| 2026 | ACL | Comparing human and language models sentence processing difficulties on complex structures. | Samuel Joseph Amouyal, Aya Meltzer-Asscher, Jonathan Berant |
| 2025 | ACL | When the LM misunderstood the human chuckled: Analyzing garden path effects in humans and language models. | Samuel Joseph Amouyal, Aya Meltzer-Asscher, Jonathan Berant |
| 2025 | ICLR | Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning. | Amrith Setlur, Chirag Nagpal, Adam Fisch, Xinyang Geng, Jacob Eisenstein, Rishabh Agarwal, Alekh Agarwal, Jonathan Berant, Aviral Kumar |
| 2025 | ICML | InfAlign: Inference-aware language model alignment. | Ananth Balashankar, Ziteng Sun, Jonathan Berant, Jacob Eisenstein, Michael Collins, Adrian Hutter, Jong Lee, Chirag Nagpal, Flavien Prost, Aradhana Sinha, Ananda Theertha Suresh, Ahmad Beirami |
| 2025 | ICML | Theoretical guarantees on the best-of-n alignment policy. | Ahmad Beirami, Alekh Agarwal, Jonathan Berant, Alexander Nicholas D'Amour, Jacob Eisenstein, Chirag Nagpal, Ananda Theertha Suresh |
| 2025 | IJCAI | Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven Priors (Extended Abstract). | Ido Amos, Jonathan Berant, Ankit Gupta |
| 2025 | NAACL | In-Context Learning with Long-Context Models: An In-Depth Exploration. | Amanda Bertsch, Maor Ivgi, Emily Xiao, Uri Alon, Jonathan Berant, Matthew R. Gormley, Graham Neubig |
| 2024 | EACL | Large Language Models for Psycholinguistic Plausibility Pretesting. | Samuel Joseph Amouyal, Aya Meltzer-Asscher, Jonathan Berant |
| 2024 | EMNLP | AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks? | Ori Yoran, Samuel Joseph Amouyal, Chaitanya Malaviya, Ben Bogin, Ofir Press, Jonathan Berant |
| 2024 | ICLR | Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven Priors. | Ido Amos, Jonathan Berant, Ankit Gupta |
| 2024 | ICLR | Making Retrieval-Augmented Language Models Robust to Irrelevant Context. | Ori Yoran, Tomer Wolfson, Ori Ram, Jonathan Berant |
| 2024 | ICML | Transforming and Combining Rewards for Aligning Large Language Models. | Zihao Wang, Chirag Nagpal, Jonathan Berant, Jacob Eisenstein, Alexander Nicholas D'Amour, Sanmi Koyejo, Victor Veitch |
| 2024 | NAACL | SEMQA: Semi-Extractive Multi-Source Question Answering. | Tal Schuster, dm D. Lelkes, Haitian Sun, Jai Gupta, Jonathan Berant, William W. Cohen, Donald Metzler |
| 2023 | ACL | Analyzing Transformers in Embedding Space. | Guy Dar, Mor Geva, Ankit Gupta, Jonathan Berant |
| 2023 | ACL | Diverse Demonstrations Improve In-context Compositional Generalization. | Itay Levy, Ben Bogin, Jonathan Berant |
| 2023 | ACL | What Are You Token About? Dense Retrieval as Distributions Over the Vocabulary. | Ori Ram, Liat Bezalel, Adi Zicher, Yonatan Belinkov, Jonathan Berant, Amir Globerson |
| 2023 | EACL | Crawling The Internal Knowledge-Base of Language Models. | Roi Cohen, Mor Geva, Jonathan Berant, Amir Globerson |
| 2023 | EMNLP | ZeroSCROLLS: A Zero-Shot Benchmark for Long Text Understanding. | Uri Shaham, Maor Ivgi, Avia Efrat, Jonathan Berant, Omer Levy |
| 2023 | EMNLP | Answering Questions by Meta-Reasoning over Multiple Chains of Thought. | Ori Yoran, Tomer Wolfson, Ben Bogin, Uri Katz, Daniel Deutch, Jonathan Berant |
| 2022 | ACL | Turning Tables: Generating Examples from Semi-structured Tables for Endowing Language Models with Reasoning Skills. | Ori Yoran, Alon Talmor, Jonathan Berant |
| 2022 | EMNLP | SCROLLS: Standardized CompaRison Over Long Language Sequences. | Uri Shaham, Elad Segal, Maor Ivgi, Avia Efrat, Ori Yoran, Adi Haviv, Ankit Gupta, Wenhan Xiong, Mor Geva, Jonathan Berant, Omer Levy |
| 2022 | EMNLP | Unobserved Local Structures Make Compositional Generalization Hard. | Ben Bogin, Shivanshu Gupta, Jonathan Berant |
| 2022 | EMNLP | Scaling Laws Under the Microscope: Predicting Transformer Performance from Small Scale Experiments. | Maor Ivgi, Yair Carmon, Jonathan Berant |
| 2022 | EMNLP | Inferring Implicit Relations in Complex Questions with Language Models. | Uri Katz, Mor Geva, Jonathan Berant |
| 2022 | NAACL | Learning to Retrieve Passages without Supervision. | Ori Ram, Gal Shachaf, Omer Levy, Jonathan Berant, Amir Globerson |
| 2022 | NAACL | Learning To Retrieve Prompts for In-Context Learning. | Ohad Rubin, Jonathan Herzig, Jonathan Berant |
| 2022 | NAACL | Weakly Supervised Text-to-SQL Parsing through Question Decomposition. | Tomer Wolfson, Daniel Deutch, Jonathan Berant |
| 2021 | ACL | Span-based Semantic Parsing for Compositional Generalization. | Jonathan Herzig, Jonathan Berant |
| 2021 | ACL | Few-Shot Question Answering by Pretraining Span Selection. | Ori Ram, Yuval Kirstain, Jonathan Berant, Amir Globerson, Omer Levy |
| 2021 | EACL | BERTese: Learning to Speak to BERT. | Adi Haviv, Jonathan Berant, Amir Globerson |
| 2021 | EACL | Evaluating the Evaluation of Diversity in Natural Language Generation. | Guy Tevet, Jonathan Berant |
| 2021 | EMNLP | COVR: A Test-Bed for Visually Grounded Compositional Generalization with Real Images. | Ben Bogin, Shivanshu Gupta, Matt Gardner, Jonathan Berant |
| 2021 | EMNLP | What's in Your Head? Emergent Behaviour in Multi-Task Transformer Models. | Mor Geva, Uri Katz, Aviv Ben-Arie, Jonathan Berant |
| 2021 | EMNLP | Transformer Feed-Forward Layers Are Key-Value Memories. | Mor Geva, Roei Schuster, Jonathan Berant, Omer Levy |
| 2021 | EMNLP | Value-aware Approximate Attention. | Ankit Gupta, Jonathan Berant |
| 2021 | EMNLP | Memory-efficient Transformers via Top-k Attention. | Ankit Gupta, Guy Dar, Shaya Goodman, David Ciprut, Jonathan Berant |
| 2021 | EMNLP | Achieving Model Robustness through Discrete Adversarial Training. | Maor Ivgi, Jonathan Berant |
| 2021 | EMNLP | Finding needles in a haystack: Sampling Structurally-diverse Training Sets from Synthetic Data for Compositional Generalization. | Inbar Oren, Jonathan Herzig, Jonathan Berant |
| 2021 | ICIP | Scene Graph tO Image Generation with Contextualized Object Layout Refinement. | Maor Ivgi, Yaniv Benny, Avichai Ben-David, Jonathan Berant, Lior Wolf |
| 2021 | ICLR | MultiModalQA: complex question answering over text, tables and images. | Alon Talmor, Ori Yoran, Amnon Catav, Dan Lahav, Yizhong Wang, Akari Asai, Gabriel Ilharco, Hannaneh Hajishirzi, Jonathan Berant |
| 2021 | NAACL | SmBoP: Semi-autoregressive Bottom-up Semantic Parsing. | Ohad Rubin, Jonathan Berant |
| 2020 | ACL | Injecting Numerical Reasoning Skills into Language Models. | Mor Geva, Ankit Gupta, Jonathan Berant |
| 2020 | ACL | Obtaining Faithful Interpretations from Compositional Neural Networks. | Sanjay Subramanian, Ben Bogin, Nitish Gupta, Tomer Wolfson, Sameer Singh, Jonathan Berant, Matt Gardner |
| 2020 | EMNLP | Evaluating Models' Local Decision Boundaries via Contrast Sets. | Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hannaneh Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F. Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A. Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, Ally Zhang, Ben Zhou |
| 2020 | EMNLP | Improving Compositional Generalization in Semantic Parsing. | Inbar Oren, Jonathan Herzig, Nitish Gupta, Matt Gardner, Jonathan Berant |
| 2020 | EMNLP | A Simple and Effective Model for Answering Multi-span Questions. | Elad Segal, Avia Efrat, Mor Shoham, Amir Globerson, Jonathan Berant |
| 2020 | WACV | Differentiable Scene Graphs. | Moshiko Raboh, Roei Herzig, Jonathan Berant, Gal Chechik, Amir Globerson |
| 2019 | ACL | Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing. | Ben Bogin, Jonathan Berant, Matt Gardner |
| 2019 | ACL | MultiQA: An Empirical Investigation of Generalization and Transfer in Reading Comprehension. | Alon Talmor, Jonathan Berant |
| 2019 | CoNLL | On the Limits of Learning to Actively Learn Semantic Representations. | Omri Koshorek, Gabriel Stanovsky, Yichu Zhou, Vivek Srikumar, Jonathan Berant |
| 2019 | EMNLP | Global Reasoning over Database Structures for Text-to-SQL Parsing. | Ben Bogin, Matt Gardner, Jonathan Berant |
| 2019 | EMNLP | Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets. | Mor Geva, Yoav Goldberg, Jonathan Berant |
| 2019 | EMNLP | Don't paraphrase, detect! Rapid and Effective Data Collection for Semantic Parsing. | Jonathan Herzig, Jonathan Berant |
| 2019 | ICDE | Explaining Queries Over Web Tables to Non-experts. | Jonathan Berant, Daniel Deutch, Amir Globerson, Tova Milo, Tomer Wolfson |
| 2019 | ICLR | Neural network gradient-based learning of black-box function interfaces. | Alon Jacovi, Guy Hadash, Einat Kermany, Boaz Carmeli, Ofer Lavi, George Kour, Jonathan Berant |
| 2019 | NAACL | DiscoFuse: A Large-Scale Dataset for Discourse-Based Sentence Fusion. | Mor Geva, Eric Malmi, Idan Szpektor, Jonathan Berant |
| 2019 | NAACL | White-to-Black: Efficient Distillation of Black-Box Adversarial Attacks. | Yotam Gil, Yoav Chai, Or Gorodissky, Jonathan Berant |
| 2019 | NAACL | Value-based Search in Execution Space for Mapping Instructions to Programs. | Dor Muhlgay, Jonathan Herzig, Jonathan Berant |
| 2019 | NAACL | CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge. | Alon Talmor, Jonathan Herzig, Nicholas Lourie, Jonathan Berant |
| 2019 | NAACL | Evaluating Text GANs as Language Models. | Guy Tevet, Gavriel Habib, Vered Shwartz, Jonathan Berant |
| 2018 | ACL | Weakly Supervised Semantic Parsing with Abstract Examples. | Omer Goldman, Veronica Latcinnik, Ehud Nave, Amir Globerson, Jonathan Berant |
| 2018 | COLING | Learning to Search in Long Documents Using Document Structure. | Mor Geva, Jonathan Berant |
| 2018 | EMNLP | Decoupling Structure and Lexicon for Zero-Shot Semantic Parsing. | Jonathan Herzig, Jonathan Berant |
| 2018 | NAACL | Text Segmentation as a Supervised Learning Task. | Omri Koshorek, Adir Cohen, Noam Mor, Michael Rotman, Jonathan Berant |
| 2018 | NAACL | Polyglot Semantic Parsing in APIs. | Kyle Richardson, Jonathan Berant, Jonas Kuhn |
| 2018 | NAACL | Contextualized Word Representations for Reading Comprehension. | Shimi Salant, Jonathan Berant |
| 2018 | NAACL | The Web as a Knowledge-Base for Answering Complex Questions. | Alon Talmor, Jonathan Berant |
| 2017 | ACL | Coarse-to-Fine Question Answering for Long Documents. | Eunsol Choi, Daniel Hewlett, Jakob Uszkoreit, Illia Polosukhin, Alexandre Lacoste, Jonathan Berant |
| 2017 | ACL | Neural Semantic Parsing over Multiple Knowledge-bases. | Jonathan Herzig, Jonathan Berant |
| 2017 | ACL | Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision. | Chen Liang, Jonathan Berant, Quoc V. Le, Kenneth D. Forbus, Ni Lao |
| 2015 | ACL | Building a Semantic Parser Overnight. | Yushi Wang, Jonathan Berant, Percy Liang |
| 2014 | ACL | Semantic Parsing via Paraphrasing. | Jonathan Berant, Percy Liang |
| 2014 | EMNLP | Modeling Biological Processes for Reading Comprehension. | Jonathan Berant, Vivek Srikumar, Pei-Chun Chen, Abby Vander Linden, Brittany Harding, Brad Huang, Peter Clark, Christopher D. Manning |
| 2013 | ACL | A Two Level Model for Context Sensitive Inference Rules. | Oren Melamud, Jonathan Berant, Ido Dagan, Jacob Goldberger, Idan Szpektor |
| 2013 | EMNLP | Semantic Parsing on Freebase from Question-Answer Pairs. | Jonathan Berant, Andrew Chou, Roy Frostig, Percy Liang |
| 2013 | EMNLP | Learning Biological Processes with Global Constraints. | Aju Thalappillil Scaria, Jonathan Berant, Mengqiu Wang, Peter Clark, Justin Lewis, Brittany Harding, Christopher D. Manning |
| 2012 | ACL | Entailment-based Text Exploration with Application to the Health-care Domain. | Meni Adler, Jonathan Berant, Ido Dagan |
| 2012 | ACL | Efficient Tree-based Approximation for Entailment Graph Learning. | Jonathan Berant, Ido Dagan, Meni Adler, Jacob Goldberger |
| 2012 | ACL | Crowdsourcing Inference-Rule Evaluation. | Naomi Zeichner, Jonathan Berant, Ido Dagan |
| 2012 | EMNLP | Learning Verb Inference Rules from Linguistically-Motivated Evidence. | Hila Weisman, Jonathan Berant, Idan Szpektor, Ido Dagan |
| 2011 | ACL | Global Learning of Typed Entailment Rules. | Jonathan Berant, Ido Dagan, Jacob Goldberger |
| 2010 | ACL | Global Learning of Focused Entailment Graphs. | Jonathan Berant, Ido Dagan, Jacob Goldberger |
| 2010 | COLING | Recognising Entailment within Discourse. | Shachar Mirkin, Jonathan Berant, Ido Dagan, Eyal Shnarch |
| 2009 | EMNLP | A Compact Forest for Scalable Inference over Entailment and Paraphrase Rules. | Roy Bar-Haim, Jonathan Berant, Ido Dagan |