Leshem Choshen

According to our database, Leshem Choshen authored at least 57 papers between 2018 and 2024.

Collaborative distances:

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

2024

Asymmetry in Low-Rank Adapters of Foundation Models.

Jiacheng Zhu, Kristjan H. Greenewald, Kimia Nadjahi, Haitz Sáez de Ocáriz Borde, Rickard Brüel Gabrielsson, Leshem Choshen, Marzyeh Ghassemi, Mikhail Yurochkin, Justin Solomon

CoRR, 2024

tinyBenchmarks: evaluating LLMs with fewer examples.

Felipe Maia Polo, Lucas Weber, Leshem Choshen, Yuekai Sun, Gongjun Xu, Mikhail Yurochkin

CoRR, 2024

Label-Efficient Model Selection for Text Generation.

Shir Ashury-Tahan, Benjamin Sznajder, Leshem Choshen, Liat Ein-Dor, Eyal Shnarch, Ariel Gera

CoRR, 2024

Genie: Achieving Human Parity in Content-Grounded Datasets Generation.

Asaf Yehudai, Boaz Carmeli, Yosi Mass, Ofir Arviv, Nathaniel Mills, Assaf Toledo, Eyal Shnarch, Leshem Choshen

CoRR, 2024

Unitxt: Flexible, Shareable and Reusable Data Preparation and Evaluation for Generative AI.

Elron Bandel, Yotam Perlitz, Elad Venezian, Roni Friedman-Melamed, Ofir Arviv, Matan Orbach, Shachar Don-Yehiya, Dafna Sheinwald, Ariel Gera, Leshem Choshen, Michal Shmueli-Scheuer, Yoav Katz

CoRR, 2024

Deductive Closure Training of Language Models for Coherence, Accuracy, and Updatability.

Afra Feyza Akyürek, Ekin Akyürek, Leshem Choshen, Derry Wijaya, Jacob Andreas

CoRR, 2024

2023

ComPEFT: Compression for Communicating Parameter Efficient Updates via Sparsification and Quantization.

Prateek Yadav, Leshem Choshen, Colin Raffel, Mohit Bansal

CoRR, 2023

Fuse to Forget: Bias Reduction and Selective Memorization through Model Fusion.

Kerem Zaman, Leshem Choshen, Shashank Srivastava

CoRR, 2023

Efficient Benchmarking (of Language Models).

Yotam Perlitz, Elron Bandel, Ariel Gera, Ofir Arviv, Liat Ein-Dor, Eyal Shnarch, Noam Slonim, Michal Shmueli-Scheuer, Leshem Choshen

CoRR, 2023

Resolving Interference When Merging Models.

Prateek Yadav, Derek Tam, Leshem Choshen, Colin Raffel, Mohit Bansal

CoRR, 2023

Jump to Conclusions: Short-Cutting Transformers With Linear Transformations.

Alexander Yom Din, Taelin Karidi, Leshem Choshen, Mor Geva

CoRR, 2023

Call for Papers - The BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus.

Alex Warstadt, Leshem Choshen, Aaron Mueller, Adina Williams, Ethan Wilcox, Chengxu Zhuang

CoRR, 2023

TIES-Merging: Resolving Interference When Merging Models.

Prateek Yadav, Derek Tam, Leshem Choshen, Colin A. Raffel, Mohit Bansal

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Knowledge is a Region in Weight Space for Fine-tuned Language Models.

Almog Gueta, Elad Venezian, Colin Raffel, Noam Slonim, Yoav Katz, Leshem Choshen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Human Learning by Model Feedback: The Dynamics of Iterative Prompting with Midjourney.

Shachar Don-Yehiya, Leshem Choshen, Omri Abend

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Where to start? Analyzing the potential value of intermediate models.

Leshem Choshen, Elad Venezian, Shachar Don-Yehiya, Noam Slonim, Yoav Katz

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

MuLER: Detailed and Scalable Reference-based Evaluation.

Taelin Karidi, Leshem Choshen, Gal Patel, Omri Abend

Proceedings of the 27th Conference on Computational Natural Language Learning, 2023

DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question Answering.

Ella Neeman, Roee Aharoni, Or Honovich, Leshem Choshen, Idan Szpektor, Omri Abend

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning.

Shachar Don-Yehiya, Elad Venezian, Colin Raffel, Noam Slonim, Leshem Choshen

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning.

Shachar Don-Yehiya, Elad Venezian, Colin Raffel, Noam Slonim, Yoav Katz, Leshem Choshen

CoRR, 2022

Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours.

Eyal Shnarch, Alon Halfon, Ariel Gera, Marina Danilevsky, Yannis Katsis, Leshem Choshen, Martín Santillán Cooper, Dina Epelboim, Zheng Zhang, Dakuo Wang, Lucy Yip, Liat Ein-Dor, Lena Dankin, Ilya Shnayderman, Ranit Aharonov, Yunyao Li, Naftali Liberman, Philip Levin Slesarev, Gwilym Newton, Shila Ofek-Koifman, Noam Slonim, Yoav Katz

CoRR, 2022

Some Grammatical Errors are Frequent, Others are Important.

Leshem Choshen, Ofir Shifman, Omri Abend

CoRR, 2022

Fusing finetuned models for better pretraining.

Leshem Choshen, Elad Venezian, Noam Slonim, Yoav Katz

CoRR, 2022

Semantics-aware Attention Improves Neural Machine Translation.

Aviv Slobodkin, Leshem Choshen, Omri Abend

Proceedings of the 11th Joint Conference on Lexical and Computational Semantics, 2022

GrASP: A Library for Extracting and Exploring Human-Interpretable Textual Patterns.

Piyawat Lertvittayakumjorn, Leshem Choshen, Eyal Shnarch, Francesca Toni

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours.

Eyal Shnarch, Alon Halfon, Ariel Gera, Marina Danilevsky, Yannis Katsis, Leshem Choshen, Martín Santillán Cooper, Dina Epelboim, Zheng Zhang, Dakuo Wang

Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

PreQuEL: Quality Estimation of Machine Translation Outputs in Advance.

Shachar Don-Yehiya, Leshem Choshen, Omri Abend

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

On Neurons Invariant to Sentence Structural Changes in Neural Machine Translation.

Gal Patel, Leshem Choshen, Omri Abend

Proceedings of the 26th Conference on Computational Natural Language Learning, 2022

Enhancing the Transformer Decoder with Transition-based Syntax.

Leshem Choshen, Omri Abend

Proceedings of the 26th Conference on Computational Natural Language Learning, 2022

Reinforcement Learning with Large Action Spaces for Neural Machine Translation.

Asaf Yehudai, Leshem Choshen, Lior Fox, Omri Abend

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Cluster & Tune: Boost Cold Start Performance in Text Classification.

Eyal Shnarch, Ariel Gera, Alon Halfon, Lena Dankin, Leshem Choshen, Ranit Aharonov, Noam Slonim

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

The Grammar-Learning Trajectories of Neural Language Models.

Leshem Choshen, Guy Hacohen, Daphna Weinshall, Omri Abend

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

An autonomous debating system.

Noam Slonim, Yonatan Bilu, Carlos Alzate, Roy Bar-Haim, Ben Bogin, Francesca Bonin, Leshem Choshen, Edo Cohen-Karlik, Lena Dankin, Lilach Edelstein, Liat Ein-Dor, Roni Friedman-Melamed, Assaf Gavron, Ariel Gera, Martin Gleize, Shai Gretz, Dan Gutfreund, Alon Halfon, Daniel Hershcovich, Ron Hoory, Yufang Hou, Shay Hummel, Michal Jacovi, Charles Jochim, Yoav Kantor, Yoav Katz, David Konopnicki, Zvi Kons, Lili Kotlerman, Dalia Krieger, Dan Lahav, Tamar Lavee, Ran Levy, Naftali Liberman, Yosi Mass, Amir Menczel, Shachar Mirkin, Guy Moshkowich, Shila Ofek-Koifman, Matan Orbach, Ella Rabinovich, Ruty Rinott, Slava Shechtman, Dafna Sheinwald, Eyal Shnarch, Ilya Shnayderman, Aya Soffer, Artem Spector, Benjamin Sznajder, Assaf Toledo, Orith Toledo-Ronen, Elad Venezian, Ranit Aharonov

Nat., 2021

ComSum: Commit Messages Summarization and Meaning Preservation.

Leshem Choshen, Idan Amit

CoRR, 2021

Part of Speech and Universal Dependency effects on English Arabic Machine Translation.

Ofek Rafaeli, Omri Abend, Leshem Choshen, Dmitry Nikolaev

CoRR, 2021

Q²: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering.

Or Honovich, Leshem Choshen, Roee Aharoni, Ella Neeman, Idan Szpektor, Omri Abend

CoRR, 2021

SERRANT: a syntactic classifier for English Grammatical Error Types.

Leshem Choshen, Matanel Oren, Dmitry Nikolaev, Omri Abend

CoRR, 2021

Transition based Graph Decoder for Neural Machine Translation.

Leshem Choshen, Omri Abend

CoRR, 2021

Mediators in Determining what Processing BERT Performs First.

Aviv Slobodkin, Leshem Choshen, Omri Abend

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

$Q^2$: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering.

Or Honovich, Leshem Choshen, Roee Aharoni, Ella Neeman, Idan Szpektor, Omri Abend

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Let's Agree to Agree: Neural Networks Share Classification Order on Real Datasets.

Guy Hacohen, Leshem Choshen, Daphna Weinshall

Proceedings of the 37th International Conference on Machine Learning, 2020

On the Weaknesses of Reinforcement Learning for Neural Machine Translation.

Leshem Choshen, Lior Fox, Zohar Aizenbud, Omri Abend

Proceedings of the 8th International Conference on Learning Representations, 2020

Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New Domains.

Eyal Shnarch, Leshem Choshen, Guy Moshkowich, Ranit Aharonov, Noam Slonim

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Active Learning for BERT: An Empirical Study.

Liat Ein-Dor, Alon Halfon, Ariel Gera, Eyal Shnarch, Lena Dankin, Leshem Choshen, Marina Danilevsky, Ranit Aharonov, Yoav Katz, Noam Slonim

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Classifying Syntactic Errors in Learner Language.

Leshem Choshen, Dmitry Nikolaev, Yevgeni Berzak, Omri Abend

Proceedings of the 24th Conference on Computational Natural Language Learning, 2020

Corpus Wide Argument Mining - A Working Solution.

Liat Ein-Dor, Eyal Shnarch, Lena Dankin, Alon Halfon, Benjamin Sznajder, Ariel Gera, Carlos Alzate, Martin Gleize, Leshem Choshen, Yufang Hou, Yonatan Bilu, Ranit Aharonov, Noam Slonim

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

SemEval-2019 Task 1: Cross-lingual Semantic Parsing with UCCA.

Daniel Hershcovich, Zohar Aizenbud, Leshem Choshen, Elior Sulem, Ari Rappoport, Omri Abend

Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

Automatically Extracting Challenge Sets for Non-Local Phenomena in Neural Machine Translation.

Leshem Choshen, Omri Abend

Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

Learning to combine Grammatical Error Corrections.

Yoav Kantor, Yoav Katz, Leshem Choshen, Edo Cohen-Karlik, Naftali Liberman, Assaf Toledo, Amir Menczel, Noam Slonim

Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications, 2019

Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network.

Martin Gleize, Eyal Shnarch, Leshem Choshen, Lena Dankin, Guy Moshkowich, Ranit Aharonov, Noam Slonim

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

The Language of Legal and Illegal Activity on the Darknet.

Leshem Choshen, Dan Eldad, Daniel Hershcovich, Elior Sulem, Omri Abend

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Inherent Biases in Reference-based Evaluation for Grammatical Error Correction and Text Simplification.

Leshem Choshen, Omri Abend

CoRR, 2018

Reference-less Measure of Faithfulness for Grammatical Error Correction.

Leshem Choshen, Omri Abend

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

DORA The Explorer: Directed Outreaching Reinforcement Action-Selection.

Lior Fox, Leshem Choshen, Yonatan Loewenstein

Proceedings of the 6th International Conference on Learning Representations, 2018

Will it Blend? Blending Weak and Strong Labeled Data in a Neural Network for Argumentation Mining.

Eyal Shnarch, Carlos Alzate, Lena Dankin, Martin Gleize, Yufang Hou, Leshem Choshen, Ranit Aharonov, Noam Slonim

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Automatic Metric Validation for Grammatical Error Correction.

Leshem Choshen, Omri Abend

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Inherent Biases in Reference-based Evaluation for Grammatical Error Correction.

Leshem Choshen, Omri Abend

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018