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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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2020 – today
- 2023
[c78]Itay Levy, Ben Bogin, Jonathan Berant:
Diverse Demonstrations Improve In-context Compositional Generalization. ACL (1) 2023: 1401-1422- [c77]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 - [c76]Guy Dar, Mor Geva, Ankit Gupta, Jonathan Berant:
Analyzing Transformers in Embedding Space. ACL (1) 2023: 16124-16170 - [c75]Roi Cohen, Mor Geva, Jonathan Berant, Amir Globerson:
Crawling The Internal Knowledge-Base of Language Models. EACL (Findings) 2023: 1811-1824 - [p1]Jonathan Herzig, Jonathan Berant, Ben Bogin:
Latent Trees for Compositional Generalization. Compendium of Neurosymbolic Artificial Intelligence 2023: 631-664 - [i92]Roi Cohen, Mor Geva, Jonathan Berant, Amir Globerson:
Crawling the Internal Knowledge-Base of Language Models. CoRR abs/2301.12810 (2023) - [i91]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) - [i90]Uri Shaham, Maor Ivgi, Avia Efrat, Jonathan Berant, Omer Levy:
ZeroSCROLLS: A Zero-Shot Benchmark for Long Text Understanding. CoRR abs/2305.14196 (2023) - [i89]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) - [i88]Ohad Rubin, Jonathan Berant:
Long-range Language Modeling with Self-retrieval. CoRR abs/2306.13421 (2023) - [i87]Ori Yoran, Tomer Wolfson, Ori Ram, Jonathan Berant:
Making Retrieval-Augmented Language Models Robust to Irrelevant Context. CoRR abs/2310.01558 (2023) - [i86]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) - [i85]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) - 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) - [c74]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 - [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 - [i84]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) - [i83]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) - [i82]Ben Bogin, Shivanshu Gupta, Jonathan Berant:
Unobserved Local Structures Make Compositional Generalization Hard. CoRR abs/2201.05899 (2022) - [i81]Maor Ivgi, Yair Carmon, Jonathan Berant:
Scaling Laws Under the Microscope: Predicting Transformer Performance from Small Scale Experiments. CoRR abs/2202.06387 (2022) - [i80]Uri Katz, Mor Geva, Jonathan Berant:
Inferring Implicit Relations with Language Models. CoRR abs/2204.13778 (2022) - [i79]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) - [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
- [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) - [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 - [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] - [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
- [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) - [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 - [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)
2010 – 2019
- 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 - [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,