| Efficient few-shot learning without prompts L Tunstall, N Reimers, UES Jo, L Bates, D Korat, M Wasserblat, O Pereg arXiv preprint arXiv:2209.11055, 2022 | 132 | 2022 |
| Term Set Expansion based NLP Architect by Intel AI Lab J Mamou, O Pereg, M Wasserblat, A Eirew, Y Green, S Guskin, P Izsak, ... Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 29 | 2018 |
| Syntactically aware cross-domain aspect and opinion terms extraction O Pereg, D Korat, M Wasserblat Proceedings of the 28th international conference on computational …, 2020 | 28 | 2020 |
| ABSApp: A Portable Weakly-Supervised Aspect-Based Sentiment Extraction System O Pereg, D Korat, M Wasserblat, J Mamou, I Dagan Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 19 | 2019 |
| InterpreT: An interactive visualization tool for interpreting transformers V Lal, A Ma, E Aflalo, P Howard, A Simoes, D Korat, O Pereg, G Singer, ... Proceedings of the 16th Conference of the European Chapter of the …, 2021 | 18 | 2021 |
| SetExpander: End-to-end Term Set Expansion Based on Multi-Context Term Embeddings J Mamou, O Pereg, M Wasserblat, I Dagan, Y Goldberg, A Eirew, Y Green, ... Proceedings of the 27th International Conference on Computational …, 2018 | 15* | 2018 |
| Opinion-based relational pivoting for cross-domain aspect term extraction A Klein, O Pereg, D Korat, V Lal, M Wasserblat, I Dagan Proceedings of the 12th workshop on computational approaches to subjectivity …, 2022 | 12 | 2022 |
| Cross-domain aspect extraction using transformers augmented with knowledge graphs P Howard, A Ma, V Lal, AP Simoes, D Korat, O Pereg, M Wasserblat, ... Proceedings of the 31st acm international conference on information …, 2022 | 9 | 2022 |
| Efficient few-shot learning without prompts (2022) L Tunstall, N Reimers, UES Jo, L Bates, D Korat, M Wasserblat, O Pereg URL https://arxiv. org/abs/2209.11055, 0 | 5 | |
| Accelerating Speculative Decoding using Dynamic Speculation Length J Mamou, O Pereg, D Korat, M Berchansky, N Timor, M Wasserblat, ... arXiv preprint arXiv:2405.04304, 2024 | 1 | 2024 |
| Distributed Speculative Inference of Large Language Models N Timor, J Mamou, D Korat, M Berchansky, O Pereg, M Wasserblat, ... arXiv preprint arXiv:2405.14105, 2024 | | 2024 |
| Aspect Based Sentiment Analysis in Low-Resource Settings D Korat Reichman University, Herzliya, 2022 | | 2022 |
| Methods and apparatus for a knowledge-based deep learning refactoring model with tightly integrated functional nonparametric memory G Singer, N Hakim, P Howard, D Korat, LAL Vasudev, A Ma, E Norden, ... US Patent App. 17/549,645, 2022 | | 2022 |
| Few-Shot Aspect Extraction using Prompt Training D Korat, O Pereg, M Wasserblat, K Bar Advances in Neural Information Processing Systems 35 (NeurIPS 2022), 2022 | | 2022 |
| 3D Neural Network for Lung Cancer Risk Prediction on CT Volumes D Korat arXiv preprint arXiv:2007.12898, 2020 | | 2020 |
