Active learning for BERT: an empirical study LE Dor, A Halfon, A Gera, E Shnarch, L Dankin, L Choshen, M Danilevsky, ...
Proceedings of the 2020 conference on empirical methods in natural language …, 2020
197 2020 An autonomous debating system N Slonim, Y Bilu, C Alzate, R Bar-Haim, B Bogin, F Bonin, L Choshen, ...
Nature 591 (7850), 379-384, 2021
191 2021 : Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question AnsweringO Honovich, L Choshen, R Aharoni, E Neeman, I Szpektor, O Abend
arXiv preprint arXiv:2104.08202, 2021
140 2021 Are you convinced? choosing the more convincing evidence with a Siamese network M Gleize, E Shnarch, L Choshen, L Dankin, G Moshkowich, R Aharonov, ...
arXiv preprint arXiv:1907.08971, 2019
81 2019 Will it blend? blending weak and strong labeled data in a neural network for argumentation mining E Shnarch, C Alzate, L Dankin, M Gleize, Y Hou, L Choshen, R Aharonov, ...
Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018
78 2018 Corpus wide argument mining—a working solution L Ein-Dor, E Shnarch, L Dankin, A Halfon, B Sznajder, A Gera, C Alzate, ...
Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 7683-7691, 2020
70 2020 On the weaknesses of reinforcement learning for neural machine translation L Choshen, L Fox, Z Aizenbud, O Abend
arXiv preprint arXiv:1907.01752, 2019
67 2019 Dora the explorer: Directed outreaching reinforcement action-selection L Choshen, L Fox, Y Loewenstein
arXiv preprint arXiv:1804.04012, 2018
67 2018 Ties-merging: Resolving interference when merging models P Yadav, D Tam, L Choshen, CA Raffel, M Bansal
Advances in Neural Information Processing Systems 36, 2024
57 * 2024 Let’s agree to agree: Neural networks share classification order on real datasets G Hacohen, L Choshen, D Weinshall
International Conference on Machine Learning, 3950-3960, 2020
50 2020 SemEval-2019 task 1: Cross-lingual semantic parsing with UCCA D Hershcovich, Z Aizenbud, L Choshen, E Sulem, A Rappoport, O Abend
arXiv preprint arXiv:1903.02953, 2019
40 2019 Learning to combine grammatical error corrections Y Kantor, Y Katz, L Choshen, E Cohen-Karlik, N Liberman, A Toledo, ...
arXiv preprint arXiv:1906.03897, 2019
39 2019 Fusing finetuned models for better pretraining L Choshen, E Venezian, N Slonim, Y Katz
arXiv preprint arXiv:2204.03044, 2022
38 2022 Findings of the BabyLM Challenge: Sample-efficient pretraining on developmentally plausible corpora A Warstadt, A Mueller, L Choshen, E Wilcox, C Zhuang, J Ciro, ...
Proceedings of the BabyLM Challenge at the 27th Conference on Computational …, 2023
35 2023 Reference-less measure of faithfulness for grammatical error correction L Choshen, O Abend
arXiv preprint arXiv:1804.03824, 2018
34 2018 Inherent Biases in Reference based Evaluation for Grammatical Error Correction and Text Simplification L Choshen, O Abend
Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018
33 2018 The language of legal and illegal activity on the Darknet L Choshen, D Eldad, D Hershcovich, E Sulem, O Abend
arXiv preprint arXiv:1905.05543, 2019
30 2019 Call for Papers--The BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus A Warstadt, L Choshen, A Mueller, A Williams, E Wilcox, C Zhuang
arXiv preprint arXiv:2301.11796, 2023
27 2023 Cold fusion: Collaborative descent for distributed multitask finetuning S Don-Yehiya, E Venezian, C Raffel, N Slonim, Y Katz, L Choshen
arXiv preprint arXiv:2212.01378, 2022
26 2022 Automatic metric validation for grammatical error correction L Choshen, O Abend
arXiv preprint arXiv:1804.11225, 2018
26 2018