Yanai Elazar

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 68

Top Topics

Quantitative Attributes

Top Venues

Trans. Assoc. Comput. Linguistics

BlackboxNLP@EMNLP

EMNLP (Findings)

Publications

Chantal Shaib, Yanai Elazar, Junyi Jessy Li, Byron C. Wallace
Detection and Measurement of Syntactic Templates in Generated Text. CoRR (2024)
Yanai Elazar, Jiayao Zhang, David Wadden, Bo Zhang, Noah A. Smith
Estimating the Causal Effect of Early ArXiving on Paper Acceptance. CLeaR (2024)
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
A Survey on Data Selection for Language Models. CoRR (2024)
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
OLMo: Accelerating the Science of Language Models. CoRR (2024)
Preethi Seshadri, Sameer Singh, Yanai Elazar
The Bias Amplification Paradox in Text-to-Image Generation. NAACL-HLT (2024)
Yanai Elazar, Akshita Bhagia, Ian Magnusson, Abhilasha Ravichander, Dustin Schwenk, Alane Suhr, Evan Pete Walsh, Dirk Groeneveld, Luca Soldaini, Sameer Singh, Hannaneh Hajishirzi, Noah A. Smith, Jesse Dodge
What's In My Big Data? ICLR (2024)
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
A Survey on Data Selection for Language Models. Trans. Mach. Learn. Res. 2024 (2024)
Bar Iluz, Yanai Elazar, Asaf Yehudai, Gabriel Stanovsky
Applying Intrinsic Debiasing on Downstream Tasks: Challenges and Considerations for Machine Translation. CoRR (2024)
William Merrill, Noah A. Smith, Yanai Elazar
Evaluating n-Gram Novelty of Language Models Using Rusty-DAWG. CoRR (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)
Antonis Antoniades, Xinyi Wang, Yanai Elazar, Alfonso Amayuelas, Alon Albalak, Kexun Zhang, William Yang Wang
Generalization v.s. Memorization: Tracing Language Models' Capabilities Back to Pretraining Data. CoRR (2024)
Qing Lyu, Kumar Shridhar, Chaitanya Malaviya, Li Zhang, Yanai Elazar, Niket Tandon, Marianna Apidianaki, Mrinmaya Sachan, Chris Callison-Burch
Calibrating Large Language Models with Sample Consistency. CoRR (2024)
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
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research. CoRR (2024)
Yasaman Razeghi, Hamish Ivison, Sameer Singh, Yanai Elazar
Backtracking Mathematical Reasoning of Language Models to the Pretraining Data. Tiny Papers @ ICLR (2024)
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
What's In My Big Data? CoRR (2023)
Marius Mosbach, Tiago Pimentel, Shauli Ravfogel, Dietrich Klakow, Yanai Elazar
Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation. ACL (Findings) (2023)
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
Paloma: A Benchmark for Evaluating Language Model Fit. CoRR (2023)
Preethi Seshadri, Sameer Singh, Yanai Elazar
The Bias Amplification Paradox in Text-to-Image Generation. CoRR (2023)
Yanai Elazar, Jiayao Zhang, David Wadden, Bo Zhang, Noah A. Smith
Estimating the Causal Effect of Early ArXiving on Paper Acceptance. CoRR (2023)
Amit Moryossef, Yanai Elazar, Yoav Goldberg
At Your Fingertips: Extracting Piano Fingering Instructions from Videos. CoRR (2023)
Hongming Zhang, Yintong Huo, Yanai Elazar, Yangqiu Song, Yoav Goldberg, Dan Roth
CIKQA: Learning Commonsense Inference with a Unified Knowledge-in-the-loop QA Paradigm. EACL (Findings) (2023)
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
A taxonomy and review of generalization research in NLP. Nat. Mac. Intell. 5 (10) (2023)
Yanai Elazar, Bhargavi Paranjape, Hao Peng, Sarah Wiegreffe, Khyathi Chandu Raghavi, Vivek Srikumar, Sameer Singh, Noah A. Smith
Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals. CoRR (2023)
Marius Mosbach, Tiago Pimentel, Shauli Ravfogel, Dietrich Klakow, Yanai Elazar
Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation. CoRR (2023)
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
State-of-the-art generalisation research in NLP: a taxonomy and review. CoRR (2022)
Elron Bandel, Yoav Goldberg, Yanai Elazar
Lexical Generalization Improves with Larger Models and Longer Training. EMNLP (Findings) (2022)
Elron Bandel, Yoav Goldberg, Yanai Elazar
Lexical Generalization Improves with Larger Models and Longer Training. CoRR (2022)
Yanai Elazar, Victoria Basmova, Yoav Goldberg, Reut Tsarfaty
Text-based NP Enrichment. Trans. Assoc. Comput. Linguistics 10 (2022)
Yanai Elazar, Nora Kassner, Shauli Ravfogel, Amir Feder, Abhilasha Ravichander, Marius Mosbach, Yonatan Belinkov, Hinrich Schütze, Yoav Goldberg
Measuring Causal Effects of Data Statistics on Language Model's 'Factual' Predictions. CoRR (2022)
Hongming Zhang, Yintong Huo, Yanai Elazar, Yangqiu Song, Yoav Goldberg, Dan Roth
CIKQA: Learning Commonsense Inference with a Unified Knowledge-in-the-loop QA Paradigm. CoRR (2022)
Yanai Elazar, Nora Kassner, Shauli Ravfogel, Abhilasha Ravichander, Eduard H. Hovy, Hinrich Schütze, Yoav Goldberg
Erratum: Measuring and Improving Consistency in Pretrained Language Models. Trans. Assoc. Comput. Linguistics 9 (2021)
Alon Jacovi, Swabha Swayamdipta, Shauli Ravfogel, Yanai Elazar, Yejin Choi, Yoav Goldberg
Contrastive Explanations for Model Interpretability. EMNLP (1) (2021)
Benjamin Müller, Yanai Elazar, Benoît Sagot, Djamé Seddah
First Align, then Predict: Understanding the Cross-Lingual Ability of Multilingual BERT. CoRR (2021)
Yanai Elazar, Nora Kassner, Shauli Ravfogel, Abhilasha Ravichander, Eduard H. Hovy, Hinrich Schütze, Yoav Goldberg
Measuring and Improving Consistency in Pretrained Language Models. CoRR (2021)
Benjamin Müller, Yanai Elazar, Benoît Sagot, Djamé Seddah
First Align, then Predict: Understanding the Cross-Lingual Ability of Multilingual BERT. EACL (2021)
Yanai Elazar, Hongming Zhang, Yoav Goldberg, Dan Roth
Back to Square One: Artifact Detection, Training and Commonsense Disentanglement in the Winograd Schema. EMNLP (1) (2021)
Yanai Elazar, Victoria Basmova, Yoav Goldberg, Reut Tsarfaty
Text-based NP Enrichment. CoRR (2021)
Yanai Elazar, Shauli Ravfogel, Alon Jacovi, Yoav Goldberg
Amnesic Probing: Behavioral Explanation With Amnesic Counterfactuals. Trans. Assoc. Comput. Linguistics 9 (2021)
Yanai Elazar, Hongming Zhang, Yoav Goldberg, Dan Roth
Back to Square One: Bias Detection, Training and Commonsense Disentanglement in the Winograd Schema. CoRR (2021)
Alon Jacovi, Swabha Swayamdipta, Shauli Ravfogel, Yanai Elazar, Yejin Choi, Yoav Goldberg
Contrastive Explanations for Model Interpretability. CoRR (2021)
Ofer Sabo, Yanai Elazar, Yoav Goldberg, Ido Dagan
Revisiting Few-shot Relation Classification: Evaluation Data and Classification Schemes. Trans. Assoc. Comput. Linguistics 9 (2021)
Ofer Sabo, Yanai Elazar, Yoav Goldberg, Ido Dagan
Revisiting Few-shot Relation Classification: Evaluation Data and Classification Schemes. CoRR (2021)
Yanai Elazar, Nora Kassner, Shauli Ravfogel, Abhilasha Ravichander, Eduard H. Hovy, Hinrich Schütze, Yoav Goldberg
Measuring and Improving Consistency in Pretrained Language Models. Trans. Assoc. Comput. Linguistics 9 (2021)
Hila Gonen, Shauli Ravfogel, Yanai Elazar, Yoav Goldberg
It's not Greek to mBERT: Inducing Word-Level Translations from Multilingual BERT. CoRR (2020)
Shauli Ravfogel, Yanai Elazar, Jacob Goldberger, Yoav Goldberg
Unsupervised Distillation of Syntactic Information from Contextualized Word Representations. CoRR (2020)
Xikun Zhang, Deepak Ramachandran, Ian Tenney, Yanai Elazar, Dan Roth
Do Language Embeddings capture Scales? BlackboxNLP@EMNLP (2020)
Yanai Elazar, Victoria Basmova, Shauli Ravfogel, Yoav Goldberg, Reut Tsarfaty
The Extraordinary Failure of Complement Coercion Crowdsourcing. CoRR (2020)
Alon Talmor, Yanai Elazar, Yoav Goldberg, Jonathan Berant
oLMpics - On what Language Model Pre-training Captures. Trans. Assoc. Comput. Linguistics 8 (2020)
Shauli Ravfogel, Yanai Elazar, Jacob Goldberger, Yoav Goldberg
Unsupervised Distillation of Syntactic Information from Contextualized Word Representations. BlackboxNLP@EMNLP (2020)
Hila Gonen, Shauli Ravfogel, Yanai Elazar, Yoav Goldberg
It's not Greek to mBERT: Inducing Word-Level Translations from Multilingual BERT. BlackboxNLP@EMNLP (2020)
Xikun Zhang, Deepak Ramachandran, Ian Tenney, Yanai Elazar, Dan Roth
Do Language Embeddings Capture Scales? CoRR (2020)
Shauli Ravfogel, Yanai Elazar, Hila Gonen, Michael Twiton, Yoav Goldberg
Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection. CoRR (2020)
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
Evaluating NLP Models via Contrast Sets. CoRR (2020)
Yanai Elazar, Shauli Ravfogel, Alon Jacovi, Yoav Goldberg
When Bert Forgets How To POS: Amnesic Probing of Linguistic Properties and MLM Predictions. CoRR (2020)
Yanai Elazar, Victoria Basmova, Shauli Ravfogel, Yoav Goldberg, Reut Tsarfaty
The Extraordinary Failure of Complement Coercion Crowdsourcing. Insights (2020)
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
Evaluating Models' Local Decision Boundaries via Contrast Sets. EMNLP (Findings) (2020)
Shauli Ravfogel, Yanai Elazar, Hila Gonen, Michael Twiton, Yoav Goldberg
Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection. ACL (2020)
Xikun Zhang, Deepak Ramachandran, Ian Tenney, Yanai Elazar, Dan Roth
Do Language Embeddings capture Scales? EMNLP (Findings) (2020)
Maria Barrett, Yova Kementchedjhieva, Yanai Elazar, Desmond Elliott, Anders Søgaard
Adversarial Removal of Demographic Attributes Revisited. EMNLP/IJCNLP (1) (2019)
Yanai Elazar, Yoav Goldberg
Where's My Head? Definition, Dataset and Models for Numeric Fused-Heads Identification and Resolution. CoRR (2019)
Yanai Elazar, Abhijit Mahabal, Deepak Ramachandran, Tania Bedrax-Weiss, Dan Roth
How Large Are Lions? Inducing Distributions over Quantitative Attributes. CoRR (2019)
Yanai Elazar, Yoav Goldberg
Where's My Head? Definition, Dataset and Models for Numeric Fused-Heads Identification and Resolution. Trans. Assoc. Comput. Linguistics 7 (2019)
Yanai Elazar, Abhijit Mahabal, Deepak Ramachandran, Tania Bedrax-Weiss, Dan Roth
How Large Are Lions? Inducing Distributions over Quantitative Attributes. ACL (1) (2019)
Yehezkel S. Resheff, Yanai Elazar, Moni Shahar, Oren Sar Shalom
Privacy and Fairness in Recommender Systems via Adversarial Training of User Representations. ICPRAM (2019)
Alon Talmor, Yanai Elazar, Yoav Goldberg, Jonathan Berant
oLMpics - On what Language Model Pre-training Captures. CoRR (2019)
Yanai Elazar, Yoav Goldberg
Adversarial Removal of Demographic Attributes from Text Data. CoRR (2018)
Yanai Elazar, Yoav Goldberg
Adversarial Removal of Demographic Attributes from Text Data. EMNLP (2018)
Yehezkel S. Resheff, Yanai Elazar, Moni Shahar, Oren Sar Shalom
Privacy-Adversarial User Representations in Recommender Systems. CoRR (2018)