Efficient Semantic Deduction and Approximate Matching over Compact Parse Forests. - Roy Bar-Haim; Ido Dagan; Shachar Mirkin; Eyal Shnarch; Idan Szpektor; Jonathan Berant; Iddo Greental (TAC, 2008)

A Compact Forest for Scalable Inference over Entailment and Paraphrase Rules. - Roy Bar-Haim; Jonathan Berant; Ido Dagan (EMNLP, 2009)

Addressing Discourse and Document Structure in the RTE Search Task. - Shachar Mirkin; Roy Bar-Haim; Ido Dagan; Eyal Shnarch; Asher Stern 001; Idan Szpektor; Jonathan Berant (TAC, 2009)

Global Learning of Focused Entailment Graphs. - Jonathan Berant; Ido Dagan; Jacob Goldberger (ACL, 2010)

Recognising Entailment within Discourse. - Shachar Mirkin; Jonathan Berant; Ido Dagan; Eyal Shnarch (COLING, 2010)

Rule Chaining and Approximate Match in textual inference. - Asher Stern 001; Eyal Shnarch; Shachar Mirkin; Lili Kotlerman; Naomi Zeichner; Ido Dagan; Amnon Lotan; Jonathan Berant (TAC, 2010)

Global Learning of Typed Entailment Rules. - Jonathan Berant; Ido Dagan; Jacob Goldberger (ACL, 2011)

Knowledge and Tree-Edits in Learnable Entailment Proofs. - Asher Stern 001; Shachar Mirkin; Eyal Shnarch; Lili Kotlerman; Ido Dagan; Amnon Lotan; Jonathan Berant (TAC, 2011)

Entailment-based Text Exploration with Application to the Health-care Domain. - Meni Adler; Jonathan Berant; Ido Dagan (ACL (System Demonstrations), 2012)

Efficient Tree-based Approximation for Entailment Graph Learning. - Jonathan Berant; Ido Dagan; Meni Adler; Jacob Goldberger (ACL (1), 2012)

Crowdsourcing Inference-Rule Evaluation. - Naomi Zeichner; Jonathan Berant; Ido Dagan (ACL (2), 2012)

Learning Verb Inference Rules from Linguistically-Motivated Evidence. - Hila Weisman; Jonathan Berant; Idan Szpektor; Ido Dagan (EMNLP-CoNLL, 2012)

Learning Entailment Relations by Global Graph Structure Optimization. - Jonathan Berant; Ido Dagan; Jacob Goldberger (Comput. Linguistics, 2012)

Global learning of textual entailment graphs - Jonathan Berant (2012)

A Two Level Model for Context Sensitive Inference Rules. - Oren Melamud; Jonathan Berant; Ido Dagan; Jacob Goldberger; Idan Szpektor (ACL (1), 2013)

Semantic Parsing on Freebase from Question-Answer Pairs. - Jonathan Berant; Andrew Chou; Roy Frostig; Percy Liang (EMNLP, 2013)

Learning Biological Processes with Global Constraints. - Aju Thalappillil Scaria; Jonathan Berant; Mengqiu Wang; Peter Clark; Justin Lewis; Brittany Harding; Christopher D. Manning (EMNLP, 2013)

Semantic Parsing via Paraphrasing. - Jonathan Berant; Percy Liang (ACL (1), 2014)

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 (EMNLP, 2014)

Building a Semantic Parser Overnight. - Yushi Wang; Jonathan Berant; Percy Liang (ACL (1), 2015)

Efficient Global Learning of Entailment Graphs. - Jonathan Berant; Noga Alon; Ido Dagan; Jacob Goldberger (Comput. Linguistics, 2015)

Knowledge-Based Textual Inference via Parse-Tree Transformations. - Roy Bar-Haim; Ido Dagan; Jonathan Berant (J. Artif. Intell. Res., 2015)

Imitation Learning of Agenda-based Semantic Parsers. - Jonathan Berant; Percy Liang (Trans. Assoc. Comput. Linguistics, 2015)

Learning to generalize to new compositions in image understanding. - Yuval Atzmon; Jonathan Berant; Vahid Kezami; Amir Globerson; Gal Chechik (CoRR, 2016)

Hierarchical Question Answering for Long Documents. - Eunsol Choi; Daniel Hewlett; Alexandre Lacoste; Illia Polosukhin; Jakob Uszkoreit; Jonathan Berant (CoRR, 2016)

Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision (Short Version). - Chen Liang; Jonathan Berant; Quoc V. Le; Kenneth D. Forbus; Ni Lao (CoRR, 2016)

Coarse-to-Fine Question Answering for Long Documents. - Eunsol Choi; Daniel Hewlett; Jakob Uszkoreit; Illia Polosukhin; Alexandre Lacoste; Jonathan Berant (ACL (1), 2017)

Neural Semantic Parsing over Multiple Knowledge-bases. - Jonathan Herzig; Jonathan Berant (ACL (2), 2017)

Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision. - Chen Liang; Jonathan Berant; Quoc V. Le; Kenneth D. Forbus; Ni Lao (ACL (1), 2017)

Evaluating Semantic Parsing against a Simple Web-based Question Answering Model. - Alon Talmor; Mor Geva; Jonathan Berant (*SEM, 2017)

Language Generation with Recurrent Generative Adversarial Networks without Pre-training. - Ofir Press; Amir Bar; Ben Bogin; Jonathan Berant; Lior Wolf (CoRR, 2017)

Inducing Regular Grammars Using Recurrent Neural Networks. - Mor Cohen; Avi Caciularu; Idan Rejwan; Jonathan Berant (CoRR, 2017)

Weakly-supervised Semantic Parsing with Abstract Examples. - Omer Goldman; Veronica Latcinnik; Udi Naveh; Amir Globerson; Jonathan Berant (CoRR, 2017)

Weakly Supervised Semantic Parsing with Abstract Examples. - Omer Goldman; Veronica Latcinnik; Ehud Nave; Amir Globerson; Jonathan Berant (ACL (1), 2018)

Learning to Search in Long Documents Using Document Structure. - Mor Geva; Jonathan Berant (COLING, 2018)

Decoupling Structure and Lexicon for Zero-Shot Semantic Parsing. - Jonathan Herzig; Jonathan Berant (EMNLP, 2018)

Text Segmentation as a Supervised Learning Task. - Omri Koshorek; Adir Cohen; Noam Mor; Michael Rotman; Jonathan Berant (NAACL-HLT (2), 2018)

Polyglot Semantic Parsing in APIs. - Kyle Richardson 001; Jonathan Berant; Jonas Kuhn (NAACL-HLT, 2018)

Contextualized Word Representations for Reading Comprehension. - Shimi Salant; Jonathan Berant (NAACL-HLT (2), 2018)

The Web as a Knowledge-Base for Answering Complex Questions. - Alon Talmor; Jonathan Berant (NAACL-HLT, 2018)

Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction. - Roei Herzig; Moshiko Raboh; Gal Chechik; Jonathan Berant; Amir Globerson (NeurIPS, 2018)

Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing. - Chen Liang; Mohammad Norouzi 002; Jonathan Berant; Quoc V. Le; Ni Lao (NeurIPS, 2018)

Memory Augmented Policy Optimization for Program Synthesis with Generalization. - Chen Liang; Mohammad Norouzi 002; Jonathan Berant; Quoc V. Le; Ni Lao (CoRR, 2018)

Repartitioning of the ComplexWebQuestions Dataset. - Alon Talmor; Jonathan Berant (CoRR, 2018)

Emergence of Communication in an Interactive World with Consistent Speakers. - Ben Bogin; Mor Geva; Jonathan Berant (CoRR, 2018)

On Making Reading Comprehension More Comprehensive. - Matt Gardner 001; Jonathan Berant; Hannaneh Hajishirzi; Alon Talmor; Sewon Min (MRQA@EMNLP, 2019)

Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing. - Ben Bogin; Jonathan Berant; Matt Gardner 001 (ACL (1), 2019)

MultiQA: An Empirical Investigation of Generalization and Transfer in Reading Comprehension. - Alon Talmor; Jonathan Berant (ACL (1), 2019)

On the Limits of Learning to Actively Learn Semantic Representations. - Omri Koshorek; Gabriel Stanovsky; Yichu Zhou; Vivek Srikumar; Jonathan Berant (CoNLL, 2019)

Global Reasoning over Database Structures for Text-to-SQL Parsing. - Ben Bogin; Matt Gardner 001; Jonathan Berant (EMNLP/IJCNLP (1), 2019)

Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets. - Mor Geva; Yoav Goldberg; Jonathan Berant (EMNLP/IJCNLP (1), 2019)

Don't paraphrase, detect! Rapid and Effective Data Collection for Semantic Parsing. - Jonathan Herzig; Jonathan Berant (EMNLP/IJCNLP (1), 2019)

Explaining Queries Over Web Tables to Non-experts. - Jonathan Berant; Daniel Deutch; Amir Globerson; Tova Milo; Tomer Wolfson (ICDE, 2019)

Neural network gradient-based learning of black-box function interfaces. - Alon Jacovi; Guy Hadash; Einat Kermany; Boaz Carmeli; Ofer Lavi; George Kour; Jonathan Berant (ICLR (Poster), 2019)

DiscoFuse: A Large-Scale Dataset for Discourse-Based Sentence Fusion. - Mor Geva; Eric Malmi; Idan Szpektor; Jonathan Berant (NAACL-HLT (1), 2019)

White-to-Black: Efficient Distillation of Black-Box Adversarial Attacks. - Yotam Gil; Yoav Chai; Or Gorodissky; Jonathan Berant (NAACL-HLT (1), 2019)

Value-based Search in Execution Space for Mapping Instructions to Programs. - Dor Muhlgay; Jonathan Herzig; Jonathan Berant (NAACL-HLT (1), 2019)

CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge. - Alon Talmor; Jonathan Herzig; Nicholas Lourie; Jonathan Berant (NAACL-HLT (1), 2019)

Evaluating Text GANs as Language Models. - Guy Tevet; Gavriel Habib; Vered Shwartz; Jonathan Berant (NAACL-HLT (1), 2019)

Learning Latent Scene-Graph Representations for Referring Relationships. - Moshiko Raboh; Roei Herzig; Gal Chechik; Jonathan Berant; Amir Globerson (CoRR, 2019)

Grammar-based Neural Text-to-SQL Generation. - Kevin Lin; Ben Bogin; Mark Neumann; Jonathan Berant; Matt Gardner 001 (CoRR, 2019)

Question Answering is a Format; When is it Useful? - Matt Gardner 001; Jonathan Berant; Hannaneh Hajishirzi; Alon Talmor; Sewon Min (CoRR, 2019)

Injecting Numerical Reasoning Skills into Language Models. - Mor Geva; Ankit Gupta 001; Jonathan Berant (ACL, 2020)

Obtaining Faithful Interpretations from Compositional Neural Networks. - Sanjay Subramanian; Ben Bogin; Nitish Gupta; Tomer Wolfson; Sameer Singh 001; Jonathan Berant; Matt Gardner 001 (ACL, 2020)

Evaluating Models' Local Decision Boundaries via Contrast Sets. - Matt Gardner 001; Yoav Artzi; Victoria Basmova; Jonathan Berant; Ben Bogin; Sihao Chen; Pradeep Dasigi; Dheeru Dua; Yanai Elazar; Ananth Gottumukkala; Nitish Gupta; Hannaneh Hajishirzi; et al. (EMNLP (Findings), 2020)

Improving Compositional Generalization in Semantic Parsing. - Inbar Oren; Jonathan Herzig; Nitish Gupta; Matt Gardner 001; Jonathan Berant (EMNLP (Findings), 2020)

A Simple and Effective Model for Answering Multi-span Questions. - Elad Segal; Avia Efrat; Mor Shoham; Amir Globerson; Jonathan Berant (EMNLP (1), 2020)

Leap-Of-Thought: Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge. - Alon Talmor; Oyvind Tafjord; Peter Clark; Yoav Goldberg; Jonathan Berant (NeurIPS, 2020)

Differentiable Scene Graphs. - Moshiko Raboh; Roei Herzig; Jonathan Berant; Gal Chechik; Amir Globerson (WACV, 2020)

Evaluating NLP Models via Contrast Sets. - Matt Gardner 001; Yoav Artzi; Victoria Basmova; Jonathan Berant; Ben Bogin; Sihao Chen; Pradeep Dasigi; Dheeru Dua; Yanai Elazar; Ananth Gottumukkala; Nitish Gupta; Hanna Hajishirzi; et al. (CoRR, 2020)

Explaining Question Answering Models through Text Generation. - Veronica Latcinnik; Jonathan Berant (CoRR, 2020)

GMAT: Global Memory Augmentation for Transformers. - Ankit Gupta 001; Jonathan Berant (CoRR, 2020)

Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge. - Alon Talmor; Oyvind Tafjord; Peter Clark; Yoav Goldberg; Jonathan Berant (CoRR, 2020)

A Simple Global Neural Discourse Parser. - Yichu Zhou; Omri Koshorek; Vivek Srikumar; Jonathan Berant (CoRR, 2020)

Learning Object Detection from Captions via Textual Scene Attributes. - Achiya Jerbi; Roei Herzig; Jonathan Berant; Gal Chechik; Amir Globerson (CoRR, 2020)

oLMpics - On what Language Model Pre-training Captures. - Alon Talmor; Yanai Elazar; Yoav Goldberg; Jonathan Berant (Trans. Assoc. Comput. Linguistics, 2020)

Break It Down: A Question Understanding Benchmark. - Tomer Wolfson; Mor Geva; Ankit Gupta 001; Yoav Goldberg; Matt Gardner 001; Daniel Deutch; Jonathan Berant (Trans. Assoc. Comput. Linguistics, 2020)

Span-based Semantic Parsing for Compositional Generalization. - Jonathan Herzig; Jonathan Berant (ACL/IJCNLP (1), 2021)

Few-Shot Question Answering by Pretraining Span Selection. - Ori Ram; Yuval Kirstain; Jonathan Berant; Amir Globerson; Omer Levy (ACL/IJCNLP (1), 2021)

Question Decomposition with Dependency Graphs. - Matan Hasson; Jonathan Berant (AKBC, 2021)

BERTese: Learning to Speak to BERT. - Adi Haviv; Jonathan Berant; Amir Globerson (EACL, 2021)

Evaluating the Evaluation of Diversity in Natural Language Generation. - Guy Tevet; Jonathan Berant (EACL, 2021)

COVR: A Test-Bed for Visually Grounded Compositional Generalization with Real Images. - Ben Bogin; Shivanshu Gupta; Matt Gardner 001; Jonathan Berant (EMNLP (1), 2021)

What's in Your Head? Emergent Behaviour in Multi-Task Transformer Models. - Mor Geva; Uri Katz; Aviv Ben-Arie; Jonathan Berant (EMNLP (1), 2021)

Transformer Feed-Forward Layers Are Key-Value Memories. - Mor Geva; Roei Schuster; Jonathan Berant; Omer Levy (EMNLP (1), 2021)

Value-aware Approximate Attention. - Ankit Gupta 001; Jonathan Berant (EMNLP (1), 2021)

Memory-efficient Transformers via Top-k Attention. - Ankit Gupta 001; Guy Dar; Shaya Goodman; David Ciprut; Jonathan Berant (SustaiNLP@EMNLP, 2021)

Achieving Model Robustness through Discrete Adversarial Training. - Maor Ivgi; Jonathan Berant (EMNLP (1), 2021)

Finding needles in a haystack: Sampling Structurally-diverse Training Sets from Synthetic Data for Compositional Generalization. - Inbar Oren; Jonathan Herzig; Jonathan Berant (EMNLP (1), 2021)

Scene Graph tO Image Generation with Contextualized Object Layout Refinement. - Maor Ivgi; Yaniv Benny; Avichai Ben-David; Jonathan Berant; Lior Wolf (ICIP, 2021)

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 (ICLR, 2021)

SmBoP: Semi-autoregressive Bottom-up Semantic Parsing. - Ohad Rubin; Jonathan Berant (NAACL-HLT, 2021)

CommonsenseQA 2.0: Exposing the Limits of AI through Gamification. - Alon Talmor; Ori Yoran; Ronan Le Bras 001; Chandra Bhagavatula; Yoav Goldberg; Yejin Choi 001; Jonathan Berant (NeurIPS Datasets and Benchmarks, 2021)

Weakly Supervised Mapping of Natural Language to SQL through Question Decomposition. - Tomer Wolfson; Jonathan Berant; Daniel Deutch (CoRR, 2021)

Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering. - Ben Bogin; Sanjay Subramanian; Matt Gardner 001; Jonathan Berant (Trans. Assoc. Comput. Linguistics, 2021)

Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies. - Mor Geva; Daniel Khashabi; Elad Segal; Tushar Khot; Dan Roth 001; Jonathan Berant (Trans. Assoc. Comput. Linguistics, 2021)

Turning Tables: Generating Examples from Semi-structured Tables for Endowing Language Models with Reasoning Skills. - Ori Yoran; Alon Talmor; Jonathan Berant (ACL (1), 2022)

Training Vision-Language Models with Less Bimodal Supervision. - Elad Segal; Ben Bogin; Jonathan Berant (AKBC, 2022)

SCROLLS: Standardized CompaRison Over Long Language Sequences. - Uri Shaham 002; Elad Segal; Maor Ivgi; Avia Efrat; Ori Yoran; Adi Haviv; Ankit Gupta 001; Wenhan Xiong; Mor Geva; Jonathan Berant; Omer Levy (EMNLP, 2022)

Unobserved Local Structures Make Compositional Generalization Hard. - Ben Bogin; Shivanshu Gupta; Jonathan Berant (EMNLP, 2022)

Scaling Laws Under the Microscope: Predicting Transformer Performance from Small Scale Experiments. - Maor Ivgi; Yair Carmon; Jonathan Berant (EMNLP (Findings), 2022)

Inferring Implicit Relations in Complex Questions with Language Models. - Uri Katz; Mor Geva; Jonathan Berant (EMNLP (Findings), 2022)

Learning to Retrieve Passages without Supervision. - Ori Ram; Gal Shachaf; Omer Levy; Jonathan Berant; Amir Globerson (NAACL-HLT, 2022)

Learning To Retrieve Prompts for In-Context Learning. - Ohad Rubin; Jonathan Herzig; Jonathan Berant (NAACL-HLT, 2022)

Weakly Supervised Text-to-SQL Parsing through Question Decomposition. - Tomer Wolfson; Daniel Deutch; Jonathan Berant (NAACL-HLT (Findings), 2022)

Diagonal State Spaces are as Effective as Structured State Spaces. - Ankit Gupta 001; Albert Gu; Jonathan Berant (NeurIPS, 2022)

Inferring Implicit Relations with Language Models. - Uri Katz; Mor Geva; Jonathan Berant (CoRR, 2022)

QAMPARI: : An Open-domain Question Answering Benchmark for Questions with Many Answers from Multiple Paragraphs. - Samuel Joseph Amouyal; Ohad Rubin; Ori Yoran; Tomer Wolfson; Jonathan Herzig; Jonathan Berant (CoRR, 2022)

Simplifying and Understanding State Space Models with Diagonal Linear RNNs. - Ankit Gupta 001; Harsh Mehta; Jonathan Berant (CoRR, 2022)

Break, Perturb, Build: Automatic Perturbation of Reasoning Paths Through Question Decomposition. - Mor Geva; Tomer Wolfson; Jonathan Berant (Trans. Assoc. Comput. Linguistics, 2022)

Analyzing Transformers in Embedding Space. - Guy Dar; Mor Geva; Ankit Gupta 001; Jonathan Berant (ACL (1), 2023)

Diverse Demonstrations Improve In-context Compositional Generalization. - Itay Levy; Ben Bogin; Jonathan Berant (ACL (1), 2023)

What Are You Token About? Dense Retrieval as Distributions Over the Vocabulary. - Ori Ram; Liat Bezalel; Adi Zicher; Yonatan Belinkov; Jonathan Berant; Amir Globerson (ACL (1), 2023)

Crawling The Internal Knowledge-Base of Language Models. - Roi Cohen; Mor Geva; Jonathan Berant; Amir Globerson (EACL (Findings), 2023)

ZeroSCROLLS: A Zero-Shot Benchmark for Long Text Understanding. - Uri Shaham 002; Maor Ivgi; Avia Efrat; Jonathan Berant; Omer Levy (EMNLP (Findings), 2023)

Answering Questions by Meta-Reasoning over Multiple Chains of Thought. - Ori Yoran; Tomer Wolfson; Ben Bogin; Uri Katz; Daniel Deutch; Jonathan Berant (EMNLP, 2023)

From Pixels to UI Actions: Learning to Follow Instructions via Graphical User Interfaces. - Peter Shaw 004; Mandar Joshi; James Cohan; Jonathan Berant; Panupong Pasupat; Hexiang Hu; Urvashi Khandelwal; Kenton Lee; Kristina Toutanova (NeurIPS, 2023)

Long-range Language Modeling with Self-retrieval. - Ohad Rubin; Jonathan Berant (CoRR, 2023)

Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate Reward Hacking. - Jacob Eisenstein; Chirag Nagpal; Alekh Agarwal; Ahmad Beirami; Alex D'Amour; Dj Dvijotham; Adam Fisch; Katherine A. Heller; Stephen Pfohl; Deepak Ramachandran; Peter Shaw 004; Jonathan Berant (CoRR, 2023)

Efficient Long-Text Understanding with Short-Text Models. - Maor Ivgi; Uri Shaham 002; Jonathan Berant (Trans. Assoc. Comput. Linguistics, 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - 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; et al. (Trans. Mach. Learn. Res., 2023)

Latent Trees for Compositional Generalization. - Jonathan Herzig; Jonathan Berant; Ben Bogin (Compendium of Neurosymbolic Artificial Intelligence, 2023)

Large Language Models for Psycholinguistic Plausibility Pretesting. - Samuel Joseph Amouyal; Aya Meltzer-Asscher; Jonathan Berant (EACL (Findings), 2024)

AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks? - Ori Yoran; Samuel Joseph Amouyal; Chaitanya Malaviya; Ben Bogin; Ofir Press; Jonathan Berant (EMNLP, 2024)

Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven Priors. - Ido Amos; Jonathan Berant; Ankit Gupta 001 (ICLR, 2024)

Making Retrieval-Augmented Language Models Robust to Irrelevant Context. - Ori Yoran; Tomer Wolfson; Ori Ram; Jonathan Berant (ICLR, 2024)

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 (ICML, 2024)

SEMQA: Semi-Extractive Multi-Source Question Answering. - Tal Schuster; Ádám D. Lelkes; Haitian Sun; Jai Gupta 001; Jonathan Berant; William W. Cohen; Donald Metzler (NAACL-HLT, 2024)

Classification of depression tendency from gaze patterns during sentence reading. - Oren Kobo; Aya Meltzer-Asscher; Jonathan Berant; Tom Schonberg (Biomed. Signal Process. Control., 2024)

Theoretical guarantees on the best-of-n alignment policy. - Ahmad Beirami; Alekh Agarwal; Jonathan Berant; Alexander D'Amour; Jacob Eisenstein; Chirag Nagpal; Ananda Theertha Suresh (CoRR, 2024)

In-Context Learning with Long-Context Models: An In-Depth Exploration. - Amanda Bertsch; Maor Ivgi; Uri Alon 002; Jonathan Berant; Matthew R. Gormley; Graham Neubig (CoRR, 2024)

Robust Preference Optimization through Reward Model Distillation. - Adam Fisch; Jacob Eisenstein; Vicky Zayats; Alekh Agarwal; Ahmad Beirami; Chirag Nagpal; Petet Shaw; Jonathan Berant (CoRR, 2024)

From Loops to Oops: Fallback Behaviors of Language Models Under Uncertainty. - Maor Ivgi; Ori Yoran; Jonathan Berant; Mor Geva (CoRR, 2024)

InfAlign: Inference-aware language model alignment. - Ananth Balashankar; Ziteng Sun; Jonathan Berant; Jacob Eisenstein; Michael Collins 001; Adrian Hutter; Jong Lee; Chirag Nagpal; Flavien Prost; Aradhana Sinha; Ananda Theertha Suresh; Ahmad Beirami (CoRR, 2024)

Retrieval-Pretrained Transformer: Long-range Language Modeling with Self-retrieval. - Ohad Rubin; Jonathan Berant (Trans. Assoc. Comput. Linguistics, 2024)

When the LM misunderstood the human chuckled: Analyzing garden path effects in humans and language models. - Samuel Joseph Amouyal; Aya Meltzer-Asscher; Jonathan Berant (ACL (1), 2025)

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 (ICLR, 2025)

In-Context Learning with Long-Context Models: An In-Depth Exploration. - Amanda Bertsch; Maor Ivgi; Emily Xiao; Uri Alon 002; Jonathan Berant; Matthew R. Gormley; Graham Neubig (NAACL (Long Papers), 2025)

Dolomites: Domain-Specific Long-Form Methodical Tasks. - Chaitanya Malaviya; Priyanka Agrawal; Kuzman Ganchev; Pranesh Srinivasan; Fantine Huot; Jonathan Berant; Mark Yatskar; Dipanjan Das 001; Mirella Lapata; Chris Alberti (Trans. Assoc. Comput. Linguistics, 2025)

ALTA: Compiler-Based Analysis of Transformers. - Peter Shaw 004; James Cohan; Jacob Eisenstein; Kenton Lee; Jonathan Berant; Kristina Toutanova (Trans. Mach. Learn. Res., 2025)

Robust Preference Optimization through Reward Model Distillation. - Adam Fisch; Jacob Eisenstein; Vicky Zayats; Alekh Agarwal; Ahmad Beirami; Chirag Nagpal; Peter Shaw 004; Jonathan Berant (Trans. Mach. Learn. Res., 2025)

Don't lie to your friends: Learning what you know from collaborative self-play. - Jacob Eisenstein; Reza Aghajani; Adam Fisch; Dheeru Dua; Fantine Huot; Mirella Lapata; Vicky Zayats; Jonathan Berant (CoRR, 2025)

Cost-Optimal Active AI Model Evaluation. - Anastasios N. Angelopoulos; Jacob Eisenstein; Jonathan Berant; Alekh Agarwal; Adam Fisch (CoRR, 2025)