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ORCIDJonathan Berant
Person information
- affiliation: Allen Institute for Artificial Intelligence, Tel Aviv, Israel
- affiliation: Tel-Aviv University, Israel
- affiliation (former): Stanford University, USA
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Books and Theses
- 2012
[b1]Jonathan Berant:
Global learning of textual entailment graphs. Tel Aviv University, Israel, 2012
Journal Articles
- 2024
- [j12]Oren Kobo
, Aya Meltzer-Asscher, Jonathan Berant, Tom Schonberg:
Classification of depression tendency from gaze patterns during sentence reading. Biomed. Signal Process. Control. 93: 106015 (2024) - 2023
- [j11]Maor Ivgi, Uri Shaham, Jonathan Berant:
Efficient Long-Text Understanding with Short-Text Models. Trans. Assoc. Comput. Linguistics 11: 284-299 (2023) - [j10]Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang, Alicia Parrish, Allen Nie, Aman Hussain, Amanda Askell, Amanda Dsouza, Ambrose Slone, Ameet Rahane, Anantharaman S. Iyer, Anders Andreassen, Andrea Madotto, Andrea Santilli, Andreas Stuhlmüller, Andrew M. Dai, Andrew La, Andrew K. Lampinen, Andy Zou, Angela Jiang, Angelica Chen, Anh Vuong, Animesh Gupta, Anna Gottardi, Antonio Norelli, Anu Venkatesh, Arash Gholamidavoodi, Arfa Tabassum, Arul Menezes, Arun Kirubarajan, Asher Mullokandov, Ashish Sabharwal, Austin Herrick, Avia Efrat, Aykut Erdem, Ayla Karakas, B. Ryan Roberts, Bao Sheng Loe, Barret Zoph, Bartlomiej Bojanowski, Batuhan Özyurt, Behnam Hedayatnia, Behnam Neyshabur, Benjamin Inden, Benno Stein, Berk Ekmekci, Bill Yuchen Lin, Blake Howald, Bryan Orinion, Cameron Diao, Cameron Dour, Catherine Stinson, Cedrick Argueta, Cèsar Ferri Ramírez, Chandan Singh, Charles Rathkopf, Chenlin Meng, Chitta Baral, Chiyu Wu, Chris Callison-Burch, Chris Waites, Christian Voigt, Christopher D. Manning, Christopher Potts, Cindy Ramirez, Clara E. Rivera, Clemencia Siro, Colin Raffel, Courtney Ashcraft, Cristina Garbacea, Damien Sileo, Dan Garrette, Dan Hendrycks, Dan Kilman, Dan Roth, Daniel Freeman, Daniel Khashabi, Daniel Levy, Daniel Moseguí González, Danielle Perszyk, Danny Hernandez, Danqi Chen, Daphne Ippolito, Dar Gilboa, David Dohan, David Drakard, David Jurgens, Debajyoti Datta, Deep Ganguli, Denis Emelin, Denis Kleyko, Deniz Yuret, Derek Chen, Derek Tam, Dieuwke Hupkes, Diganta Misra, Dilyar Buzan, Dimitri Coelho Mollo, Diyi Yang, Dong-Ho Lee, Dylan Schrader, Ekaterina Shutova, Ekin Dogus Cubuk, Elad Segal, Eleanor Hagerman, Elizabeth Barnes, Elizabeth Donoway, Ellie Pavlick, Emanuele Rodolà, Emma Lam, Eric Chu, Eric Tang, Erkut Erdem, Ernie Chang, Ethan A. Chi, Ethan Dyer, Ethan J. Jerzak, Ethan Kim, Eunice Engefu Manyasi, Evgenii Zheltonozhskii, Fanyue Xia, Fatemeh Siar, Fernando Martínez-Plumed, Francesca Happé, François Chollet, Frieda Rong, Gaurav Mishra, Genta Indra Winata, Gerard de Melo, Germán Kruszewski, Giambattista Parascandolo, Giorgio Mariani, Gloria Wang, Gonzalo Jaimovitch-López, Gregor Betz, Guy Gur-Ari, Hana Galijasevic, Hannah Kim, Hannah Rashkin, Hannaneh Hajishirzi, Harsh Mehta, Hayden Bogar, Henry Shevlin, Hinrich Schütze, Hiromu Yakura, Hongming Zhang, Hugh Mee Wong, Ian Ng, Isaac Noble, Jaap Jumelet, Jack Geissinger, Jackson Kernion, Jacob Hilton, Jaehoon Lee, Jaime Fernández Fisac, James B. Simon, James Koppel, James Zheng, James Zou, Jan Kocon, Jana Thompson, Janelle Wingfield, Jared Kaplan, Jarema Radom, Jascha Sohl-Dickstein, Jason Phang, Jason Wei, Jason Yosinski, Jekaterina Novikova, Jelle Bosscher, Jennifer Marsh, Jeremy Kim, Jeroen Taal, Jesse H. Engel, Jesujoba Alabi, Jiacheng Xu, Jiaming Song, Jillian Tang, Joan Waweru, John Burden, John Miller, John U. Balis, Jonathan Batchelder, Jonathan Berant, Jörg Frohberg, Jos Rozen, José Hernández-Orallo, Joseph Boudeman, Joseph Guerr, Joseph Jones, Joshua B. Tenenbaum, Joshua S. Rule, Joyce Chua, Kamil Kanclerz, Karen Livescu, Karl Krauth, Karthik Gopalakrishnan, Katerina Ignatyeva, Katja Markert, Kaustubh D. Dhole, Kevin Gimpel, Kevin Omondi, Kory Mathewson, Kristen Chiafullo, Ksenia Shkaruta, Kumar Shridhar, Kyle McDonell, Kyle Richardson, Laria Reynolds, Leo Gao, Li Zhang, Liam Dugan, Lianhui Qin, Lidia Contreras Ochando, Louis-Philippe Morency, Luca Moschella, Lucas Lam, Lucy Noble, Ludwig Schmidt, Luheng He, Luis Oliveros Colón, Luke Metz, Lütfi Kerem Senel, Maarten Bosma, Maarten Sap, Maartje ter Hoeve, Maheen Farooqi, Manaal Faruqui, Mantas Mazeika, Marco Baturan, Marco Marelli, Marco Maru, María José Ramírez-Quintana, Marie Tolkiehn, Mario Giulianelli, Martha Lewis, Martin Potthast, Matthew L. Leavitt, Matthias Hagen, Mátyás Schubert, Medina Baitemirova, Melody Arnaud, Melvin McElrath, Michael A. Yee, Michael Cohen, Michael Gu, Michael I. Ivanitskiy, Michael Starritt, Michael Strube, Michal Swedrowski, Michele Bevilacqua, Michihiro Yasunaga, Mihir Kale, Mike Cain, Mimee Xu, Mirac Suzgun, Mitch Walker, Mo Tiwari, Mohit Bansal, Moin Aminnaseri, Mor Geva, Mozhdeh Gheini, Mukund Varma T., Nanyun Peng, Nathan A. Chi, Nayeon Lee, Neta Gur-Ari Krakover, Nicholas Cameron, Nicholas Roberts, Nick Doiron, Nicole Martinez, Nikita Nangia, Niklas Deckers, Niklas Muennighoff, Nitish Shirish Keskar, Niveditha Iyer, Noah Constant, Noah Fiedel, Nuan Wen, Oliver Zhang, Omar Agha, Omar Elbaghdadi, Omer Levy, Owain Evans, Pablo Antonio Moreno Casares, Parth Doshi, Pascale Fung, Paul Pu Liang, Paul Vicol, Pegah Alipoormolabashi, Peiyuan Liao, Percy Liang, Peter Chang, Peter Eckersley, Phu Mon Htut, Pinyu Hwang, Piotr Milkowski, Piyush Patil, Pouya Pezeshkpour, Priti Oli, Qiaozhu Mei, Qing Lyu, Qinlang Chen, Rabin Banjade, Rachel Etta Rudolph, Raefer Gabriel, Rahel Habacker, Ramon Risco, Raphaël Millière, Rhythm Garg, Richard Barnes, Rif A. Saurous, Riku Arakawa, Robbe Raymaekers, Robert Frank, Rohan Sikand, Roman Novak, Roman Sitelew, Ronan LeBras, Rosanne Liu, Rowan Jacobs, Rui Zhang, Ruslan Salakhutdinov, Ryan Chi, Ryan Lee, Ryan Stovall, Ryan Teehan, Rylan Yang, Sahib Singh, Saif M. Mohammad, Sajant Anand, Sam Dillavou, Sam Shleifer, Sam Wiseman, Samuel Gruetter, Samuel R. Bowman, Samuel S. Schoenholz, Sanghyun Han, Sanjeev Kwatra, Sarah A. Rous, Sarik Ghazarian, Sayan Ghosh, Sean Casey, Sebastian Bischoff, Sebastian Gehrmann, Sebastian Schuster, Sepideh Sadeghi, Shadi Hamdan, Sharon Zhou, Shashank Srivastava, Sherry Shi, Shikhar Singh, Shima Asaadi, Shixiang Shane Gu, Shubh Pachchigar, Shubham Toshniwal, Shyam Upadhyay, Shyamolima (Shammie) Debnath, Siamak Shakeri, Simon Thormeyer, Simone Melzi, Siva Reddy, Sneha Priscilla Makini, Soo-Hwan Lee, Spencer Torene, Sriharsha Hatwar, Stanislas Dehaene, Stefan Divic, Stefano Ermon, Stella Biderman, Stephanie Lin, Stephen Prasad, Steven T. Piantadosi, Stuart M. Shieber, Summer Misherghi, Svetlana Kiritchenko, Swaroop Mishra, Tal Linzen, Tal Schuster, Tao Li, Tao Yu, Tariq Ali, Tatsu Hashimoto, Te-Lin Wu, Théo Desbordes, Theodore Rothschild, Thomas Phan, Tianle Wang, Tiberius Nkinyili, Timo Schick, Timofei Kornev, Titus Tunduny, Tobias Gerstenberg, Trenton Chang, Trishala Neeraj, Tushar Khot, Tyler Shultz, Uri Shaham, Vedant Misra, Vera Demberg, Victoria Nyamai, Vikas Raunak, Vinay V. Ramasesh, Vinay Uday Prabhu, Vishakh Padmakumar, Vivek Srikumar, William Fedus, William Saunders, William Zhang, Wout Vossen, Xiang Ren, Xiaoyu Tong, Xinran Zhao, Xinyi Wu, Xudong Shen, Yadollah Yaghoobzadeh, Yair Lakretz, Yangqiu Song, Yasaman Bahri, Yejin Choi, Yichi Yang, Yiding Hao, Yifu Chen, Yonatan Belinkov, Yu Hou, Yufang Hou, Yuntao Bai, Zachary Seid, Zhuoye Zhao, Zijian Wang, Zijie J. Wang, Zirui Wang, Ziyi Wu:
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. Trans. Mach. Learn. Res. 2023 (2023) - 2022
- [j9]Mor Geva, Tomer Wolfson, Jonathan Berant:
Break, Perturb, Build: Automatic Perturbation of Reasoning Paths Through Question Decomposition. Trans. Assoc. Comput. Linguistics 10: 111-126 (2022) - 2021
- [j8]Ben Bogin, Sanjay Subramanian, Matt Gardner, Jonathan Berant:
Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering. Trans. Assoc. Comput. Linguistics 9: 195-210 (2021) - [j7]Mor Geva, Daniel Khashabi, Elad Segal, Tushar Khot, Dan Roth, Jonathan Berant:
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies. Trans. Assoc. Comput. Linguistics 9: 346-361 (2021) - 2020
- [j6]Tomer Wolfson, Mor Geva, Ankit Gupta, Yoav Goldberg, Matt Gardner, Daniel Deutch, Jonathan Berant:
Break It Down: A Question Understanding Benchmark. Trans. Assoc. Comput. Linguistics 8: 183-198 (2020) - [j5]Alon Talmor, Yanai Elazar, Yoav Goldberg, Jonathan Berant:
oLMpics - On what Language Model Pre-training Captures. Trans. Assoc. Comput. Linguistics 8: 743-758 (2020) - 2015
- [j4]Jonathan Berant, Noga Alon, Ido Dagan, Jacob Goldberger:
Efficient Global Learning of Entailment Graphs. Comput. Linguistics 41(2): 249-291 (2015) - [j3]Roy Bar-Haim, Ido Dagan, Jonathan Berant:
Knowledge-Based Textual Inference via Parse-Tree Transformations. J. Artif. Intell. Res. 54: 1-57 (2015) - [j2]Jonathan Berant, Percy Liang:
Imitation Learning of Agenda-based Semantic Parsers. Trans. Assoc. Comput. Linguistics 3: 545-558 (2015) - 2012
- [j1]Jonathan Berant, Ido Dagan, Jacob Goldberger:
Learning Entailment Relations by Global Graph Structure Optimization. Comput. Linguistics 38(1): 73-111 (2012)
Conference and Workshop Papers
- 2024
- [c87]Samuel Joseph Amouyal, Aya Meltzer-Asscher, Jonathan Berant:
Large Language Models for Psycholinguistic Plausibility Pretesting. EACL (Findings) 2024: 166-181 - [c86]Ido Amos, Jonathan Berant, Ankit Gupta:
Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven Priors. ICLR 2024 - [c85]Ori Yoran, Tomer Wolfson, Ori Ram, Jonathan Berant:
Making Retrieval-Augmented Language Models Robust to Irrelevant Context. ICLR 2024 - [c84]Zihao Wang, Chirag Nagpal, Jonathan Berant, Jacob Eisenstein, Alexander Nicholas D'Amour, Sanmi Koyejo, Victor Veitch:
Transforming and Combining Rewards for Aligning Large Language Models. ICML 2024 - [c83]Tal Schuster, Ádám D. Lelkes, Haitian Sun, Jai Gupta, Jonathan Berant, William W. Cohen, Donald Metzler:
SEMQA: Semi-Extractive Multi-Source Question Answering. NAACL-HLT 2024: 1363-1381 - 2023
- [c82]Itay Levy, Ben Bogin, Jonathan Berant:
Diverse Demonstrations Improve In-context Compositional Generalization. ACL (1) 2023: 1401-1422 - [c81]Ori Ram, Liat Bezalel, Adi Zicher, Yonatan Belinkov, Jonathan Berant, Amir Globerson:
What Are You Token About? Dense Retrieval as Distributions Over the Vocabulary. ACL (1) 2023: 2481-2498 - [c80]Guy Dar, Mor Geva, Ankit Gupta, Jonathan Berant:
Analyzing Transformers in Embedding Space. ACL (1) 2023: 16124-16170 - [c79]Roi Cohen, Mor Geva, Jonathan Berant, Amir Globerson:
Crawling The Internal Knowledge-Base of Language Models. EACL (Findings) 2023: 1811-1824 - [c78]Ori Yoran, Tomer Wolfson, Ben Bogin, Uri Katz, Daniel Deutch, Jonathan Berant:
Answering Questions by Meta-Reasoning over Multiple Chains of Thought. EMNLP 2023: 5942-5966 - [c77]Uri Shaham, Maor Ivgi, Avia Efrat, Jonathan Berant, Omer Levy:
ZeroSCROLLS: A Zero-Shot Benchmark for Long Text Understanding. EMNLP (Findings) 2023: 7977-7989 - [c76]Peter Shaw, Mandar Joshi, James Cohan, Jonathan Berant, Panupong Pasupat, Hexiang Hu, Urvashi Khandelwal, Kenton Lee, Kristina Toutanova:
From Pixels to UI Actions: Learning to Follow Instructions via Graphical User Interfaces. NeurIPS 2023 - 2022
- [c75]Ori Yoran, Alon Talmor, Jonathan Berant:
Turning Tables: Generating Examples from Semi-structured Tables for Endowing Language Models with Reasoning Skills. ACL (1) 2022: 6016-6031 - [c74]Elad Segal, Ben Bogin, Jonathan Berant:
Training Vision-Language Models with Less Bimodal Supervision. AKBC 2022 - [c73]Uri Katz, Mor Geva, Jonathan Berant:
Inferring Implicit Relations in Complex Questions with Language Models. EMNLP (Findings) 2022: 2548-2566 - [c72]Ben Bogin, Shivanshu Gupta, Jonathan Berant:
Unobserved Local Structures Make Compositional Generalization Hard. EMNLP 2022: 2731-2747 - [c71]Maor Ivgi, Yair Carmon, Jonathan Berant:
Scaling Laws Under the Microscope: Predicting Transformer Performance from Small Scale Experiments. EMNLP (Findings) 2022: 7354-7371 - [c70]Uri Shaham, Elad Segal, Maor Ivgi, Avia Efrat, Ori Yoran, Adi Haviv, Ankit Gupta, Wenhan Xiong, Mor Geva, Jonathan Berant, Omer Levy:
SCROLLS: Standardized CompaRison Over Long Language Sequences. EMNLP 2022: 12007-12021 - [c69]Tomer Wolfson, Daniel Deutch, Jonathan Berant:
Weakly Supervised Text-to-SQL Parsing through Question Decomposition. NAACL-HLT (Findings) 2022: 2528-2542 - [c68]Ohad Rubin, Jonathan Herzig, Jonathan Berant:
Learning To Retrieve Prompts for In-Context Learning. NAACL-HLT 2022: 2655-2671 - [c67]Ori Ram, Gal Shachaf, Omer Levy, Jonathan Berant, Amir Globerson:
Learning to Retrieve Passages without Supervision. NAACL-HLT 2022: 2687-2700 - [c66]Ankit Gupta, Albert Gu, Jonathan Berant:
Diagonal State Spaces are as Effective as Structured State Spaces. NeurIPS 2022 - 2021
- [c65]Jonathan Herzig, Jonathan Berant:
Span-based Semantic Parsing for Compositional Generalization. ACL/IJCNLP (1) 2021: 908-921 - [c64]Ori Ram, Yuval Kirstain, Jonathan Berant, Amir Globerson, Omer Levy:
Few-Shot Question Answering by Pretraining Span Selection. ACL/IJCNLP (1) 2021: 3066-3079 - [c63]Ohad Rubin, Jonathan Berant:
SmBoP: Semi-autoregressive Bottom-up Semantic Parsing. SPNLP@ACL-IJCNLP 2021: 12-21 - [c62]Matan Hasson, Jonathan Berant:
Question Decomposition with Dependency Graphs. AKBC 2021 - [c61]Guy Tevet, Jonathan Berant:
Evaluating the Evaluation of Diversity in Natural Language Generation. EACL 2021: 326-346 - [c60]Adi Haviv, Jonathan Berant, Amir Globerson:
BERTese: Learning to Speak to BERT. EACL 2021: 3618-3623 - [c59]Ankit Gupta, Guy Dar, Shaya Goodman, David Ciprut, Jonathan Berant:
Memory-efficient Transformers via Top-k Attention. SustaiNLP@EMNLP 2021: 39-52 - [c58]Maor Ivgi, Jonathan Berant:
Achieving Model Robustness through Discrete Adversarial Training. EMNLP (1) 2021: 1529-1544 - [c57]Mor Geva, Roei Schuster, Jonathan Berant, Omer Levy:
Transformer Feed-Forward Layers Are Key-Value Memories. EMNLP (1) 2021: 5484-5495 - [c56]Mor Geva, Uri Katz, Aviv Ben-Arie, Jonathan Berant:
What's in Your Head? Emergent Behaviour in Multi-Task Transformer Models. EMNLP (1) 2021: 8201-8215 - [c55]Ankit Gupta, Jonathan Berant:
Value-aware Approximate Attention. EMNLP (1) 2021: 9567-9574 - [c54]Ben Bogin, Shivanshu Gupta, Matt Gardner, Jonathan Berant:
COVR: A Test-Bed for Visually Grounded Compositional Generalization with Real Images. EMNLP (1) 2021: 9824-9846 - [c53]Inbar Oren, Jonathan Herzig, Jonathan Berant:
Finding needles in a haystack: Sampling Structurally-diverse Training Sets from Synthetic Data for Compositional Generalization. EMNLP (1) 2021: 10793-10809 - [c52]Maor Ivgi, Yaniv Benny, Avichai Ben-David, Jonathan Berant, Lior Wolf:
Scene Graph tO Image Generation with Contextualized Object Layout Refinement. ICIP 2021: 2428-2432 - [c51]Alon Talmor, Ori Yoran, Amnon Catav, Dan Lahav, Yizhong Wang, Akari Asai, Gabriel Ilharco, Hannaneh Hajishirzi, Jonathan Berant:
MultiModalQA: complex question answering over text, tables and images. ICLR 2021 - [c50]Ohad Rubin, Jonathan Berant:
SmBoP: Semi-autoregressive Bottom-up Semantic Parsing. NAACL-HLT 2021: 311-324 - [c49]Alon Talmor, Ori Yoran, Ronan Le Bras, Chandra Bhagavatula, Yoav Goldberg, Yejin Choi, Jonathan Berant:
CommonsenseQA 2.0: Exposing the Limits of AI through Gamification. NeurIPS Datasets and Benchmarks 2021 - 2020
- [c48]Mor Geva, Ankit Gupta, Jonathan Berant:
Injecting Numerical Reasoning Skills into Language Models. ACL 2020: 946-958 - [c47]Sanjay Subramanian, Ben Bogin, Nitish Gupta, Tomer Wolfson, Sameer Singh, Jonathan Berant, Matt Gardner:
Obtaining Faithful Interpretations from Compositional Neural Networks. ACL 2020: 5594-5608 - [c46]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 - [c45]Inbar Oren, Jonathan Herzig, Nitish Gupta, Matt Gardner, Jonathan Berant:
Improving Compositional Generalization in Semantic Parsing. EMNLP (Findings) 2020: 2482-2495 - [c44]Elad Segal, Avia Efrat, Mor Shoham, Amir Globerson, Jonathan Berant:
A Simple and Effective Model for Answering Multi-span Questions. EMNLP (1) 2020: 3074-3080 - [c43]Alon Talmor, Oyvind Tafjord, Peter Clark, Yoav Goldberg, Jonathan Berant:
Leap-Of-Thought: Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge. NeurIPS 2020 - [c42]Moshiko Raboh, Roei Herzig, Jonathan Berant, Gal Chechik, Amir Globerson:
Differentiable Scene Graphs. WACV 2020: 1477-1486 - 2019
- [c41]Ben Bogin, Jonathan Berant, Matt Gardner:
Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing. ACL (1) 2019: 4560-4565 - [c40]Alon Talmor, Jonathan Berant:
MultiQA: An Empirical Investigation of Generalization and Transfer in Reading Comprehension. ACL (1) 2019: 4911-4921 - [c39]Matt Gardner, Jonathan Berant, Hannaneh Hajishirzi, Alon Talmor, Sewon Min:
On Making Reading Comprehension More Comprehensive. MRQA@EMNLP 2019: 105-112 - [c38]Omri Koshorek, Gabriel Stanovsky, Yichu Zhou, Vivek Srikumar, Jonathan Berant:
On the Limits of Learning to Actively Learn Semantic Representations. CoNLL 2019: 452-462 - [c37]Mor Geva, Yoav Goldberg, Jonathan Berant:
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets. EMNLP/IJCNLP (1) 2019: 1161-1166 - [c36]Ben Bogin, Matt Gardner, Jonathan Berant:
Global Reasoning over Database Structures for Text-to-SQL Parsing. EMNLP/IJCNLP (1) 2019: 3657-3662 - [c35]Jonathan Herzig, Jonathan Berant:
Don't paraphrase, detect! Rapid and Effective Data Collection for Semantic Parsing. EMNLP/IJCNLP (1) 2019: 3808-3818 - [c34]Jonathan Berant, Daniel Deutch, Amir Globerson, Tova Milo, Tomer Wolfson:
Explaining Queries Over Web Tables to Non-experts. ICDE 2019: 1570-1573 - [c33]Alon Jacovi, Guy Hadash, Einat Kermany, Boaz Carmeli, Ofer Lavi, George Kour, Jonathan Berant:
Neural network gradient-based learning of black-box function interfaces. ICLR (Poster) 2019 - [c32]Yotam Gil, Yoav Chai, Or Gorodissky, Jonathan Berant:
White-to-Black: Efficient Distillation of Black-Box Adversarial Attacks. NAACL-HLT (1) 2019: 1373-1379 - [c31]Dor Muhlgay, Jonathan Herzig, Jonathan Berant:
Value-based Search in Execution Space for Mapping Instructions to Programs. NAACL-HLT (1) 2019: 1942-1954 - [c30]Guy Tevet, Gavriel Habib, Vered Shwartz, Jonathan Berant:
Evaluating Text GANs as Language Models. NAACL-HLT (1) 2019: 2241-2247 - [c29]Mor Geva, Eric Malmi, Idan Szpektor, Jonathan Berant:
DiscoFuse: A Large-Scale Dataset for Discourse-Based Sentence Fusion. NAACL-HLT (1) 2019: 3443-3455 - [c28]Alon Talmor, Jonathan Herzig, Nicholas Lourie, Jonathan Berant:
CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge. NAACL-HLT (1) 2019: 4149-4158 - 2018
- [c27]Omer Goldman, Veronica Latcinnik, Ehud Nave, Amir Globerson, Jonathan Berant:
Weakly Supervised Semantic Parsing with Abstract Examples. ACL (1) 2018: 1809-1819 - [c26]Mor Geva, Jonathan Berant:
Learning to Search in Long Documents Using Document Structure. COLING 2018: 161-176 - [c25]Jonathan Herzig, Jonathan Berant:
Decoupling Structure and Lexicon for Zero-Shot Semantic Parsing. EMNLP 2018: 1619-1629 - [c24]Omri Koshorek, Adir Cohen, Noam Mor, Michael Rotman, Jonathan Berant:
Text Segmentation as a Supervised Learning Task. NAACL-HLT (2) 2018: 469-473 - [c23]Shimi Salant, Jonathan Berant:
Contextualized Word Representations for Reading Comprehension. NAACL-HLT (2) 2018: 554-559 - [c22]Alon Talmor, Jonathan Berant:
The Web as a Knowledge-Base for Answering Complex Questions. NAACL-HLT 2018: 641-651 - [c21]Kyle Richardson, Jonathan Berant, Jonas Kuhn:
Polyglot Semantic Parsing in APIs. NAACL-HLT 2018: 720-730 - [c20]Roei Herzig, Moshiko Raboh, Gal Chechik, Jonathan Berant, Amir Globerson:
Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction. NeurIPS 2018: 7211-7221 - [c19]Chen Liang, Mohammad Norouzi, Jonathan Berant, Quoc V. Le, Ni Lao:
Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing. NeurIPS 2018: 10015-10027 - 2017
- [c18]Chen Liang, Jonathan Berant, Quoc V. Le, Kenneth D. Forbus, Ni Lao:
Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision. ACL (1) 2017: 23-33 - [c17]Eunsol Choi, Daniel Hewlett, Jakob Uszkoreit, Illia Polosukhin, Alexandre Lacoste, Jonathan Berant:
Coarse-to-Fine Question Answering for Long Documents. ACL (1) 2017: 209-220 - [c16]Jonathan Herzig, Jonathan Berant:
Neural Semantic Parsing over Multiple Knowledge-bases. ACL (2) 2017: 623-628 - [c15]Alon Talmor, Mor Geva, Jonathan Berant:
Evaluating Semantic Parsing against a Simple Web-based Question Answering Model. *SEM 2017: 161-167 - 2015
- [c14]Yushi Wang, Jonathan Berant, Percy Liang:
Building a Semantic Parser Overnight. ACL (1) 2015: 1332-1342 - 2014
- [c13]Jonathan Berant, Percy Liang:
Semantic Parsing via Paraphrasing. ACL (1) 2014: 1415-1425 - [c12]Jonathan Berant, Vivek Srikumar, Pei-Chun Chen, Abby Vander Linden, Brittany Harding, Brad Huang, Peter Clark, Christopher D. Manning:
Modeling Biological Processes for Reading Comprehension. EMNLP 2014 - 2013
- [c11]Oren Melamud, Jonathan Berant, Ido Dagan, Jacob Goldberger, Idan Szpektor:
A Two Level Model for Context Sensitive Inference Rules. ACL (1) 2013: 1331-1340 - [c10]Jonathan Berant, Andrew Chou, Roy Frostig, Percy Liang:
Semantic Parsing on Freebase from Question-Answer Pairs. EMNLP 2013: 1533-1544 - [c9]Aju Thalappillil Scaria, Jonathan Berant, Mengqiu Wang, Peter Clark, Justin Lewis, Brittany Harding, Christopher D. Manning:
Learning Biological Processes with Global Constraints. EMNLP 2013: 1710-1720 - 2012
- [c8]Meni Adler, Jonathan Berant, Ido Dagan:
Entailment-based Text Exploration with Application to the Health-care Domain. ACL (System Demonstrations) 2012: 79-84 - [c7]Jonathan Berant, Ido Dagan, Meni Adler, Jacob Goldberger:
Efficient Tree-based Approximation for Entailment Graph Learning. ACL (1) 2012: 117-125 - [c6]Naomi Zeichner, Jonathan Berant, Ido Dagan:
Crowdsourcing Inference-Rule Evaluation. ACL (2) 2012: 156-160 - [c5]Hila Weisman, Jonathan Berant, Idan Szpektor, Ido Dagan:
Learning Verb Inference Rules from Linguistically-Motivated Evidence. EMNLP-CoNLL 2012: 194-204 - 2011
- [c4]Jonathan Berant, Ido Dagan, Jacob Goldberger:
Global Learning of Typed Entailment Rules. ACL 2011: 610-619 - 2010
- [c3]Jonathan Berant, Ido Dagan, Jacob Goldberger:
Global Learning of Focused Entailment Graphs. ACL 2010: 1220-1229 - [c2]Shachar Mirkin, Jonathan Berant, Ido Dagan, Eyal Shnarch:
Recognising Entailment within Discourse. COLING 2010: 770-778 - 2009
- [c1]Roy Bar-Haim, Jonathan Berant, Ido Dagan:
A Compact Forest for Scalable Inference over Entailment and Paraphrase Rules. EMNLP 2009: 1056-1065
Parts in Books or Collections
- 2023
- [p1]Jonathan Herzig, Jonathan Berant, Ben Bogin:
Latent Trees for Compositional Generalization. Compendium of Neurosymbolic Artificial Intelligence 2023: 631-664
Editorship
- 2021
- [e3]Danqi Chen, Jonathan Berant, Andrew McCallum, Sameer Singh:
3rd Conference on Automated Knowledge Base Construction, AKBC 2021, Virtual, October 4-8, 2021. 2021 [contents] - 2018
- [e2]Eunsol Choi, Minjoon Seo, Danqi Chen, Robin Jia, Jonathan Berant:
Proceedings of the Workshop on Machine Reading for Question Answering@ACL 2018, Melbourne, Australia, July 19, 2018. Association for Computational Linguistics 2018, ISBN 978-1-948087-39-1 [contents] - [e1]Malvina Nissim, Jonathan Berant, Alessandro Lenci:
Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics, *SEM@NAACL-HLT 2018, New Orleans, Louisiana, USA, June 5-6, 2018. Association for Computational Linguistics 2018, ISBN 978-1-948087-22-3 [contents]
Informal and Other Publications
- 2024
- [i102]Ahmad Beirami, Alekh Agarwal, Jonathan Berant, Alexander D'Amour, Jacob Eisenstein, Chirag Nagpal, Ananda Theertha Suresh:
Theoretical guarantees on the best-of-n alignment policy. CoRR abs/2401.01879 (2024) - [i101]Zihao Wang, Chirag Nagpal, Jonathan Berant, Jacob Eisenstein, Alex D'Amour, Sanmi Koyejo, Victor Veitch:
Transforming and Combining Rewards for Aligning Large Language Models. CoRR abs/2402.00742 (2024) - [i100]Samuel Joseph Amouyal, Aya Meltzer-Asscher, Jonathan Berant:
Large Language Models for Psycholinguistic Plausibility Pretesting. CoRR abs/2402.05455 (2024) - [i99]Amanda Bertsch, Maor Ivgi, Uri Alon, Jonathan Berant, Matthew R. Gormley, Graham Neubig:
In-Context Learning with Long-Context Models: An In-Depth Exploration. CoRR abs/2405.00200 (2024) - [i98]Chaitanya Malaviya, Priyanka Agrawal, Kuzman Ganchev, Pranesh Srinivasan, Fantine Huot, Jonathan Berant, Mark Yatskar, Dipanjan Das, Mirella Lapata, Chris Alberti:
DOLOMITES: Domain-Specific Long-Form Methodical Tasks. CoRR abs/2405.05938 (2024) - [i97]Adam Fisch, Jacob Eisenstein, Vicky Zayats, Alekh Agarwal, Ahmad Beirami, Chirag Nagpal, Petet Shaw, Jonathan Berant:
Robust Preference Optimization through Reward Model Distillation. CoRR abs/2405.19316 (2024) - [i96]Maor Ivgi, Ori Yoran, Jonathan Berant, Mor Geva:
From Loops to Oops: Fallback Behaviors of Language Models Under Uncertainty. CoRR abs/2407.06071 (2024) - [i95]Ori Yoran, Samuel Joseph Amouyal, Chaitanya Malaviya, Ben Bogin, Ofir Press, Jonathan Berant:
AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks? CoRR abs/2407.15711 (2024) - 2023
- [i94]Roi Cohen, Mor Geva, Jonathan Berant, Amir Globerson:
Crawling the Internal Knowledge-Base of Language Models. CoRR abs/2301.12810 (2023) - [i93]Ori Yoran, Tomer Wolfson, Ben Bogin, Uri Katz, Daniel Deutch, Jonathan Berant:
Answering Questions by Meta-Reasoning over Multiple Chains of Thought. CoRR abs/2304.13007 (2023) - [i92]Uri Shaham, Maor Ivgi, Avia Efrat, Jonathan Berant, Omer Levy:
ZeroSCROLLS: A Zero-Shot Benchmark for Long Text Understanding. CoRR abs/2305.14196 (2023) - [i91]Peter Shaw, Mandar Joshi, James Cohan, Jonathan Berant, Panupong Pasupat, Hexiang Hu, Urvashi Khandelwal, Kenton Lee, Kristina Toutanova:
From Pixels to UI Actions: Learning to Follow Instructions via Graphical User Interfaces. CoRR abs/2306.00245 (2023) - [i90]Ohad Rubin, Jonathan Berant:
Long-range Language Modeling with Self-retrieval. CoRR abs/2306.13421 (2023) - [i89]Ori Yoran, Tomer Wolfson, Ori Ram, Jonathan Berant:
Making Retrieval-Augmented Language Models Robust to Irrelevant Context. CoRR abs/2310.01558 (2023) - [i88]Ido Amos, Jonathan Berant, Ankit Gupta:
Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven Priors. CoRR abs/2310.02980 (2023) - [i87]Tal Schuster, Ádám D. Lelkes, Haitian Sun, Jai Gupta, Jonathan Berant, William W. Cohen, Donald Metzler:
SEMQA: Semi-Extractive Multi-Source Question Answering. CoRR abs/2311.04886 (2023) - [i86]Jacob Eisenstein, Chirag Nagpal, Alekh Agarwal, Ahmad Beirami, Alex D'Amour, Dj Dvijotham, Adam Fisch, Katherine A. Heller, Stephen Pfohl, Deepak Ramachandran, Peter Shaw, Jonathan Berant:
Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate Reward Hacking. CoRR abs/2312.09244 (2023) - 2022
- [i85]Uri Shaham, Elad Segal, Maor Ivgi, Avia Efrat, Ori Yoran, Adi Haviv, Ankit Gupta, Wenhan Xiong, Mor Geva, Jonathan Berant, Omer Levy:
SCROLLS: Standardized CompaRison Over Long Language Sequences. CoRR abs/2201.03533 (2022) - [i84]Alon Talmor, Ori Yoran, Ronan Le Bras, Chandra Bhagavatula, Yoav Goldberg, Yejin Choi, Jonathan Berant:
CommonsenseQA 2.0: Exposing the Limits of AI through Gamification. CoRR abs/2201.05320 (2022) - [i83]Ben Bogin, Shivanshu Gupta, Jonathan Berant:
Unobserved Local Structures Make Compositional Generalization Hard. CoRR abs/2201.05899 (2022) - [i82]Maor Ivgi, Yair Carmon, Jonathan Berant:
Scaling Laws Under the Microscope: Predicting Transformer Performance from Small Scale Experiments. CoRR abs/2202.06387 (2022) - [i81]Uri Katz, Mor Geva, Jonathan Berant:
Inferring Implicit Relations with Language Models. CoRR abs/2204.13778 (2022) - [i80]Samuel Joseph Amouyal, Ohad Rubin, Ori Yoran, Tomer Wolfson, Jonathan Herzig, Jonathan Berant:
QAMPARI: : An Open-domain Question Answering Benchmark for Questions with Many Answers from Multiple Paragraphs. CoRR abs/2205.12665 (2022) - [i79]Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang, Alicia Parrish, Allen Nie, Aman Hussain, Amanda Askell, Amanda Dsouza, Ambrose Slone, Ameet Rahane, Anantharaman S. Iyer, Anders Andreassen, Andrea Madotto, Andrea Santilli, Andreas Stuhlmüller, Andrew M. Dai, Andrew La, Andrew K. Lampinen, Andy Zou, Angela Jiang, Angelica Chen, Anh Vuong, Animesh Gupta, Anna Gottardi, Antonio Norelli, Anu Venkatesh, Arash Gholamidavoodi, Arfa Tabassum, Arul Menezes, Arun Kirubarajan, Asher Mullokandov, Ashish Sabharwal, Austin Herrick, Avia Efrat, Aykut Erdem, Ayla Karakas, B. Ryan Roberts, Bao Sheng Loe, Barret Zoph, Bartlomiej Bojanowski, Batuhan Özyurt, Behnam Hedayatnia, Behnam Neyshabur, Benjamin Inden, Benno Stein, Berk Ekmekci, Bill Yuchen Lin, Blake Howald, Bryan Orinion, Cameron Diao, Cameron Dour, Catherine Stinson, Cedrick Argueta, Cèsar Ferri Ramírez, Chandan Singh, Charles Rathkopf, Chenlin Meng, Chitta Baral, Chiyu Wu, Chris Callison-Burch, Chris Waites, Christian Voigt, Christopher D. Manning, Christopher Potts, Cindy Ramirez, Clara E. Rivera, Clemencia Siro, Colin Raffel, Courtney Ashcraft, Cristina Garbacea, Damien Sileo, Dan Garrette, Dan Hendrycks, Dan Kilman, Dan Roth, Daniel Freeman, Daniel Khashabi, Daniel Levy, Daniel Moseguí González, Danielle Perszyk, Danny Hernandez, Danqi Chen, Daphne Ippolito, Dar Gilboa, David Dohan, David Drakard, David Jurgens, Debajyoti Datta, Deep Ganguli, Denis Emelin, Denis Kleyko, Deniz Yuret, Derek Chen, Derek Tam, Dieuwke Hupkes, Diganta Misra, Dilyar Buzan, Dimitri Coelho Mollo, Diyi Yang, Dong-Ho Lee, Dylan Schrader, Ekaterina Shutova, Ekin Dogus Cubuk, Elad Segal, Eleanor Hagerman, Elizabeth Barnes, Elizabeth Donoway, Ellie Pavlick, Emanuele Rodolà, Emma Lam, Eric Chu, Eric Tang, Erkut Erdem, Ernie Chang, Ethan A. Chi, Ethan Dyer, Ethan J. Jerzak, Ethan Kim, Eunice Engefu Manyasi, Evgenii Zheltonozhskii, Fanyue Xia, Fatemeh Siar, Fernando Martínez-Plumed, Francesca Happé, François Chollet, Frieda Rong, Gaurav Mishra, Genta Indra Winata, Gerard de Melo, Germán Kruszewski, Giambattista Parascandolo, Giorgio Mariani, Gloria Wang, Gonzalo Jaimovitch-López, Gregor Betz, Guy Gur-Ari, Hana Galijasevic, Hannah Kim, Hannah Rashkin, Hannaneh Hajishirzi, Harsh Mehta, Hayden Bogar, Henry Shevlin, Hinrich Schütze, Hiromu Yakura, Hongming Zhang, Hugh Mee Wong, Ian Ng, Isaac Noble, Jaap Jumelet, Jack Geissinger, Jackson Kernion, Jacob Hilton, Jaehoon Lee, Jaime Fernández Fisac, James B. Simon, James Koppel, James Zheng, James Zou, Jan Kocon, Jana Thompson, Janelle Wingfield, Jared Kaplan, Jarema Radom, Jascha Sohl-Dickstein, Jason Phang, Jason Wei, Jason Yosinski, Jekaterina Novikova, Jelle Bosscher, Jennifer Marsh, Jeremy Kim, Jeroen Taal, Jesse H. Engel, Jesujoba Alabi, Jiacheng Xu, Jiaming Song, Jillian Tang, Joan Waweru, John Burden, John Miller, John U. Balis, Jonathan Batchelder, Jonathan Berant, Jörg Frohberg, Jos Rozen, José Hernández-Orallo, Joseph Boudeman, Joseph Guerr, Joseph Jones, Joshua B. Tenenbaum, Joshua S. Rule, Joyce Chua, Kamil Kanclerz, Karen Livescu, Karl Krauth, Karthik Gopalakrishnan, Katerina Ignatyeva, Katja Markert, Kaustubh D. Dhole, Kevin Gimpel, Kevin Omondi, Kory Mathewson, Kristen Chiafullo, Ksenia Shkaruta, Kumar Shridhar, Kyle McDonell, Kyle Richardson, Laria Reynolds, Leo Gao, Li Zhang, Liam Dugan, Lianhui Qin, Lidia Contreras Ochando, Louis-Philippe Morency, Luca Moschella, Lucas Lam, Lucy Noble, Ludwig Schmidt, Luheng He, Luis Oliveros Colón, Luke Metz, Lütfi Kerem Senel, Maarten Bosma, Maarten Sap, Maartje ter Hoeve, Maheen Farooqi, Manaal Faruqui, Mantas Mazeika, Marco Baturan, Marco Marelli, Marco Maru, María José Ramírez-Quintana, Marie Tolkiehn, Mario Giulianelli, Martha Lewis, Martin Potthast, Matthew L. Leavitt, Matthias Hagen, Mátyás Schubert, Medina Baitemirova, Melody Arnaud, Melvin McElrath, Michael A. Yee, Michael Cohen, Michael Gu, Michael I. Ivanitskiy, Michael Starritt, Michael Strube, Michal Swedrowski, Michele Bevilacqua, Michihiro Yasunaga, Mihir Kale, Mike Cain, Mimee Xu, Mirac Suzgun, Mitch Walker, Mo Tiwari, Mohit Bansal, Moin Aminnaseri, Mor Geva, Mozhdeh Gheini, Mukund Varma T., Nanyun Peng, Nathan A. Chi, Nayeon Lee, Neta Gur-Ari Krakover, Nicholas Cameron, Nicholas Roberts, Nick Doiron, Nicole Martinez, Nikita Nangia, Niklas Deckers, Niklas Muennighoff, Nitish Shirish Keskar, Niveditha Iyer, Noah Constant, Noah Fiedel, Nuan Wen, Oliver Zhang, Omar Agha, Omar Elbaghdadi, Omer Levy, Owain Evans, Pablo Antonio Moreno Casares, Parth Doshi, Pascale Fung, Paul Pu Liang, Paul Vicol, Pegah Alipoormolabashi, Peiyuan Liao, Percy Liang, Peter Chang, Peter Eckersley, Phu Mon Htut, Pinyu Hwang, Piotr Milkowski, Piyush Patil, Pouya Pezeshkpour, Priti Oli, Qiaozhu Mei, Qing Lyu, Qinlang Chen, Rabin Banjade, Rachel Etta Rudolph, Raefer Gabriel, Rahel Habacker, Ramon Risco, Raphaël Millière, Rhythm Garg, Richard Barnes, Rif A. Saurous, Riku Arakawa, Robbe Raymaekers, Robert Frank, Rohan Sikand, Roman Novak, Roman Sitelew, Ronan LeBras, Rosanne Liu, Rowan Jacobs, Rui Zhang, Ruslan Salakhutdinov, Ryan Chi, Ryan Lee, Ryan Stovall, Ryan Teehan, Rylan Yang, Sahib Singh, Saif M. Mohammad, Sajant Anand, Sam Dillavou, Sam Shleifer, Sam Wiseman, Samuel Gruetter, Samuel R. Bowman, Samuel S. Schoenholz, Sanghyun Han, Sanjeev Kwatra, Sarah A. Rous, Sarik Ghazarian, Sayan Ghosh, Sean Casey, Sebastian Bischoff, Sebastian Gehrmann, Sebastian Schuster, Sepideh Sadeghi, Shadi Hamdan, Sharon Zhou, Shashank Srivastava, Sherry Shi, Shikhar Singh, Shima Asaadi, Shixiang Shane Gu, Shubh Pachchigar, Shubham Toshniwal, Shyam Upadhyay, Shyamolima (Shammie) Debnath, Siamak Shakeri, Simon Thormeyer, Simone Melzi, Siva Reddy, Sneha Priscilla Makini, Soo-Hwan Lee, Spencer Torene, Sriharsha Hatwar, Stanislas Dehaene, Stefan Divic, Stefano Ermon, Stella Biderman, Stephanie Lin, Stephen Prasad, Steven T. Piantadosi, Stuart M. Shieber, Summer Misherghi, Svetlana Kiritchenko, Swaroop Mishra, Tal Linzen, Tal Schuster, Tao Li, Tao Yu, Tariq Ali, Tatsu Hashimoto, Te-Lin Wu, Théo Desbordes, Theodore Rothschild, Thomas Phan, Tianle Wang, Tiberius Nkinyili, Timo Schick, Timofei Kornev, Titus Tunduny, Tobias Gerstenberg, Trenton Chang, Trishala Neeraj, Tushar Khot, Tyler Shultz, Uri Shaham, Vedant Misra, Vera Demberg, Victoria Nyamai, Vikas Raunak, Vinay V. Ramasesh, Vinay Uday Prabhu, Vishakh Padmakumar, Vivek Srikumar, William Fedus, William Saunders, William Zhang, Wout Vossen, Xiang Ren, Xiaoyu Tong, Xinran Zhao, Xinyi Wu, Xudong Shen, Yadollah Yaghoobzadeh, Yair Lakretz, Yangqiu Song, Yasaman Bahri, Yejin Choi, Yichi Yang, Yiding Hao, Yifu Chen, Yonatan Belinkov, Yu Hou, Yufang Hou, Yuntao Bai, Zachary Seid, Zhuoye Zhao, Zijian Wang, Zijie J. Wang, Zirui Wang, Ziyi Wu:
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. CoRR abs/2206.04615 (2022) - [i78]Maor Ivgi, Uri Shaham, Jonathan Berant:
Efficient Long-Text Understanding with Short-Text Models. CoRR abs/2208.00748 (2022) - [i77]Guy Dar, Mor Geva, Ankit Gupta, Jonathan Berant:
Analyzing Transformers in Embedding Space. CoRR abs/2209.02535 (2022) - [i76]Elad Segal, Ben Bogin, Jonathan Berant:
Training Vision-Language Models with Less Bimodal Supervision. CoRR abs/2211.00262 (2022) - [i75]Ankit Gupta, Harsh Mehta, Jonathan Berant:
Simplifying and Understanding State Space Models with Diagonal Linear RNNs. CoRR abs/2212.00768 (2022) - [i74]Itay Levy, Ben Bogin, Jonathan Berant:
Diverse Demonstrations Improve In-context Compositional Generalization. CoRR abs/2212.06800 (2022) - [i73]Ori Ram, Liat Bezalel, Adi Zicher, Yonatan Belinkov, Jonathan Berant, Amir Globerson:
What Are You Token About? Dense Retrieval as Distributions Over the Vocabulary. CoRR abs/2212.10380 (2022) - 2021
- [i72]Ori Ram, Yuval Kirstain, Jonathan Berant, Amir Globerson, Omer Levy:
Few-Shot Question Answering by Pretraining Span Selection. CoRR abs/2101.00438 (2021) - [i71]Mor Geva, Daniel Khashabi, Elad Segal, Tushar Khot, Dan Roth, Jonathan Berant:
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies. CoRR abs/2101.02235 (2021) - [i70]Adi Haviv, Jonathan Berant, Amir Globerson:
BERTese: Learning to Speak to BERT. CoRR abs/2103.05327 (2021) - [i69]Ankit Gupta, Jonathan Berant:
Value-aware Approximate Attention. CoRR abs/2103.09857 (2021) - [i68]Maor Ivgi, Jonathan Berant:
Achieving Model Robustness through Discrete Adversarial Training. CoRR abs/2104.05062 (2021) - [i67]Alon Talmor, Ori Yoran, Amnon Catav, Dan Lahav, Yizhong Wang, Akari Asai, Gabriel Ilharco, Hannaneh Hajishirzi, Jonathan Berant:
MultiModalQA: Complex Question Answering over Text, Tables and Images. CoRR abs/2104.06039 (2021) - [i66]Mor Geva, Uri Katz, Aviv Ben-Arie, Jonathan Berant:
What's in your Head? Emergent Behaviour in Multi-Task Transformer Models. CoRR abs/2104.06129 (2021) - [i65]Matan Hasson, Jonathan Berant:
Question Decomposition with Dependency Graphs. CoRR abs/2104.08647 (2021) - [i64]Ankit Gupta, Guy Dar, Shaya Goodman, David Ciprut, Jonathan Berant:
Memory-efficient Transformers via Top-k Attention. CoRR abs/2106.06899 (2021) - [i63]Ori Yoran, Alon Talmor, Jonathan Berant:
Turning Tables: Generating Examples from Semi-structured Tables for Endowing Language Models with Reasoning Skills. CoRR abs/2107.07261 (2021) - [i62]Mor Geva, Tomer Wolfson, Jonathan Berant:
Break, Perturb, Build: Automatic Perturbation of Reasoning Paths through Question Decomposition. CoRR abs/2107.13935 (2021) - [i61]Inbar Oren, Jonathan Herzig, Jonathan Berant:
Finding needles in a haystack: Sampling Structurally-diverse Training Sets from Synthetic Data for Compositional Generalization. CoRR abs/2109.02575 (2021) - [i60]Ben Bogin, Shivanshu Gupta, Matt Gardner, Jonathan Berant:
COVR: A test-bed for Visually Grounded Compositional Generalization with real images. CoRR abs/2109.10613 (2021) - [i59]Tomer Wolfson, Jonathan Berant, Daniel Deutch:
Weakly Supervised Mapping of Natural Language to SQL through Question Decomposition. CoRR abs/2112.06311 (2021) - [i58]Ori Ram, Gal Shachaf, Omer Levy, Jonathan Berant, Amir Globerson:
Learning to Retrieve Passages without Supervision. CoRR abs/2112.07708 (2021) - [i57]Ohad Rubin, Jonathan Herzig, Jonathan Berant:
Learning To Retrieve Prompts for In-Context Learning. CoRR abs/2112.08633 (2021) - 2020
- [i56]Tomer Wolfson, Mor Geva, Ankit Gupta, Matt Gardner, Yoav Goldberg, Daniel Deutch, Jonathan Berant:
Break It Down: A Question Understanding Benchmark. CoRR abs/2001.11770 (2020) - [i55]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) - [i54]Guy Tevet, Jonathan Berant:
Evaluating the Evaluation of Diversity in Natural Language Generation. CoRR abs/2004.02990 (2020) - [i53]Mor Geva, Ankit Gupta, Jonathan Berant:
Injecting Numerical Reasoning Skills into Language Models. CoRR abs/2004.04487 (2020) - [i52]Veronica Latcinnik, Jonathan Berant:
Explaining Question Answering Models through Text Generation. CoRR abs/2004.05569 (2020) - [i51]Sanjay Subramanian, Ben Bogin, Nitish Gupta, Tomer Wolfson, Sameer Singh, Jonathan Berant, Matt Gardner:
Obtaining Faithful Interpretations from Compositional Neural Networks. CoRR abs/2005.00724 (2020) - [i50]Ankit Gupta, Jonathan Berant:
GMAT: Global Memory Augmentation for Transformers. CoRR abs/2006.03274 (2020) - [i49]Alon Talmor, Oyvind Tafjord, Peter Clark, Yoav Goldberg, Jonathan Berant:
Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge. CoRR abs/2006.06609 (2020) - [i48]Ben Bogin, Sanjay Subramanian, Matt Gardner, Jonathan Berant:
Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering. CoRR abs/2007.00266 (2020) - [i47]Yichu Zhou, Omri Koshorek, Vivek Srikumar, Jonathan Berant:
A Simple Global Neural Discourse Parser. CoRR abs/2009.01312 (2020) - [i46]Jonathan Herzig, Jonathan Berant:
Span-based Semantic Parsing for Compositional Generalization. CoRR abs/2009.06040 (2020) - [i45]Maor Ivgi, Yaniv Benny, Avichai Ben-David, Jonathan Berant, Lior Wolf:
Scene Graph to Image Generation with Contextualized Object Layout Refinement. CoRR abs/2009.10939 (2020) - [i44]Achiya Jerbi, Roei Herzig, Jonathan Berant, Gal Chechik, Amir Globerson:
Learning Object Detection from Captions via Textual Scene Attributes. CoRR abs/2009.14558 (2020) - [i43]Inbar Oren, Jonathan Herzig, Nitish Gupta, Matt Gardner, Jonathan Berant:
Improving Compositional Generalization in Semantic Parsing. CoRR abs/2010.05647 (2020) - [i42]Ohad Rubin, Jonathan Berant:
SmBoP: Semi-autoregressive Bottom-up Semantic Parsing. CoRR abs/2010.12412 (2020) - [i41]Mor Geva, Roei Schuster, Jonathan Berant, Omer Levy:
Transformer Feed-Forward Layers Are Key-Value Memories. CoRR abs/2012.14913 (2020) - 2019
- [i40]Alon Jacovi, Guy Hadash, Einat Kermany, Boaz Carmeli, Ofer Lavi, George Kour, Jonathan Berant:
Neural network gradient-based learning of black-box function interfaces. CoRR abs/1901.03995 (2019) - [i39]Moshiko Raboh, Roei Herzig, Gal Chechik, Jonathan Berant, Amir Globerson:
Learning Latent Scene-Graph Representations for Referring Relationships. CoRR abs/1902.10200 (2019) - [i38]Mor Geva, Eric Malmi, Idan Szpektor, Jonathan Berant:
DiscoFuse: A Large-Scale Dataset for Discourse-based Sentence Fusion. CoRR abs/1902.10526 (2019) - [i37]Yotam Gil, Yoav Chai, Or Gorodissky, Jonathan Berant:
White-to-Black: Efficient Distillation of Black-Box Adversarial Attacks. CoRR abs/1904.02405 (2019) - [i36]Ben Bogin, Matt Gardner, Jonathan Berant:
Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing. CoRR abs/1905.06241 (2019) - [i35]Kevin Lin, Ben Bogin, Mark Neumann, Jonathan Berant, Matt Gardner:
Grammar-based Neural Text-to-SQL Generation. CoRR abs/1905.13326 (2019) - [i34]Alon Talmor, Jonathan Berant:
MultiQA: An Empirical Investigation of Generalization and Transfer in Reading Comprehension. CoRR abs/1905.13453 (2019) - [i33]Mor Geva, Yoav Goldberg, Jonathan Berant:
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets. CoRR abs/1908.07898 (2019) - [i32]Jonathan Herzig, Jonathan Berant:
Don't paraphrase, detect! Rapid and Effective Data Collection for Semantic Parsing. CoRR abs/1908.09940 (2019) - [i31]Ben Bogin, Matt Gardner, Jonathan Berant:
Global Reasoning over Database Structures for Text-to-SQL Parsing. CoRR abs/1908.11214 (2019) - [i30]Matt Gardner, Jonathan Berant, Hannaneh Hajishirzi, Alon Talmor, Sewon Min:
Question Answering is a Format; When is it Useful? CoRR abs/1909.11291 (2019) - [i29]Omri Koshorek, Gabriel Stanovsky, Yichu Zhou, Vivek Srikumar, Jonathan Berant:
On the Limits of Learning to Actively Learn Semantic Representations. CoRR abs/1910.02228 (2019) - [i28]Alon Talmor, Yanai Elazar, Yoav Goldberg, Jonathan Berant:
oLMpics - On what Language Model Pre-training Captures. CoRR abs/1912.13283 (2019) - 2018
- [i27]Roei Herzig, Moshiko Raboh, Gal Chechik, Jonathan Berant, Amir Globerson:
Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction. CoRR abs/1802.05451 (2018) - [i26]Alon Talmor, Jonathan Berant:
The Web as a Knowledge-base for Answering Complex Questions. CoRR abs/1803.06643 (2018) - [i25]Kyle Richardson, Jonathan Berant, Jonas Kuhn:
Polyglot Semantic Parsing in APIs. CoRR abs/1803.06966 (2018) - [i24]Omri Koshorek, Adir Cohen, Noam Mor, Michael Rotman, Jonathan Berant:
Text Segmentation as a Supervised Learning Task. CoRR abs/1803.09337 (2018) - [i23]Jonathan Herzig, Jonathan Berant:
Decoupling Structure and Lexicon for Zero-Shot Semantic Parsing. CoRR abs/1804.07918 (2018) - [i22]Mor Geva, Jonathan Berant:
Learning to Search in Long Documents Using Document Structure. CoRR abs/1806.03529 (2018) - [i21]Chen Liang, Mohammad Norouzi, Jonathan Berant, Quoc V. Le, Ni Lao:
Memory Augmented Policy Optimization for Program Synthesis with Generalization. CoRR abs/1807.02322 (2018) - [i20]Alon Talmor, Jonathan Berant:
Repartitioning of the ComplexWebQuestions Dataset. CoRR abs/1807.09623 (2018) - [i19]Jonathan Berant, Daniel Deutch, Amir Globerson, Tova Milo, Tomer Wolfson:
Explaining Queries over Web Tables to Non-Experts. CoRR abs/1808.04614 (2018) - [i18]Ben Bogin, Mor Geva, Jonathan Berant:
Emergence of Communication in an Interactive World with Consistent Speakers. CoRR abs/1809.00549 (2018) - [i17]Guy Tevet, Gavriel Habib, Vered Shwartz, Jonathan Berant:
Evaluating Text GANs as Language Models. CoRR abs/1810.12686 (2018) - [i16]Alon Talmor, Jonathan Herzig, Nicholas Lourie, Jonathan Berant:
CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge. CoRR abs/1811.00937 (2018) - [i15]Dor Muhlgay, Jonathan Herzig, Jonathan Berant:
Value-based Search in Execution Space for Mapping Instructions to Programs. CoRR abs/1811.01090 (2018) - 2017
- [i14]Jonathan Herzig, Jonathan Berant:
Neural Semantic Parsing over Multiple Knowledge-bases. CoRR abs/1702.01569 (2017) - [i13]Ofir Press, Amir Bar, Ben Bogin, Jonathan Berant, Lior Wolf:
Language Generation with Recurrent Generative Adversarial Networks without Pre-training. CoRR abs/1706.01399 (2017) - [i12]Alon Talmor, Mor Geva, Jonathan Berant:
Evaluating Semantic Parsing against a Simple Web-based Question Answering Model. CoRR abs/1707.04412 (2017) - [i11]Mor Cohen, Avi Caciularu, Idan Rejwan, Jonathan Berant:
Inducing Regular Grammars Using Recurrent Neural Networks. CoRR abs/1710.10453 (2017) - [i10]Omer Goldman, Veronica Latcinnik, Udi Naveh, Amir Globerson, Jonathan Berant:
Weakly-supervised Semantic Parsing with Abstract Examples. CoRR abs/1711.05240 (2017) - [i9]Shimi Salant, Jonathan Berant:
Contextualized Word Representations for Reading Comprehension. CoRR abs/1712.03609 (2017) - 2016
- [i8]Yuval Atzmon, Jonathan Berant, Vahid Kezami, Amir Globerson, Gal Chechik:
Learning to generalize to new compositions in image understanding. CoRR abs/1608.07639 (2016) - [i7]Chen Liang, Jonathan Berant, Quoc V. Le, Kenneth D. Forbus, Ni Lao:
Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision. CoRR abs/1611.00020 (2016) - [i6]Eunsol Choi, Daniel Hewlett, Alexandre Lacoste, Illia Polosukhin, Jakob Uszkoreit, Jonathan Berant:
Hierarchical Question Answering for Long Documents. CoRR abs/1611.01839 (2016) - [i5]Chen Liang, Jonathan Berant, Quoc V. Le, Kenneth D. Forbus, Ni Lao:
Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision (Short Version). CoRR abs/1612.01197 (2016) - 2011
- [i4]Asher Stern, Shachar Mirkin, Eyal Shnarch, Lili Kotlerman, Ido Dagan, Amnon Lotan, Jonathan Berant:
Knowledge and Tree-Edits in Learnable Entailment Proofs. TAC 2011 - 2010
- [i3]Asher Stern, Eyal Shnarch, Shachar Mirkin, Lili Kotlerman, Naomi Zeichner, Ido Dagan, Amnon Lotan, Jonathan Berant:
Rule Chaining and Approximate Match in textual inference. TAC 2010 - 2009
- [i2]Shachar Mirkin, Roy Bar-Haim, Ido Dagan, Eyal Shnarch, Asher Stern, Idan Szpektor, Jonathan Berant:
Addressing Discourse and Document Structure in the RTE Search Task. TAC 2009 - 2008
- [i1]Roy Bar-Haim, Ido Dagan, Shachar Mirkin, Eyal Shnarch, Idan Szpektor, Jonathan Berant, Iddo Greental:
Efficient Semantic Deduction and Approximate Matching over Compact Parse Forests. TAC 2008
Coauthor Index
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