Daniel Korat

According to our database, Daniel Korat authored at least 12 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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

Accelerating Speculative Decoding using Dynamic Speculation Length.

Jonathan Mamou, Oren Pereg, Daniel Korat, Moshe Berchansky, Nadav Timor, Moshe Wasserblat, Roy Schwartz

CoRR, 2024

2022

Efficient Few-Shot Learning Without Prompts.

Lewis Tunstall, Nils Reimers, Unso Eun Seo Jo, Luke Bates, Daniel Korat, Moshe Wasserblat, Oren Pereg

CoRR, 2022

Opinion-based Relational Pivoting for Cross-domain Aspect Term Extraction.

Ayal Klein, Oren Pereg, Daniel Korat, Vasudev Lal, Moshe Wasserblat, Ido Dagan

Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, 2022

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

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

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

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, 2021

2020

3D Neural Network for Lung Cancer Risk Prediction on CT Volumes.

Daniel Korat

CoRR, 2020

Syntactically Aware Cross-Domain Aspect and Opinion Terms Extraction.

Oren Pereg, Daniel Korat, Moshe Wasserblat

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

ABSApp: A Portable Weakly-Supervised Aspect-Based Sentiment Extraction System.

Oren Pereg, Daniel Korat, Moshe Wasserblat, Jonathan Mamou, Ido Dagan

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

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

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

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018

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

Proceedings of the COLING 2018, 2018