Underwater acoustic communications using a-priori statistics on channel time-variations. - Moshe Wasserblat; Joseph Tabrikian (ICASSP, 2000)

How to Deal with Multiple-Targets in Speaker Identification Systems? - Yaniv Zigel; Moshe Wasserblat (Odyssey, 2006)

Meeting assistant application. - Michel Assayag; Jonathan Huang; Jonathan Mamou; Oren Pereg; Saurav Sahay; Oren Shamir; Georg Stemmer; Moshe Wasserblat (INTERSPEECH, 2015)

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 (COLING (Demos), 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 (EMNLP (Demonstration), 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)

ABSApp: A Portable Weakly-Supervised Aspect-Based Sentiment Extraction System. - Oren Pereg; Daniel Korat; Moshe Wasserblat; Jonathan Mamou; Ido Dagan (EMNLP/IJCNLP (3), 2019)

Training Compact Models for Low Resource Entity Tagging using Pre-trained Language Models. - Peter Izsak; Shira Guskin; Moshe Wasserblat (EMC2@NeurIPS, 2019)

Q8BERT: Quantized 8Bit BERT. - Ofir Zafrir; Guy Boudoukh; Peter Izsak; Moshe Wasserblat (EMC2@NeurIPS, 2019)

Multi-Context Term Embeddings: the Use Case of Corpus-based Term Set Expansion. - Jonathan Mamou; Oren Pereg; Moshe Wasserblat; Ido Dagan (CoRR, 2019)

Syntactically Aware Cross-Domain Aspect and Opinion Terms Extraction. - Oren Pereg; Daniel Korat; Moshe Wasserblat (COLING, 2020)

Exploring the Boundaries of Low-Resource BERT Distillation. - Moshe Wasserblat; Oren Pereg; Peter Izsak (SustaiNLP@EMNLP, 2020)

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 (EACL (System Demonstrations), 2021)

Prune Once for All: Sparse Pre-Trained Language Models. - Ofir Zafrir; Ariel Larey; Guy Boudoukh; Haihao Shen; Moshe Wasserblat (CoRR, 2021)

Dynamic-TinyBERT: Boost TinyBERT's Inference Efficiency by Dynamic Sequence Length. - Shira Guskin; Moshe Wasserblat; Ke Ding; Gyuwan Kim (CoRR, 2021)

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 (CIKM, 2022)

Opinion-based Relational Pivoting for Cross-domain Aspect Term Extraction. - Ayal Klein; Oren Pereg; Daniel Korat; Vasudev Lal; Moshe Wasserblat; Ido Dagan (WASSA@ACL, 2022)

TangoBERT: Reducing Inference Cost by using Cascaded Architecture. - Jonathan Mamou; Oren Pereg; Moshe Wasserblat; Roy Schwartz 001 (CoRR, 2022)

Efficient Few-Shot Learning Without Prompts. - Lewis Tunstall; Nils Reimers 003; Unso Eun Seo Jo; Luke Bates; Daniel Korat; Moshe Wasserblat; Oren Pereg (CoRR, 2022)

QuaLA-MiniLM: a Quantized Length Adaptive MiniLM. - Shira Guskin; Moshe Wasserblat; Chang Wang; Haihao Shen (CoRR, 2022)

Fast DistilBERT on CPUs. - Haihao Shen; Ofir Zafrir; Bo Dong 001; Hengyu Meng; Xinyu Ye; Zhe Wang 027; Yi Ding; Hanwen Chang; Guy Boudoukh; Moshe Wasserblat (CoRR, 2022)

Optimizing Retrieval-augmented Reader Models via Token Elimination. - Moshe Berchansky; Peter Izsak; Avi Caciularu; Ido Dagan; Moshe Wasserblat (EMNLP, 2023)

An Efficient Sparse Inference Software Accelerator for Transformer-based Language Models on CPUs. - Haihao Shen; Hengyu Meng; Bo Dong 001; Zhe Wang 027; Ofir Zafrir; Yi Ding; Yu Luo; Hanwen Chang; Qun Gao; Ziheng Wang; Guy Boudoukh; Moshe Wasserblat (CoRR, 2023)

CoTAR: Chain-of-Thought Attribution Reasoning with Multi-level Granularity. - Moshe Berchansky; Daniel Fleischer; Moshe Wasserblat; Peter Izsak (EMNLP (Findings), 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 001 (ENLSP, 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 (ENLSP, 2024)

Accelerating Speculative Decoding using Dynamic Speculation Length. - Jonathan Mamou; Oren Pereg; Daniel Korat; Moshe Berchansky; Nadav Timor; Moshe Wasserblat; Roy Schwartz 001 (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)

RAG Foundry: A Framework for Enhancing LLMs for Retrieval Augmented Generation. - Daniel Fleischer; Moshe Berchansky; Moshe Wasserblat; Peter Izsak (CoRR, 2024)

HELMET: How to Evaluate Long-Context Language Models Effectively and Thoroughly. - Howard Yen; Tianyu Gao 001; Minmin Hou; Ke Ding; Daniel Fleischer; Peter Izsak; Moshe Wasserblat; Danqi Chen 001 (CoRR, 2024)

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 (ICLR, 2025)

HELMET: How to Evaluate Long-context Models Effectively and Thoroughly. - Howard Yen; Tianyu Gao 001; Minmin Hou; Ke Ding; Daniel Fleischer; Peter Izsak; Moshe Wasserblat; Danqi Chen 001 (ICLR, 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 001; Moshe Wasserblat; David Harel (CoRR, 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, 2025)