Leshem Choshen
Leshem Choshen
MIT, IBM AI research
Verified email at - Homepage
Cited by
Cited by
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
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
: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering
O Honovich, L Choshen, R Aharoni, E Neeman, I Szpektor, O Abend
arXiv preprint arXiv:2104.08202, 2021
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
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
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
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
On the weaknesses of reinforcement learning for neural machine translation
L Choshen, L Fox, Z Aizenbud, O Abend
arXiv preprint arXiv:1907.01752, 2019
Dora the explorer: Directed outreaching reinforcement action-selection
L Choshen, L Fox, Y Loewenstein
arXiv preprint arXiv:1804.04012, 2018
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
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
Fusing finetuned models for better pretraining
L Choshen, E Venezian, N Slonim, Y Katz
arXiv preprint arXiv:2204.03044, 2022
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
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
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
Reference-less measure of faithfulness for grammatical error correction
L Choshen, O Abend
arXiv preprint arXiv:1804.03824, 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
Jump to Conclusions: Short-Cutting Transformers With Linear Transformations
A Yom Din, T Karidi, L Choshen, M Geva
arXiv e-prints, arXiv: 2303.09435, 2023
Disentqa: Disentangling parametric and contextual knowledge with counterfactual question answering
E Neeman, R Aharoni, O Honovich, L Choshen, I Szpektor, O Abend
arXiv preprint arXiv:2211.05655, 2022
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
The system can't perform the operation now. Try again later.
Articles 1–20