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2020 – today
- 2024
[j9]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)- [c23]Luca Soldaini, Rodney Kinney, Akshita Bhagia, Dustin Schwenk, David Atkinson, Russell Authur, Ben Bogin, Khyathi Raghavi 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, Evan 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. ACL (1) 2024: 15725-15788 - [c22]Dirk Groeneveld, Iz Beltagy, Evan 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. ACL (1) 2024: 15789-15809 - [c21]Yanai Elazar, Jiayao Zhang, David Wadden, Bo Zhang, Noah A. Smith:
Estimating the Causal Effect of Early ArXiving on Paper Acceptance. CLeaR 2024: 913-933 - [c20]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 - [c19]Yasaman Razeghi, Hamish Ivison, Sameer Singh, Yanai Elazar:
Backtracking Mathematical Reasoning of Language Models to the Pretraining Data. Tiny Papers @ ICLR 2024 - [c18]Preethi Seshadri, Sameer Singh, Yanai Elazar:
The Bias Amplification Paradox in Text-to-Image Generation. NAACL-HLT 2024: 6367-6384 - [i38]Luca Soldaini, Rodney Kinney, Akshita Bhagia
, Dustin Schwenk, David Atkinson, Russell Authur, Ben Bogin, Khyathi Raghavi 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 abs/2402.00159 (2024) - [i37]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 abs/2402.00838 (2024) - [i36]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 abs/2402.13904 (2024) - [i35]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 abs/2402.16827 (2024) - [i34]Bar Iluz, Yanai Elazar, Asaf Yehudai, Gabriel Stanovsky:
Applying Intrinsic Debiasing on Downstream Tasks: Challenges and Considerations for Machine Translation. CoRR abs/2406.00787 (2024) - [i33]William Merrill, Noah A. Smith, Yanai Elazar:
Evaluating n-Gram Novelty of Language Models Using Rusty-DAWG. CoRR abs/2406.13069 (2024) - [i32]Chantal Shaib, Yanai Elazar, Junyi Jessy Li, Byron C. Wallace:
Detection and Measurement of Syntactic Templates in Generated Text. CoRR abs/2407.00211 (2024) - [i31]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 abs/2407.14985 (2024) - [i30]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 abs/2407.21530 (2024) - 2023
- [j8]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): 1161-1174 (2023) - [c17]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: 12284-12314 - [c16]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: 114-124 - [i29]Amit Moryossef, Yanai Elazar, Yoav Goldberg:
At Your Fingertips: Extracting Piano Fingering Instructions from Videos. CoRR abs/2303.03745 (2023) - [i28]Marius Mosbach, Tiago Pimentel, Shauli Ravfogel, Dietrich Klakow, Yanai Elazar:
Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation. CoRR abs/2305.16938 (2023) - [i27]Yanai Elazar, Jiayao Zhang, David Wadden, Bo Zhang, Noah A. Smith:
Estimating the Causal Effect of Early ArXiving on Paper Acceptance. CoRR abs/2306.13891 (2023) - [i26]Preethi Seshadri, Sameer Singh, Yanai Elazar:
The Bias Amplification Paradox in Text-to-Image Generation. CoRR abs/2308.00755 (2023) - [i25]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 abs/2310.20707 (2023) - [i24]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 abs/2311.09605 (2023) - [i23]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 abs/2312.10523 (2023) - 2022
- [j7]Yanai Elazar, Victoria Basmova, Yoav Goldberg, Reut Tsarfaty:
Text-based NP Enrichment. Trans. Assoc. Comput. Linguistics 10: 764-784 (2022) - [c15]Elron Bandel, Yoav Goldberg, Yanai Elazar:
Lexical Generalization Improves with Larger Models and Longer Training. EMNLP (Findings) 2022: 4398-4410 - [e1]Jasmijn Bastings, Yonatan Belinkov, Yanai Elazar, Dieuwke Hupkes, Naomi Saphra, Sarah Wiegreffe:
Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, BlackboxNLP@EMNLP 2022, Abu Dhabi, United Arab Emirates (Hybrid), December 8, 2022. Association for Computational Linguistics 2022, ISBN 978-1-959429-05-0 [contents] - [i22]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 abs/2207.14251 (2022) - [i21]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 abs/2210.03050 (2022) - [i20]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 abs/2210.06246 (2022) - [i19]Elron Bandel, Yoav Goldberg, Yanai Elazar:
Lexical Generalization Improves with Larger Models and Longer Training. CoRR abs/2210.12673 (2022) - 2021
- [j6]Yanai Elazar, Shauli Ravfogel, Alon Jacovi, Yoav Goldberg:
Amnesic Probing: Behavioral Explanation With Amnesic Counterfactuals. Trans. Assoc. Comput. Linguistics 9: 160-175 (2021) - [j5]Ofer Sabo, Yanai Elazar, Yoav Goldberg, Ido Dagan:
Revisiting Few-shot Relation Classification: Evaluation Data and Classification Schemes. Trans. Assoc. Comput. Linguistics 9: 691-706 (2021) - [j4]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: 1012-1031 (2021) - [j3]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: 1407 (2021) - [c14]Benjamin Muller, Yanai Elazar, Benoît Sagot, Djamé Seddah:
First Align, then Predict: Understanding the Cross-Lingual Ability of Multilingual BERT. EACL 2021: 2214-2231 - [c13]Alon Jacovi, Swabha Swayamdipta, Shauli Ravfogel, Yanai Elazar, Yejin Choi, Yoav Goldberg:
Contrastive Explanations for Model Interpretability. EMNLP (1) 2021: 1597-1611 - [c12]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: 10486-10500 - [i18]Benjamin Muller, Yanai Elazar, Benoît Sagot, Djamé Seddah:
First Align, then Predict: Understanding the Cross-Lingual Ability of Multilingual BERT. CoRR abs/2101.11109 (2021) - [i17]Yanai Elazar, Nora Kassner, Shauli Ravfogel, Abhilasha Ravichander, Eduard H. Hovy, Hinrich Schütze, Yoav Goldberg:
Measuring and Improving Consistency in Pretrained Language Models. CoRR abs/2102.01017 (2021) - [i16]Alon Jacovi, Swabha Swayamdipta, Shauli Ravfogel, Yanai Elazar, Yejin Choi, Yoav Goldberg:
Contrastive Explanations for Model Interpretability. CoRR abs/2103.01378 (2021) - [i15]Yanai Elazar, Hongming Zhang, Yoav Goldberg, Dan Roth:
Back to Square One: Bias Detection, Training and Commonsense Disentanglement in the Winograd Schema. CoRR abs/2104.08161 (2021) - [i14]Ofer Sabo, Yanai Elazar, Yoav Goldberg, Ido Dagan:
Revisiting Few-shot Relation Classification: Evaluation Data and Classification Schemes. CoRR abs/2104.08481 (2021) - [i13]Yanai Elazar, Victoria Basmova, Yoav Goldberg, Reut Tsarfaty:
Text-based NP Enrichment. CoRR abs/2109.12085 (2021) - 2020
- [j2]Alon Talmor, Yanai Elazar, Yoav Goldberg, Jonathan Berant:
oLMpics - On what Language Model Pre-training Captures. Trans. Assoc. Comput. Linguistics 8: 743-758 (2020) - [c11]Shauli Ravfogel, Yanai Elazar, Hila Gonen, Michael Twiton, Yoav Goldberg:
Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection. ACL 2020: 7237-7256 - [c10]Yanai Elazar, Victoria Basmova, Shauli Ravfogel, Yoav Goldberg, Reut Tsarfaty:
The Extraordinary Failure of Complement Coercion Crowdsourcing. Insights 2020: 106-116 - [c9]Hila Gonen, Shauli Ravfogel, Yanai Elazar, Yoav Goldberg:
It's not Greek to mBERT: Inducing Word-Level Translations from Multilingual BERT. BlackboxNLP@EMNLP 2020: 45-56 - [c8]Shauli Ravfogel, Yanai Elazar, Jacob Goldberger, Yoav Goldberg:
Unsupervised Distillation of Syntactic Information from Contextualized Word Representations. BlackboxNLP@EMNLP 2020: 91-106 - [c7]Xikun Zhang, Deepak Ramachandran, Ian Tenney, Yanai Elazar, Dan Roth:
Do Language Embeddings capture Scales? BlackboxNLP@EMNLP 2020: 292-299 - [c6]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: 1307-1323 - [c5]Xikun Zhang, Deepak Ramachandran, Ian Tenney, Yanai Elazar, Dan Roth:
Do Language Embeddings capture Scales? EMNLP (Findings) 2020: 4889-4896 - [i12]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 abs/2004.02709 (2020) - [i11]Shauli Ravfogel, Yanai Elazar, Hila Gonen, Michael Twiton, Yoav Goldberg:
Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection. CoRR abs/2004.07667 (2020) - [i10]Yanai Elazar, Shauli Ravfogel, Alon Jacovi, Yoav Goldberg:
When Bert Forgets How To POS: Amnesic Probing of Linguistic Properties and MLM Predictions. CoRR abs/2006.00995 (2020) - [i9]Shauli Ravfogel, Yanai Elazar, Jacob Goldberger, Yoav Goldberg:
Unsupervised Distillation of Syntactic Information from Contextualized Word Representations. CoRR abs/2010.05265 (2020) - [i8]Xikun Zhang, Deepak Ramachandran, Ian Tenney, Yanai Elazar, Dan Roth:
Do Language Embeddings Capture Scales? CoRR abs/2010.05345 (2020) - [i7]Yanai Elazar, Victoria Basmova, Shauli Ravfogel, Yoav Goldberg, Reut Tsarfaty:
The Extraordinary Failure of Complement Coercion Crowdsourcing. CoRR abs/2010.05971 (2020) - [i6]Hila Gonen, Shauli Ravfogel, Yanai Elazar, Yoav Goldberg:
It's not Greek to mBERT: Inducing Word-Level Translations from Multilingual BERT. CoRR abs/2010.08275 (2020)
2010 – 2019
- 2019
- [j1]Yanai Elazar, Yoav Goldberg:
Where's My Head? Definition, Dataset and Models for Numeric Fused-Heads Identification and Resolution. Trans. Assoc. Comput. Linguistics 7: 519-535 (2019) - [c4]Yanai Elazar, Abhijit Mahabal, Deepak Ramachandran, Tania Bedrax-Weiss, Dan Roth:
How Large Are Lions? Inducing Distributions over Quantitative Attributes. ACL (1) 2019: 3973-3983 - [c3]Maria Barrett, Yova Kementchedjhieva, Yanai Elazar, Desmond Elliott, Anders Søgaard:
Adversarial Removal of Demographic Attributes Revisited. EMNLP/IJCNLP (1) 2019: 6329-6334 - [c2]Yehezkel S. Resheff, Yanai Elazar, Moni Shahar, Oren Sar Shalom:
Privacy and Fairness in Recommender Systems via Adversarial Training of User Representations. ICPRAM 2019: 476-482 - [i5]Yanai Elazar, Yoav Goldberg:
Where's My Head? Definition, Dataset and Models for Numeric Fused-Heads Identification and Resolution. CoRR abs/1905.10886 (2019) - [i4]Yanai Elazar, Abhijit Mahabal, Deepak Ramachandran, Tania Bedrax-Weiss, Dan Roth:
How Large Are Lions? Inducing Distributions over Quantitative Attributes. CoRR abs/1906.01327 (2019) - [i3]Alon Talmor, Yanai Elazar, Yoav Goldberg, Jonathan Berant:
oLMpics - On what Language Model Pre-training Captures. CoRR abs/1912.13283 (2019) - 2018
- [c1]Yanai Elazar, Yoav Goldberg:
Adversarial Removal of Demographic Attributes from Text Data. EMNLP 2018: 11-21 - [i2]Yehezkel S. Resheff, Yanai Elazar, Moni Shahar, Oren Sar Shalom:
Privacy-Adversarial User Representations in Recommender Systems. CoRR abs/1807.03521 (2018) - [i1]Yanai Elazar, Yoav Goldberg:
Adversarial Removal of Demographic Attributes from Text Data. CoRR abs/1808.06640 (2018)
Coauthor Index
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