Moshe Wasserblat

42 papers A* 4A 2B 1Misc 1Journal 22Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Accelerating LLM Inference with Lossless Speculative Decoding Algorithms for Heterogeneous Vocabularies. ICML Nadav Timor, Jonathan Mamou, Daniel Korat, Moshe Berchansky, Gaurav Jain, Oren Pereg, Moshe Wasserblat, David Harel
2025	J	`jnl`	Accelerating LLM Inference with Lossless Speculative Decoding Algorithms for Heterogeneous Vocabularies. CoRR Nadav Timor, Jonathan Mamou, Daniel Korat, Moshe Berchansky, Oren Pereg, Gaurav Jain, Roy Schwartz, Moshe Wasserblat, David Harel
2025	A*	`conf`	Distributed Speculative Inference (DSI): Speculation Parallelism for Provably Faster Lossless Language Model Inference. ICLR Nadav Timor, Jonathan Mamou, Daniel Korat, Moshe Berchansky, Oren Pereg, Moshe Wasserblat, Tomer Galanti, Michal Gordon-Kiwkowitz, David Harel
2025	A*	`conf`	HELMET: How to Evaluate Long-context Models Effectively and Thoroughly. ICLR Howard Yen, Tianyu Gao, Minmin Hou, Ke Ding, Daniel Fleischer, Peter Izsak, Moshe Wasserblat, Danqi Chen
2025	J	`jnl`	SQuARE: Sequential Question Answering Reasoning Engine for Enhanced Chain-of-Thought in Large Language Models. CoRR Daniel Fleischer, Moshe Berchansky, Gad Markovits, Moshe Wasserblat
2024	J	`jnl`	Accelerating Speculative Decoding using Dynamic Speculation Length. CoRR Jonathan Mamou, Oren Pereg, Daniel Korat, Moshe Berchansky, Nadav Timor, Moshe Wasserblat, Roy Schwartz
2024	—	`conf`	CoTAR: Chain-of-Thought Attribution Reasoning with Multi-level Granularity. EMNLP (Findings) Moshe Berchansky, Daniel Fleischer, Moshe Wasserblat, Peter Izsak
2024	J	`jnl`	CoTAR: Chain-of-Thought Attribution Reasoning with Multi-level Granularity. CoRR Moshe Berchansky, Daniel Fleischer, Moshe Wasserblat, Peter Izsak
2024	—	`conf`	Distributed Speculative Inference of Large Language Models is Provably Faster. ENLSP Nadav Timor, Jonathan Mamou, Oren Pereg, Moshe Berchansky, Daniel Korat, Moshe Wasserblat, Tomer Galanti, Michal Gordon, David Harel
2024	J	`jnl`	Distributed Speculative Inference of Large Language Models. CoRR Nadav Timor, Jonathan Mamou, Daniel Korat, Moshe Berchansky, Oren Pereg, Moshe Wasserblat, Tomer Galanti, Michal Gordon, David Harel
2024	—	`conf`	Dynamic Speculation Lookahead Accelerates Speculative Decoding of Large Language Models. ENLSP Jonathan Mamou, Oren Pereg, Daniel Korat, Moshe Berchansky, Nadav Timor, Moshe Wasserblat, Roy Schwartz
2024	J	`jnl`	HELMET: How to Evaluate Long-Context Language Models Effectively and Thoroughly. CoRR Howard Yen, Tianyu Gao, Minmin Hou, Ke Ding, Daniel Fleischer, Peter Izsak, Moshe Wasserblat, Danqi Chen
2024	J	`jnl`	RAG Foundry: A Framework for Enhancing LLMs for Retrieval Augmented Generation. CoRR Daniel Fleischer, Moshe Berchansky, Moshe Wasserblat, Peter Izsak
2023	J	`jnl`	An Efficient Sparse Inference Software Accelerator for Transformer-based Language Models on CPUs. CoRR Haihao Shen, Hengyu Meng, Bo Dong, Zhe Wang, Ofir Zafrir, Yi Ding, Yu Luo, Hanwen Chang, Qun Gao, Ziheng Wang, Guy Boudoukh, Moshe Wasserblat
2023	A*	`conf`	Optimizing Retrieval-augmented Reader Models via Token Elimination. EMNLP Moshe Berchansky, Peter Izsak, Avi Caciularu, Ido Dagan, Moshe Wasserblat
2023	J	`jnl`	Optimizing Retrieval-augmented Reader Models via Token Elimination. CoRR Moshe Berchansky, Peter Izsak, Avi Caciularu, Ido Dagan, Moshe Wasserblat
2022	A	`conf`	Cross-Domain Aspect Extraction using Transformers Augmented with Knowledge Graphs. CIKM Phillip Howard, Arden Ma, Vasudev Lal, Ana Paula Simões, Daniel Korat, Oren Pereg, Moshe Wasserblat, Gadi Singer
2022	J	`jnl`	Cross-Domain Aspect Extraction using Transformers Augmented with Knowledge Graphs. CoRR Phillip Howard, Arden Ma, Vasudev Lal, Ana Paula Simões, Daniel Korat, Oren Pereg, Moshe Wasserblat, Gadi Singer
2022	J	`jnl`	Efficient Few-Shot Learning Without Prompts. CoRR Lewis Tunstall, Nils Reimers, Unso Eun Seo Jo, Luke Bates, Daniel Korat, Moshe Wasserblat, Oren Pereg
2022	J	`jnl`	Fast DistilBERT on CPUs. CoRR Haihao Shen, Ofir Zafrir, Bo Dong, Hengyu Meng, Xinyu Ye, Zhe Wang, Yi Ding, Hanwen Chang, Guy Boudoukh, Moshe Wasserblat
2022	—	`conf`	Opinion-based Relational Pivoting for Cross-domain Aspect Term Extraction. WASSA@ACL Ayal Klein, Oren Pereg, Daniel Korat, Vasudev Lal, Moshe Wasserblat, Ido Dagan
2022	J	`jnl`	QuaLA-MiniLM: a Quantized Length Adaptive MiniLM. CoRR Shira Guskin, Moshe Wasserblat, Chang Wang, Haihao Shen
2022	J	`jnl`	TangoBERT: Reducing Inference Cost by using Cascaded Architecture. CoRR Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Roy Schwartz
2021	J	`jnl`	Dynamic-TinyBERT: Boost TinyBERT's Inference Efficiency by Dynamic Sequence Length. CoRR Shira Guskin, Moshe Wasserblat, Ke Ding, Gyuwan Kim
2021	—	`conf`	InterpreT: An Interactive Visualization Tool for Interpreting Transformers. EACL (System Demonstrations) Vasudev Lal, Arden Ma, Estelle Aflalo, Phillip Howard, Ana Paula Simões, Daniel Korat, Oren Pereg, Gadi Singer, Moshe Wasserblat
2021	J	`jnl`	Prune Once for All: Sparse Pre-Trained Language Models. CoRR Ofir Zafrir, Ariel Larey, Guy Boudoukh, Haihao Shen, Moshe Wasserblat
2020	—	`conf`	Exploring the Boundaries of Low-Resource BERT Distillation. SustaiNLP@EMNLP Moshe Wasserblat, Oren Pereg, Peter Izsak
2020	B	`conf`	Syntactically Aware Cross-Domain Aspect and Opinion Terms Extraction. COLING Oren Pereg, Daniel Korat, Moshe Wasserblat
2019	—	`conf`	ABSApp: A Portable Weakly-Supervised Aspect-Based Sentiment Extraction System. EMNLP/IJCNLP (3) Oren Pereg, Daniel Korat, Moshe Wasserblat, Jonathan Mamou, Ido Dagan
2019	J	`jnl`	ABSApp: A Portable Weakly-Supervised Aspect-Based Sentiment Extraction System. CoRR Oren Pereg, Daniel Korat, Moshe Wasserblat, Jonathan Mamou, Ido Dagan
2019	J	`jnl`	Multi-Context Term Embeddings: the Use Case of Corpus-based Term Set Expansion. CoRR Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Ido Dagan
2019	—	`conf`	Q8BERT: Quantized 8Bit BERT. EMC2@NeurIPS Ofir Zafrir, Guy Boudoukh, Peter Izsak, Moshe Wasserblat
2019	J	`jnl`	Q8BERT: Quantized 8Bit BERT. CoRR Ofir Zafrir, Guy Boudoukh, Peter Izsak, Moshe Wasserblat
2019	—	`conf`	Training Compact Models for Low Resource Entity Tagging using Pre-trained Language Models. EMC2@NeurIPS Peter Izsak, Shira Guskin, Moshe Wasserblat
2019	J	`jnl`	Training Compact Models for Low Resource Entity Tagging using Pre-trained Language Models. CoRR Peter Izsak, Shira Guskin, Moshe Wasserblat
2018	—	`conf`	SetExpander: End-to-end Term Set Expansion Based on Multi-Context Term Embeddings. COLING (Demos) Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Ido Dagan, Yoav Goldberg, Alon Eirew, Yael Green, Shira Guskin, Peter Izsak, Daniel Korat
2018	—	`conf`	Term Set Expansion based NLP Architect by Intel AI Lab. EMNLP (Demonstration) Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Alon Eirew, Yael Green, Shira Guskin, Peter Izsak, Daniel Korat
2018	J	`jnl`	Term Set Expansion based NLP Architect by Intel AI Lab. CoRR Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Alon Eirew, Yael Green, Shira Guskin, Peter Izsak, Daniel Korat
2018	J	`jnl`	Term Set Expansion based on Multi-Context Term Embeddings: an End-to-end Workflow. CoRR Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Ido Dagan, Yoav Goldberg, Alon Eirew, Yael Green, Shira Guskin, Peter Izsak, Daniel Korat
2015	A	`conf`	Meeting assistant application. INTERSPEECH Michel Assayag, Jonathan Huang, Jonathan Mamou, Oren Pereg, Saurav Sahay, Oren Shamir, Georg Stemmer, Moshe Wasserblat
2006	—	`conf`	How to Deal with Multiple-Targets in Speaker Identification Systems? Odyssey Yaniv Zigel, Moshe Wasserblat
2000	Misc	`conf`	Underwater acoustic communications using a-priori statistics on channel time-variations. ICASSP Moshe Wasserblat, Joseph Tabrikian