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)

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)

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)

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)

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)

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)

Out-of-Vocabulary Sampling Boosts Speculative Decoding. - Nadav Timor; Jonathan Mamou; Oren Pereg; Hongyang Zhang; David Harel (CoRR, 2025)