Yanai Elazar

According to our database, Yanai Elazar authored at least 40 papers between 2018 and 2024.

Collaborative distances:

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

2024

A Survey on Data Selection for Language Models.

Alon Albalak, Yanai Elazar, Sang Michael Xie, Shayne Longpre, Nathan Lambert, Xinyi Wang, Niklas Muennighoff, Bairu Hou, Liangming Pan, Haewon Jeong, Colin Raffel, Shiyu Chang, Tatsunori Hashimoto, William Yang Wang

CoRR, 2024

Calibrating Large Language Models with Sample Consistency.

Qing Lyu, Kumar Shridhar, Chaitanya Malaviya, Li Zhang, Yanai Elazar, Niket Tandon, Marianna Apidianaki, Mrinmaya Sachan, Chris Callison-Burch

CoRR, 2024

OLMo: Accelerating the Science of Language Models.

Dirk Groeneveld, Iz Beltagy, Pete Walsh, Akshita Bhagia, Rodney Kinney, Oyvind Tafjord, Ananya Harsh Jha, Hamish Ivison, Ian Magnusson, Yizhong Wang, Shane Arora, David Atkinson, Russell Authur, Khyathi Raghavi Chandu, Arman Cohan, Jennifer Dumas, Yanai Elazar, Yuling Gu, Jack Hessel, Tushar Khot, William Merrill, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Valentina Pyatkin, Abhilasha Ravichander, Dustin Schwenk, Saurabh Shah, Will Smith, Emma Strubell, Nishant Subramani, Mitchell Wortsman, Pradeep Dasigi, Nathan Lambert, Kyle Richardson, Luke Zettlemoyer, Jesse Dodge, Kyle Lo, Luca Soldaini, Noah A. Smith, Hannaneh Hajishirzi

CoRR, 2024

Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research.

Luca Soldaini, Rodney Kinney, Akshita Bhagia, Dustin Schwenk, David Atkinson, Russell Authur, Ben Bogin, Khyathi Chandu, Jennifer Dumas, Yanai Elazar, Valentin Hofmann, Ananya Harsh Jha, Sachin Kumar, Li Lucy, Xinxi Lyu, Nathan Lambert, Ian Magnusson, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Abhilasha Ravichander, Kyle Richardson, Zejiang Shen, Emma Strubell, Nishant Subramani, Oyvind Tafjord, Pete Walsh, Luke Zettlemoyer, Noah A. Smith, Hannaneh Hajishirzi, Iz Beltagy, Dirk Groeneveld, Jesse Dodge, Kyle Lo

CoRR, 2024

2023

A taxonomy and review of generalization research in NLP.

Dieuwke Hupkes, Mario Giulianelli, Verna Dankers, Mikel Artetxe, Yanai Elazar, Tiago Pimentel, Christos E. Christodoulopoulos, Karim Lasri, Naomi Saphra, Arabella Sinclair, Dennis Ulmer, Florian Schottmann, Khuyagbaatar Batsuren, Kaiser Sun, Koustuv Sinha, Leila Khalatbari, Maria Ryskina, Rita Frieske, Ryan Cotterell, Zhijing Jin

Nat. Mac. Intell., October, 2023

Paloma: A Benchmark for Evaluating Language Model Fit.

Ian Magnusson, Akshita Bhagia, Valentin Hofmann, Luca Soldaini, Ananya Harsh Jha, Oyvind Tafjord, Dustin Schwenk, Evan Pete Walsh, Yanai Elazar, Kyle Lo, Dirk Groeneveld, Iz Beltagy, Hannaneh Hajishirzi, Noah A. Smith, Kyle Richardson, Jesse Dodge

CoRR, 2023

Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals.

Yanai Elazar, Bhargavi Paranjape, Hao Peng, Sarah Wiegreffe, Khyathi Chandu Raghavi, Vivek Srikumar, Sameer Singh, Noah A. Smith

CoRR, 2023

What's In My Big Data?

Yanai Elazar, Akshita Bhagia, Ian Magnusson, Abhilasha Ravichander, Dustin Schwenk, Alane Suhr, Pete Walsh, Dirk Groeneveld, Luca Soldaini, Sameer Singh, Hanna Hajishirzi, Noah A. Smith, Jesse Dodge

CoRR, 2023

The Bias Amplification Paradox in Text-to-Image Generation.

Preethi Seshadri, Sameer Singh, Yanai Elazar

CoRR, 2023

Estimating the Causal Effect of Early ArXiving on Paper Acceptance.

Yanai Elazar, Jiayao Zhang, David Wadden, Bo Zhang, Noah A. Smith

CoRR, 2023

At Your Fingertips: Extracting Piano Fingering Instructions from Videos.

Amit Moryossef, Yanai Elazar, Yoav Goldberg

CoRR, 2023

CIKQA: Learning Commonsense Inference with a Unified Knowledge-in-the-loop QA Paradigm.

Hongming Zhang, Yintong Huo, Yanai Elazar, Yangqiu Song, Yoav Goldberg, Dan Roth

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

Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation.

Marius Mosbach, Tiago Pimentel, Shauli Ravfogel, Dietrich Klakow, Yanai Elazar

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

2022

Text-based NP Enrichment.

Yanai Elazar, Victoria Basmova, Yoav Goldberg, Reut Tsarfaty

Trans. Assoc. Comput. Linguistics, 2022

State-of-the-art generalisation research in NLP: a taxonomy and review.

Dieuwke Hupkes, Mario Giulianelli, Verna Dankers, Mikel Artetxe, Yanai Elazar, Tiago Pimentel, Christos Christodoulopoulos, Karim Lasri, Naomi Saphra, Arabella Sinclair, Dennis Ulmer, Florian Schottmann, Khuyagbaatar Batsuren, Kaiser Sun, Koustuv Sinha, Leila Khalatbari, Maria Ryskina, Rita Frieske, Ryan Cotterell, Zhijing Jin

CoRR, 2022

Measuring Causal Effects of Data Statistics on Language Model's 'Factual' Predictions.

Yanai Elazar, Nora Kassner, Shauli Ravfogel, Amir Feder, Abhilasha Ravichander, Marius Mosbach, Yonatan Belinkov, Hinrich Schütze, Yoav Goldberg

CoRR, 2022

Lexical Generalization Improves with Larger Models and Longer Training.

Elron Bandel, Yoav Goldberg, Yanai Elazar

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Revisiting Few-shot Relation Classification: Evaluation Data and Classification Schemes.

Ofer Sabo, Yanai Elazar, Yoav Goldberg, Ido Dagan

Trans. Assoc. Comput. Linguistics, 2021

Amnesic Probing: Behavioral Explanation With Amnesic Counterfactuals.

Yanai Elazar, Shauli Ravfogel, Alon Jacovi, Yoav Goldberg

Trans. Assoc. Comput. Linguistics, 2021

Erratum: Measuring and Improving Consistency in Pretrained Language Models.

Yanai Elazar, Nora Kassner, Shauli Ravfogel, Abhilasha Ravichander, Eduard H. Hovy, Hinrich Schütze, Yoav Goldberg

Trans. Assoc. Comput. Linguistics, 2021

Measuring and Improving Consistency in Pretrained Language Models.

Yanai Elazar, Nora Kassner, Shauli Ravfogel, Abhilasha Ravichander, Eduard H. Hovy, Hinrich Schütze, Yoav Goldberg

Trans. Assoc. Comput. Linguistics, 2021

Back to Square One: Bias Detection, Training and Commonsense Disentanglement in the Winograd Schema.

Yanai Elazar, Hongming Zhang, Yoav Goldberg, Dan Roth

CoRR, 2021

Contrastive Explanations for Model Interpretability.

Alon Jacovi, Swabha Swayamdipta, Shauli Ravfogel, Yanai Elazar, Yejin Choi, Yoav Goldberg

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

Back to Square One: Artifact Detection, Training and Commonsense Disentanglement in the Winograd Schema.

Yanai Elazar, Hongming Zhang, Yoav Goldberg, Dan Roth

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

First Align, then Predict: Understanding the Cross-Lingual Ability of Multilingual BERT.

Benjamin Muller, Yanai Elazar, Benoît Sagot, Djamé Seddah

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020

oLMpics - On what Language Model Pre-training Captures.

Alon Talmor, Yanai Elazar, Yoav Goldberg, Jonathan Berant

Trans. Assoc. Comput. Linguistics, 2020

When Bert Forgets How To POS: Amnesic Probing of Linguistic Properties and MLM Predictions.

Yanai Elazar, Shauli Ravfogel, Alon Jacovi, Yoav Goldberg

CoRR, 2020

Evaluating NLP Models via Contrast Sets.

Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hanna Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F. Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A. Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, Ally Zhang, Ben Zhou

CoRR, 2020

Evaluating Models' Local Decision Boundaries via Contrast Sets.

Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hannaneh Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F. Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A. Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, Ally Zhang, Ben Zhou

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

Do Language Embeddings capture Scales?

Xikun Zhang, Deepak Ramachandran, Ian Tenney, Yanai Elazar, Dan Roth

Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2020

Unsupervised Distillation of Syntactic Information from Contextualized Word Representations.

Shauli Ravfogel, Yanai Elazar, Jacob Goldberger, Yoav Goldberg

Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2020

It's not Greek to mBERT: Inducing Word-Level Translations from Multilingual BERT.

Hila Gonen, Shauli Ravfogel, Yanai Elazar, Yoav Goldberg

Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2020

Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection.

Shauli Ravfogel, Yanai Elazar, Hila Gonen, Michael Twiton, Yoav Goldberg

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

The Extraordinary Failure of Complement Coercion Crowdsourcing.

Yanai Elazar, Victoria Basmova, Shauli Ravfogel, Yoav Goldberg, Reut Tsarfaty

Proceedings of the First Workshop on Insights from Negative Results in NLP, 2020

2019

Where's My Head? Definition, Dataset and Models for Numeric Fused-Heads Identification and Resolution.

Yanai Elazar, Yoav Goldberg

Trans. Assoc. Comput. Linguistics, 2019

Privacy and Fairness in Recommender Systems via Adversarial Training of User Representations.

Yehezkel S. Resheff, Yanai Elazar, Moni Shahar, Oren Sar Shalom

Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019

Adversarial Removal of Demographic Attributes Revisited.

Maria Barrett, Yova Kementchedjhieva, Yanai Elazar, Desmond Elliott, Anders Søgaard

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

How Large Are Lions? Inducing Distributions over Quantitative Attributes.

Yanai Elazar, Abhijit Mahabal, Deepak Ramachandran, Tania Bedrax-Weiss, Dan Roth

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

2018

Privacy-Adversarial User Representations in Recommender Systems.

Yehezkel S. Resheff, Yanai Elazar, Moni Shahar, Oren Sar Shalom

CoRR, 2018

Adversarial Removal of Demographic Attributes from Text Data.

Yanai Elazar, Yoav Goldberg

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018