Leshem Choshen

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 97

Top Topics

Machine Translation

Question Answering

Error Correction

Top Venues

Publications

Moshik Hershcovitch, Leshem Choshen, Andrew Wood, Ilias Enmouri, Peter Chin, Swaminathan Sundararaman, Danny Harnik
Lossless and Near-Lossless Compression for Foundation Models. CoRR (2024)
Alexander Yom Din, Taelin Karidi, Leshem Choshen, Mor Geva
Jump to Conclusions: Short-Cutting Transformers with Linear Transformations. LREC/COLING (2024)
Eli Schwartz, Leshem Choshen, Joseph Shtok, Sivan Doveh, Leonid Karlinsky, Assaf Arbelle
NumeroLogic: Number Encoding for Enhanced LLMs' Numerical Reasoning. CoRR (2024)
Jiacheng Zhu, Kristjan H. Greenewald, Kimia Nadjahi, Haitz Sáez de Ocáriz Borde, Rickard Brüel Gabrielsson, Leshem Choshen, Marzyeh Ghassemi, Mikhail Yurochkin, Justin Solomon
Asymmetry in Low-Rank Adapters of Foundation Models. CoRR (2024)
Felipe Maia Polo, Lucas Weber, Leshem Choshen, Yuekai Sun, Gongjun Xu, Mikhail Yurochkin
tinyBenchmarks: evaluating LLMs with fewer examples. CoRR (2024)
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
Unitxt: Flexible, Shareable and Reusable Data Preparation and Evaluation for Generative AI. CoRR (2024)
Andreas Waldis, Yotam Perlitz, Leshem Choshen, Yufang Hou, Iryna Gurevych
Holmes: Benchmark the Linguistic Competence of Language Models. CoRR (2024)
Anna A. Ivanova, Aalok Sathe, Benjamin Lipkin, Unnathi Kumar, Setayesh Radkani, Thomas Hikaru Clark, Carina Kauf, Jennifer Hu, R. T. Pramod, Gabriel Grand, Vivian C. Paulun, Maria Ryskina, Ekin Akyürek, Ethan Wilcox, Nafisa Rashid, Leshem Choshen, Roger Levy, Evelina Fedorenko, Joshua B. Tenenbaum, Jacob Andreas
Elements of World Knowledge (EWOK): A cognition-inspired framework for evaluating basic world knowledge in language models. CoRR (2024)
Shir Ashury-Tahan, Ariel Gera, Benjamin Sznajder, Leshem Choshen, Liat Ein-Dor, Eyal Shnarch
Label-Efficient Model Selection for Text Generation. ACL (1) (2024)
Yotam Perlitz, Ariel Gera, Ofir Arviv, Asaf Yehudai, Elron Bandel, Eyal Shnarch, Michal Shmueli-Scheuer, Leshem Choshen
Benchmark Agreement Testing Done Right: A Guide for LLM Benchmark Evaluation. CoRR (2024)
Asaf Yehudai, Boaz Carmeli, Yosi Mass, Ofir Arviv, Nathaniel Mills, Eyal Shnarch, Leshem Choshen
Achieving Human Parity in Content-Grounded Datasets Generation. ICLR (2024)
Asaf Yehudai, Boaz Carmeli, Yosi Mass, Ofir Arviv, Nathaniel Mills, Assaf Toledo, Eyal Shnarch, Leshem Choshen
Genie: Achieving Human Parity in Content-Grounded Datasets Generation. CoRR (2024)
Afra Feyza Akyürek, Ekin Akyürek, Leshem Choshen, Derry Wijaya, Jacob Andreas
Deductive Closure Training of Language Models for Coherence, Accuracy, and Updatability. CoRR (2024)
Felipe Maia Polo, Ronald Xu, Lucas Weber, Mírian Silva, Onkar Bhardwaj, Leshem Choshen, Allysson Flavio Melo de Oliveira, Yuekai Sun, Mikhail Yurochkin
Efficient multi-prompt evaluation of LLMs. CoRR (2024)
Leshem Choshen, Ryan Cotterell, Michael Y. Hu, Tal Linzen, Aaron Mueller, Candace Ross, Alex Warstadt, Ethan Wilcox, Adina Williams, Chengxu Zhuang
[Call for Papers] The 2nd BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus. CoRR (2024)
Yotam Perlitz, Elron Bandel, Ariel Gera, Ofir Arviv, Liat Ein-Dor, Eyal Shnarch, Noam Slonim, Michal Shmueli-Scheuer, Leshem Choshen
Efficient Benchmarking (of Language Models). NAACL-HLT (2024)
Oscar Sainz, Iker García-Ferrero, Alon Jacovi, Jon Ander Campos, Yanai Elazar, Eneko Agirre, Yoav Goldberg, Wei-Lin Chen, Jenny Chim, Leshem Choshen, Luca D'Amico-Wong, Melissa Dell, Run-Ze Fan, Shahriar Golchin, Yucheng Li, Pengfei Liu, Bhavish Pahwa, Ameya Prabhu, Suryansh Sharma, Emily Silcock, Kateryna Solonko, David Stap, Mihai Surdeanu, Yu-Min Tseng, Vishaal Udandarao, Zengzhi Wang, Ruijie Xu, Jinglin Yang
Data Contamination Report from the 2024 CONDA Shared Task. CoRR (2024)
Rickard Brüel Gabrielsson, Jiacheng Zhu, Onkar Bhardwaj, Leshem Choshen, Kristjan H. Greenewald, Mikhail Yurochkin, Justin Solomon
Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead. CoRR (2024)
Afra Feyza Akyürek, Ekin Akyürek, Leshem Choshen, Derry Wijaya, Jacob Andreas
Deductive Closure Training of Language Models for Coherence, Accuracy, and Updatability. ACL (Findings) (2024)
Shachar Don-Yehiya, Leshem Choshen, Omri Abend
Learning from Naturally Occurring Feedback. CoRR (2024)
Shir Ashury-Tahan, Benjamin Sznajder, Leshem Choshen, Liat Ein-Dor, Eyal Shnarch, Ariel Gera
Label-Efficient Model Selection for Text Generation. CoRR (2024)
Leshem Choshen, Elad Venezian, Shachar Don-Yehiya, Noam Slonim, Yoav Katz
Where to start? Analyzing the potential value of intermediate models. EMNLP (2023)
Almog Gueta, Elad Venezian, Colin Raffel, Noam Slonim, Yoav Katz, Leshem Choshen
Knowledge is a Region in Weight Space for Fine-tuned Language Models. CoRR (2023)
Shachar Don-Yehiya, Leshem Choshen, Omri Abend
Human Learning by Model Feedback: The Dynamics of Iterative Prompting with Midjourney. CoRR (2023)
Taelin Karidi, Leshem Choshen, Gal Patel, Omri Abend
MuLER: Detailed and Scalable Reference-based Evaluation. CoNLL (2023)
Taelin Karidi, Leshem Choshen, Gal Patel, Omri Abend
MuLER: Detailed and Scalable Reference-based Evaluation. CoRR (2023)
Alex Warstadt, Leshem Choshen, Aaron Mueller, Adina Williams, Ethan Wilcox, Chengxu Zhuang
Call for Papers - The BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus. CoRR (2023)
Prateek Yadav, Leshem Choshen, Colin Raffel, Mohit Bansal
ComPEFT: Compression for Communicating Parameter Efficient Updates via Sparsification and Quantization. CoRR (2023)
Yotam Perlitz, Elron Bandel, Ariel Gera, Ofir Arviv, Liat Ein-Dor, Eyal Shnarch, Noam Slonim, Michal Shmueli-Scheuer, Leshem Choshen
Efficient Benchmarking (of Language Models). CoRR (2023)
Kerem Zaman, Leshem Choshen, Shashank Srivastava
Fuse to Forget: Bias Reduction and Selective Memorization through Model Fusion. CoRR (2023)
Almog Gueta, Elad Venezian, Colin Raffel, Noam Slonim, Yoav Katz, Leshem Choshen
Knowledge is a Region in Weight Space for Fine-tuned Language Models. EMNLP (Findings) (2023)
Shachar Don-Yehiya, Leshem Choshen, Omri Abend
Human Learning by Model Feedback: The Dynamics of Iterative Prompting with Midjourney. EMNLP (2023)
Prateek Yadav, Derek Tam, Leshem Choshen, Colin A. Raffel, Mohit Bansal
TIES-Merging: Resolving Interference When Merging Models. NeurIPS (2023)
Ella Neeman, Roee Aharoni, Or Honovich, Leshem Choshen, Idan Szpektor, Omri Abend
DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question Answering. ACL (1) (2023)
Shachar Don-Yehiya, Elad Venezian, Colin Raffel, Noam Slonim, Leshem Choshen
ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning. ACL (1) (2023)
Prateek Yadav, Derek Tam, Leshem Choshen, Colin Raffel, Mohit Bansal
Resolving Interference When Merging Models. CoRR (2023)
Alexander Yom Din, Taelin Karidi, Leshem Choshen, Mor Geva
Jump to Conclusions: Short-Cutting Transformers With Linear Transformations. CoRR (2023)
Shachar Don-Yehiya, Leshem Choshen, Omri Abend
PreQuEL: Quality Estimation of Machine Translation Outputs in Advance. EMNLP (2022)
Leshem Choshen, Omri Abend
Enhancing the Transformer Decoder with Transition-based Syntax. CoNLL (2022)
Piyawat Lertvittayakumjorn, Leshem Choshen, Eyal Shnarch, Francesca Toni
GrASP: A Library for Extracting and Exploring Human-Interpretable Textual Patterns. LREC (2022)
Eyal Shnarch, Ariel Gera, Alon Halfon, Lena Dankin, Leshem Choshen, Ranit Aharonov, Noam Slonim
Cluster & Tune: Boost Cold Start Performance in Text Classification. ACL (1) (2022)
Shachar Don-Yehiya, Leshem Choshen, Omri Abend
PreQuEL: Quality Estimation of Machine Translation Outputs in Advance. CoRR (2022)
Shachar Don-Yehiya, Elad Venezian, Colin Raffel, Noam Slonim, Yoav Katz, Leshem Choshen
ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning. CoRR (2022)
Leshem Choshen, Guy Hacohen, Daphna Weinshall, Omri Abend
The Grammar-Learning Trajectories of Neural Language Models. ACL (1) (2022)
Leshem Choshen, Elad Venezian, Noam Slonim, Yoav Katz
Fusing finetuned models for better pretraining. CoRR (2022)
Leshem Choshen, Ofir Shifman, Omri Abend
Some Grammatical Errors are Frequent, Others are Important. CoRR (2022)
Eyal Shnarch, Alon Halfon, Ariel Gera, Marina Danilevsky, Yannis Katsis, Leshem Choshen, Martín Santillán Cooper, Dina Epelboim, Zheng Zhang, Dakuo Wang
Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours. EMNLP (Demos) (2022)
Eyal Shnarch, Alon Halfon, Ariel Gera, Marina Danilevsky, Yannis Katsis, Leshem Choshen, Martin 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
Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours. CoRR (2022)
Asaf Yehudai, Leshem Choshen, Lior Fox, Omri Abend
Reinforcement Learning with Large Action Spaces for Neural Machine Translation. CoRR (2022)
Asaf Yehudai, Leshem Choshen, Lior Fox, Omri Abend
Reinforcement Learning with Large Action Spaces for Neural Machine Translation. COLING (2022)
Ella Neeman, Roee Aharoni, Or Honovich, Leshem Choshen, Idan Szpektor, Omri Abend
DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question Answering. CoRR (2022)
Leshem Choshen, Elad Venezian, Shachar Don-Yehiya, Noam Slonim, Yoav Katz
Where to start? Analyzing the potential value of intermediate models. CoRR (2022)
Aviv Slobodkin, Leshem Choshen, Omri Abend
Semantics-aware Attention Improves Neural Machine Translation. *SEM@NAACL-HLT (2022)
Gal Patel, Leshem Choshen, Omri Abend
On Neurons Invariant to Sentence Structural Changes in Neural Machine Translation. CoNLL (2022)
Eyal Shnarch, Ariel Gera, Alon Halfon, Lena Dankin, Leshem Choshen, Ranit Aharonov, Noam Slonim
Cluster & Tune: Boost Cold Start Performance in Text Classification. CoRR (2022)
Leshem Choshen, Matanel Oren, Dmitry Nikolaev, Omri Abend
SERRANT: a syntactic classifier for English Grammatical Error Types. CoRR (2021)
Gal Patel, Leshem Choshen, Omri Abend
On Neurons Invariant to Sentence Structural Changes in Neural Machine Translation. CoRR (2021)
Aviv Slobodkin, Leshem Choshen, Omri Abend
Mediators in Determining what Processing BERT Performs First. CoRR (2021)
Or Honovich, Leshem Choshen, Roee Aharoni, Ella Neeman, Idan Szpektor, Omri Abend
: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering. CoRR (2021)
Aviv Slobodkin, Leshem Choshen, Omri Abend
Semantics-aware Attention Improves Neural Machine Translation. CoRR (2021)
Ofek Rafaeli, Omri Abend, Leshem Choshen, Dmitry Nikolaev
Part of Speech and Universal Dependency effects on English Arabic Machine Translation. CoRR (2021)
Leshem Choshen, Idan Amit
ComSum: Commit Messages Summarization and Meaning Preservation. CoRR (2021)
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
An autonomous debating system. Nat. 591 (7850) (2021)
Leshem Choshen, Guy Hacohen, Daphna Weinshall, Omri Abend
The Grammar-Learning Trajectories of Neural Language Models. CoRR (2021)
Leshem Choshen, Omri Abend
Transition based Graph Decoder for Neural Machine Translation. CoRR (2021)
Aviv Slobodkin, Leshem Choshen, Omri Abend
Mediators in Determining what Processing BERT Performs First. NAACL-HLT (2021)
Piyawat Lertvittayakumjorn, Leshem Choshen, Eyal Shnarch, Francesca Toni
GrASP: A Library for Extracting and Exploring Human-Interpretable Textual Patterns. CoRR (2021)
Or Honovich, Leshem Choshen, Roee Aharoni, Ella Neeman, Idan Szpektor, Omri Abend
$Q^2$: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering. EMNLP (1) (2021)
Liat Ein-Dor, Alon Halfon, Ariel Gera, Eyal Shnarch, Lena Dankin, Leshem Choshen, Marina Danilevsky, Ranit Aharonov, Yoav Katz, Noam Slonim
Active Learning for BERT: An Empirical Study. EMNLP (1) (2020)
Leshem Choshen, Lior Fox, Zohar Aizenbud, Omri Abend
On the Weaknesses of Reinforcement Learning for Neural Machine Translation. ICLR (2020)
Leshem Choshen, Dmitry Nikolaev, Yevgeni Berzak, Omri Abend
Classifying Syntactic Errors in Learner Language. CoRR (2020)
Eyal Shnarch, Leshem Choshen, Guy Moshkowich, Noam Slonim, Ranit Aharonov
Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New Domains. CoRR (2020)
Eyal Shnarch, Leshem Choshen, Guy Moshkowich, Ranit Aharonov, Noam Slonim
Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New Domains. EMNLP (Findings) (2020)
Leshem Choshen, Dmitry Nikolaev, Yevgeni Berzak, Omri Abend
Classifying Syntactic Errors in Learner Language. CoNLL (2020)
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
Corpus Wide Argument Mining - A Working Solution. AAAI (2020)
Guy Hacohen, Leshem Choshen, Daphna Weinshall
Let's Agree to Agree: Neural Networks Share Classification Order on Real Datasets. ICML (2020)
Leshem Choshen, Dan Eldad, Daniel Hershcovich, Elior Sulem, Omri Abend
The Language of Legal and Illegal Activity on the Darknet. ACL (1) (2019)
Yoav Kantor, Yoav Katz, Leshem Choshen, Edo Cohen-Karlik, Naftali Liberman, Assaf Toledo, Amir Menczel, Noam Slonim
Learning to combine Grammatical Error Corrections. CoRR (2019)
Leshem Choshen, Dan Eldad, Daniel Hershcovich, Elior Sulem, Omri Abend
The Language of Legal and Illegal Activity on the Darknet. CoRR (2019)
Martin Gleize, Eyal Shnarch, Leshem Choshen, Lena Dankin, Guy Moshkowich, Ranit Aharonov, Noam Slonim
Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network. ACL (1) (2019)
Leshem Choshen, Omri Abend
Automatically Extracting Challenge Sets for Non-Local Phenomena in Neural Machine Translation. CoNLL (2019)
Daniel Hershcovich, Zohar Aizenbud, Leshem Choshen, Elior Sulem, Ari Rappoport, Omri Abend
SemEval 2019 Task 1: Cross-lingual Semantic Parsing with UCCA. CoRR (2019)
Martin Gleize, Eyal Shnarch, Leshem Choshen, Lena Dankin, Guy Moshkowich, Ranit Aharonov, Noam Slonim
Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network. CoRR (2019)
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
Corpus Wide Argument Mining - a Working Solution. CoRR (2019)
Daniel Hershcovich, Zohar Aizenbud, Leshem Choshen, Elior Sulem, Ari Rappoport, Omri Abend
SemEval-2019 Task 1: Cross-lingual Semantic Parsing with UCCA. SemEval@NAACL-HLT (2019)
Leshem Choshen, Omri Abend
Automatically Extracting Challenge Sets for Non local Phenomena in Neural Machine Translation. CoRR (2019)
Yoav Kantor, Yoav Katz, Leshem Choshen, Edo Cohen-Karlik, Naftali Liberman, Assaf Toledo, Amir Menczel, Noam Slonim
Learning to combine Grammatical Error Corrections. BEA@ACL (2019)
Leshem Choshen, Lior Fox, Zohar Aizenbud, Omri Abend
On the Weaknesses of Reinforcement Learning for Neural Machine Translation. CoRR (2019)
Leshem Choshen, Omri Abend
Automatic Metric Validation for Grammatical Error Correction. CoRR (2018)
Leshem Choshen, Omri Abend
Automatic Metric Validation for Grammatical Error Correction. ACL (1) (2018)
Leshem Choshen, Lior Fox, Yonatan Loewenstein
DORA The Explorer: Directed Outreaching Reinforcement Action-Selection. CoRR (2018)
Leshem Choshen, Omri Abend
Inherent Biases in Reference-based Evaluation for Grammatical Error Correction. ACL (1) (2018)
Lior Fox, Leshem Choshen, Yonatan Loewenstein
DORA The Explorer: Directed Outreaching Reinforcement Action-Selection. ICLR (Poster) (2018)
Leshem Choshen, Omri Abend
Inherent Biases in Reference-based Evaluation for Grammatical Error Correction and Text Simplification. CoRR (2018)
Leshem Choshen, Omri Abend
Reference-less Measure of Faithfulness for Grammatical Error Correction. CoRR (2018)
Leshem Choshen, Omri Abend
Reference-less Measure of Faithfulness for Grammatical Error Correction. NAACL-HLT (2) (2018)
Eyal Shnarch, Carlos Alzate, Lena Dankin, Martin Gleize, Yufang Hou, Leshem Choshen, Ranit Aharonov, Noam Slonim
Will it Blend? Blending Weak and Strong Labeled Data in a Neural Network for Argumentation Mining. ACL (2) (2018)