, Daniel Korat, Moshe Wasserblat, Jonathan Mamou, Ido Dagan:
ABSApp: A Portable Weakly-Supervised Aspect-Based Sentiment Extraction System. EMNLP/IJCNLP (3) 2019: 1-6 - [c7]Ofir Zafrir, Guy Boudoukh, Peter Izsak, Moshe Wasserblat:
Q8BERT: Quantized 8Bit BERT. EMC2@NeurIPS 2019: 36-39 - [c6]Peter Izsak, Shira Guskin, Moshe Wasserblat:
Training Compact Models for Low Resource Entity Tagging using Pre-trained Language Models. EMC2@NeurIPS 2019: 44-47 - [i6]Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Ido Dagan:
Multi-Context Term Embeddings: the Use Case of Corpus-based Term Set Expansion. CoRR abs/1904.02496 (2019) - [i5]Oren Pereg, Daniel Korat, Moshe Wasserblat, Jonathan Mamou, Ido Dagan:
ABSApp: A Portable Weakly-Supervised Aspect-Based Sentiment Extraction System. CoRR abs/1909.05608 (2019) - [i4]Ofir Zafrir, Guy Boudoukh, Peter Izsak, Moshe Wasserblat:
Q8BERT: Quantized 8Bit BERT. CoRR abs/1910.06188 (2019) - [i3]Peter Izsak, Shira Guskin, Moshe Wasserblat:
Training Compact Models for Low Resource Entity Tagging using Pre-trained Language Models. CoRR abs/1910.06294 (2019) - 2018
- [c5]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: 58-62 - [c4]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: 19-24 - [i2]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 abs/1807.10104 (2018) - [i1]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 abs/1808.08953 (2018) - 2015
- [c3]Michel Assayag, Jonathan Huang, Jonathan Mamou, Oren Pereg, Saurav Sahay, Oren Shamir, Georg Stemmer, Moshe Wasserblat:
Meeting assistant application. INTERSPEECH 2015: 734-735
2000 – 2009
- 2006
- [c2]Yaniv Zigel
, Moshe Wasserblat:
How to Deal with Multiple-Targets in Speaker Identification Systems? Odyssey 2006: 1-7 - 2000
- [c1]Moshe Wasserblat, Joseph Tabrikian:
Underwater acoustic communications using a-priori statistics on channel time-variations. ICASSP 2000: 2689-2692
Coauthor Index
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