Jonathan Berant

Alexander Nicholas D'Amour

Jacob Eisenstein

Sanmi Koyejo

Victor Veitch

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Making Retrieval-Augmented Language Models Robust to Irrelevant Context.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven Priors.

[BibT_eX]

[DOI]

Ido Amos

Proceedings of the Twelfth International Conference on Learning Representations, 2024

AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks?

[BibT_eX]

[DOI]

Ori Yoran

Samuel Joseph Amouyal

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Large Language Models for Psycholinguistic Plausibility Pretesting.

[BibT_eX]

[DOI]

Samuel Joseph Amouyal

Aya Meltzer-Asscher

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023

Latent Trees for Compositional Generalization.

[BibT_eX]

[DOI]

Giambattista Parascandolo

Proceedings of the Compendium of Neurosymbolic Artificial Intelligence, 2023

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.

[BibT_eX]

[DOI]

Bartlomiej Bojanowski

Christopher D. Manning

Daniel Moseguí González

Eunice Engefu Manyasi

Evgenii Zheltonozhskii

Fanyue Xia

Fatemeh Siar

Fernando Martínez-Plumed

Giorgio Mariani

Gloria Wang

Gonzalo Jaimovitch-López

Jaime Fernández Fisac

Jascha Sohl-Dickstein

José Hernández-Orallo

Karthik Gopalakrishnan

Lidia Contreras Ochando

Louis-Philippe Morency

María José Ramírez-Quintana

Michael I. Ivanitskiy

Neta Gur-Ari Krakover

Nitish Shirish Keskar

Pablo Antonio Moreno Casares

Pegah Alipoormolabashi

Shyamolima (Shammie) Debnath

Sneha Priscilla Makini

Yadollah Yaghoobzadeh

Trans. Mach. Learn. Res., 2023

Efficient Long-Text Understanding with Short-Text Models.

[BibT_eX]

[DOI]

Maor Ivgi

Uri Shaham

Trans. Assoc. Comput. Linguistics, 2023

Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate Reward Hacking.

[BibT_eX]

[DOI]

CoRR, 2023

Long-range Language Modeling with Self-retrieval.

[BibT_eX]

[DOI]

Ohad Rubin

CoRR, 2023

From Pixels to UI Actions: Learning to Follow Instructions via Graphical User Interfaces.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Answering Questions by Meta-Reasoning over Multiple Chains of Thought.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

ZeroSCROLLS: A Zero-Shot Benchmark for Long Text Understanding.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Crawling The Internal Knowledge-Base of Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

What Are You Token About? Dense Retrieval as Distributions Over the Vocabulary.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Diverse Demonstrations Improve In-context Compositional Generalization.

[BibT_eX]

[DOI]

Itay Levy

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Analyzing Transformers in Embedding Space.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Break, Perturb, Build: Automatic Perturbation of Reasoning Paths Through Question Decomposition.

[BibT_eX]

[DOI]

Tomer Wolfson

Trans. Assoc. Comput. Linguistics, 2022

Simplifying and Understanding State Space Models with Diagonal Linear RNNs.

[BibT_eX]

[DOI]

Harsh Mehta

CoRR, 2022

QAMPARI: : An Open-domain Question Answering Benchmark for Questions with Many Answers from Multiple Paragraphs.

[BibT_eX]

[DOI]

Samuel Joseph Amouyal

CoRR, 2022

Inferring Implicit Relations with Language Models.

[BibT_eX]

[DOI]

Uri Katz

CoRR, 2022

Diagonal State Spaces are as Effective as Structured State Spaces.

[BibT_eX]

[DOI]

Albert Gu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Weakly Supervised Text-to-SQL Parsing through Question Decomposition.

[BibT_eX]

[DOI]

Tomer Wolfson

Daniel Deutch

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Learning To Retrieve Prompts for In-Context Learning.

[BibT_eX]

[DOI]

Ohad Rubin

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Learning to Retrieve Passages without Supervision.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Inferring Implicit Relations in Complex Questions with Language Models.

[BibT_eX]

[DOI]

Uri Katz

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Scaling Laws Under the Microscope: Predicting Transformer Performance from Small Scale Experiments.

[BibT_eX]

[DOI]

Maor Ivgi

Yair Carmon

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Unobserved Local Structures Make Compositional Generalization Hard.

[BibT_eX]

[DOI]

Shivanshu Gupta

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

SCROLLS: Standardized CompaRison Over Long Language Sequences.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Training Vision-Language Models with Less Bimodal Supervision.

[BibT_eX]

[DOI]

Elad Segal

Proceedings of the 4th Conference on Automated Knowledge Base Construction, 2022

Turning Tables: Generating Examples from Semi-structured Tables for Endowing Language Models with Reasoning Skills.

[BibT_eX]

[DOI]

Ori Yoran

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies.

[BibT_eX]

[DOI]

Trans. Assoc. Comput. Linguistics, 2021

Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering.

[BibT_eX]

[DOI]

Trans. Assoc. Comput. Linguistics, 2021

Weakly Supervised Mapping of Natural Language to SQL through Question Decomposition.

[BibT_eX]

[DOI]

Tomer Wolfson

Daniel Deutch

CoRR, 2021

CommonsenseQA 2.0: Exposing the Limits of AI through Gamification.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

SmBoP: Semi-autoregressive Bottom-up Semantic Parsing.

[BibT_eX]

[DOI]

Ohad Rubin

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

MultiModalQA: complex question answering over text, tables and images.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Scene Graph tO Image Generation with Contextualized Object Layout Refinement.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Finding needles in a haystack: Sampling Structurally-diverse Training Sets from Synthetic Data for Compositional Generalization.

[BibT_eX]

[DOI]

Inbar Oren

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Achieving Model Robustness through Discrete Adversarial Training.

[BibT_eX]

[DOI]

Maor Ivgi

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Memory-efficient Transformers via Top-k Attention.

[BibT_eX]

[DOI]

Proceedings of the Second Workshop on Simple and Efficient Natural Language Processing, 2021

Value-aware Approximate Attention.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Transformer Feed-Forward Layers Are Key-Value Memories.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

What's in Your Head? Emergent Behaviour in Multi-Task Transformer Models.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

COVR: A Test-Bed for Visually Grounded Compositional Generalization with Real Images.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Evaluating the Evaluation of Diversity in Natural Language Generation.

[BibT_eX]

[DOI]

Guy Tevet

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

BERTese: Learning to Speak to BERT.

[BibT_eX]

[DOI]

Adi Haviv

Amir Globerson

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Question Decomposition with Dependency Graphs.

[BibT_eX]

[DOI]

Matan Hasson

Proceedings of the 3rd Conference on Automated Knowledge Base Construction, 2021

Few-Shot Question Answering by Pretraining Span Selection.

[BibT_eX]

[DOI]

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Span-based Semantic Parsing for Compositional Generalization.

[BibT_eX]

[DOI]

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Break It Down: A Question Understanding Benchmark.

[BibT_eX]

[DOI]

Trans. Assoc. Comput. Linguistics, 2020

oLMpics - On what Language Model Pre-training Captures.

[BibT_eX]

[DOI]

Trans. Assoc. Comput. Linguistics, 2020

Learning Object Detection from Captions via Textual Scene Attributes.

[BibT_eX]

[DOI]

CoRR, 2020

A Simple Global Neural Discourse Parser.

[BibT_eX]

[DOI]

CoRR, 2020

Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge.

[BibT_eX]

[DOI]

CoRR, 2020

GMAT: Global Memory Augmentation for Transformers.

[BibT_eX]

[DOI]

CoRR, 2020

Explaining Question Answering Models through Text Generation.

[BibT_eX]

[DOI]

Veronica Latcinnik

CoRR, 2020

Evaluating NLP Models via Contrast Sets.

[BibT_eX]

[DOI]

CoRR, 2020

Differentiable Scene Graphs.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Leap-Of-Thought: Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A Simple and Effective Model for Answering Multi-span Questions.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Improving Compositional Generalization in Semantic Parsing.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Evaluating Models' Local Decision Boundaries via Contrast Sets.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Obtaining Faithful Interpretations from Compositional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Injecting Numerical Reasoning Skills into Language Models.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Question Answering is a Format; When is it Useful?

[BibT_eX]

[DOI]

CoRR, 2019

Grammar-based Neural Text-to-SQL Generation.

[BibT_eX]

[DOI]

CoRR, 2019

Learning Latent Scene-Graph Representations for Referring Relationships.

[BibT_eX]

[DOI]

CoRR, 2019

Evaluating Text GANs as Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Value-based Search in Execution Space for Mapping Instructions to Programs.

[BibT_eX]

[DOI]

Dor Muhlgay

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

White-to-Black: Efficient Distillation of Black-Box Adversarial Attacks.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

DiscoFuse: A Large-Scale Dataset for Discourse-Based Sentence Fusion.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Neural network gradient-based learning of black-box function interfaces.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Explaining Queries Over Web Tables to Non-experts.

[BibT_eX]

[DOI]

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Don't paraphrase, detect! Rapid and Effective Data Collection for Semantic Parsing.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets.

[BibT_eX]

[DOI]

Yoav Goldberg

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Global Reasoning over Database Structures for Text-to-SQL Parsing.

[BibT_eX]

[DOI]

Matt Gardner

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

On the Limits of Learning to Actively Learn Semantic Representations.

[BibT_eX]

[DOI]

Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

MultiQA: An Empirical Investigation of Generalization and Transfer in Reading Comprehension.

[BibT_eX]

[DOI]

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing.

[BibT_eX]

[DOI]

Matt Gardner

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

On Making Reading Comprehension More Comprehensive.

[BibT_eX]

[DOI]

Proceedings of the 2nd Workshop on Machine Reading for Question Answering, 2019

2018

Emergence of Communication in an Interactive World with Consistent Speakers.

[BibT_eX]

[DOI]

CoRR, 2018

Repartitioning of the ComplexWebQuestions Dataset.

[BibT_eX]

[DOI]

CoRR, 2018

Memory Augmented Policy Optimization for Program Synthesis with Generalization.

[BibT_eX]

[DOI]

CoRR, 2018

Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

The Web as a Knowledge-Base for Answering Complex Questions.

[BibT_eX]

[DOI]

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Contextualized Word Representations for Reading Comprehension.

[BibT_eX]

[DOI]

Shimi Salant

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Polyglot Semantic Parsing in APIs.

[BibT_eX]

[DOI]

Kyle Richardson

Jonas Kuhn

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Text Segmentation as a Supervised Learning Task.

[BibT_eX]

[DOI]

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Decoupling Structure and Lexicon for Zero-Shot Semantic Parsing.

[BibT_eX]

[DOI]

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Learning to Search in Long Documents Using Document Structure.

[BibT_eX]

[DOI]

Proceedings of the 27th International Conference on Computational Linguistics, 2018

Weakly Supervised Semantic Parsing with Abstract Examples.

[BibT_eX]

[DOI]

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Weakly-supervised Semantic Parsing with Abstract Examples.

[BibT_eX]

[DOI]

CoRR, 2017

Inducing Regular Grammars Using Recurrent Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2017

Language Generation with Recurrent Generative Adversarial Networks without Pre-training.

[BibT_eX]

[DOI]

CoRR, 2017

Evaluating Semantic Parsing against a Simple Web-based Question Answering Model.

[BibT_eX]

[DOI]

Proceedings of the 6th Joint Conference on Lexical and Computational Semantics, 2017

Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision.

[BibT_eX]

[DOI]

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Neural Semantic Parsing over Multiple Knowledge-bases.

[BibT_eX]

[DOI]

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Coarse-to-Fine Question Answering for Long Documents.

[BibT_eX]

[DOI]

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision (Short Version).

[BibT_eX]

[DOI]

CoRR, 2016

Hierarchical Question Answering for Long Documents.

[BibT_eX]

[DOI]

CoRR, 2016

Learning to generalize to new compositions in image understanding.

[BibT_eX]

[DOI]

CoRR, 2016

2015

Imitation Learning of Agenda-based Semantic Parsers.

[BibT_eX]

[DOI]

Percy Liang

Trans. Assoc. Comput. Linguistics, 2015

Knowledge-Based Textual Inference via Parse-Tree Transformations.

[BibT_eX]

[DOI]

Roy Bar-Haim

J. Artif. Intell. Res., 2015

Efficient Global Learning of Entailment Graphs.

[BibT_eX]

[DOI]

Comput. Linguistics, 2015

Building a Semantic Parser Overnight.

[BibT_eX]

[DOI]

Yushi Wang

Percy Liang

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014

Modeling Biological Processes for Reading Comprehension.

[BibT_eX]

[DOI]

Christopher D. Manning

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Semantic Parsing via Paraphrasing.

[BibT_eX]

[DOI]

Percy Liang

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013

Learning Biological Processes with Global Constraints.

[BibT_eX]

[DOI]

Aju Thalappillil Scaria

Christopher D. Manning

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Semantic Parsing on Freebase from Question-Answer Pairs.

[BibT_eX]

[DOI]

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

A Two Level Model for Context Sensitive Inference Rules.

[BibT_eX]

[DOI]

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012

Global learning of textual entailment graphs

[BibT_eX]

[DOI]

PhD thesis, 2012

Learning Entailment Relations by Global Graph Structure Optimization.

[BibT_eX]

[DOI]

Jacob Goldberger

Comput. Linguistics, 2012

Learning Verb Inference Rules from Linguistically-Motivated Evidence.

[BibT_eX]

[DOI]

Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Crowdsourcing Inference-Rule Evaluation.

[BibT_eX]

[DOI]

Naomi Zeichner

Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

Efficient Tree-based Approximation for Entailment Graph Learning.

[BibT_eX]

[DOI]

Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

Entailment-based Text Exploration with Application to the Health-care Domain.

[BibT_eX]

[DOI]

Meni Adler