Computing Answers to Complex Questions in Broad Domains

Información del proyecto

DELPHI

Identificador del acuerdo de subvención: 802800

DOI

10.3030/802800

Proyecto cerrado

Fecha de la firma de la CE 14 Noviembre 2018

Fecha de inicio 1 Abril 2019

Fecha de finalización 31 Marzo 2026

Financiado con arreglo a

• EXCELLENT SCIENCE - European Research Council (ERC)

Coste total

€ 1 499 375,00

Aportación de la UE

€ 1 499 375,00

Coordinado por

TEL AVIV UNIVERSITY
Israel

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Publicaciones

Conference proceedings (31)

Diverse Demonstrations Improve In-context Compositional Generalization

Autores: Itay Levy, Ben Bogin, Jonathan Berant
Publicado en: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023, Página(s) 1401-1422
Editor: Association for Computational Linguistics
DOI: 10.18653/v1/2023.acl-long.78

MAKING RETRIEVAL-AUGMENTED LANGUAGEMODELS ROBUST TO IRRELEVANT CONTEXT

Autores: Ori Yoran Tomer Wolfson Ori Ram Jonathan Berant
Publicado en: Edición Published as a conference paper at ICLR 2024, 2024
Editor: The Twelfth International Conference on Learning Representations ICLR 2024

Unobserved Local Structures Make Compositional Generalization Hard

Autores: Ben Bogin, Shivanshu Gupta, Jonathan Berant
Publicado en: Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2026, Página(s) 2731-2747
Editor: Association for Computational Linguistics
DOI: 10.18653/v1/2022.emnlp-main.175

"""COVR: A test-bed for Visually Grounded Compositional Generalization with real images"""

Autores: Ben Bogin, Shivanshu Gupta, Matt Gardner, Jonathan Berant
Publicado en: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021, Página(s) 9824–9846
Editor: Association for Computational Linguistics

MultimodalQA: Complex Question Answering over Text, Tables and Images

Autores: Alon Talmor, Ori Yoran, Amnon Catav, Dan Lahav, Yizhong Wang, Akari Asai, Gabriel Ilharco, Hannaneh Hajishirzi, Jonathan Berant
Publicado en: Proceedings of the 2021 International Conference on Learning Representations, 2021
Editor: ICLR 2021

A Simple and Effective Model for Answering Multi-span Questions

Autores: Elad Segal, Avia Efrat, Mor Shoham, Amir Globerson, Jonathan Berant
Publicado en: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020, Página(s) 3074-3080
Editor: Association for Computational Linguistics
DOI: 10.18653/v1/2020.emnlp-main.248

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

Autores: Mor Geva, Uri Katz, Aviv Ben-Arie, Jonathan Berant
Publicado en: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Editor: Association for Computational Linguistics

Achieving Model Robustness Through Discrete Adversarial Training

Autores: Maor Ivgi and Jonathan Berant
Publicado en: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Editor: ACL 2021

Learning To Retrieve Prompts for In-Context Learning

Autores: Ohad Rubin, Jonathan Herzig, Jonathan Berant
Publicado en: Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022, Página(s) 2655-2671
Editor: Association for Computational Linguistics
DOI: 10.18653/v1/2022.naacl-main.191

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

Autores: Ido Amos, Jonathan Berant, Ankit Gupta
Publicado en: ICLR 2024 oral, 2024
Editor: Published as a conference paper at ICLR 2024

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

Autores: Maor Ivgi, Yair Carmon, Jonathan Berant
Publicado en: Findings of the Association for Computational Linguistics: EMNLP 2022, 2026, Página(s) 7354-7371
Editor: Association for Computational Linguistics
DOI: 10.18653/v1/2022.findings-emnlp.544

Inferring Implicit Relations in Complex Questions with Language Models

Autores: Uri Katz, Mor Geva, Jonathan Berant
Publicado en: Findings of the Association for Computational Linguistics: EMNLP 2022, 2026, Página(s) 2548-2566
Editor: Association for Computational Linguistics
DOI: 10.18653/v1/2022.findings-emnlp.188

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

Autores: Inbar Oren, Jonathan Herzig, Jonathan Berant
Publicado en: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Editor: Association for Computational Linguistics

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

Autores: Ori Yoran, Alon Talmor, Jonathan Berant
Publicado en: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022, Página(s) 6016-6031
Editor: Association for Computational Linguistics
DOI: 10.18653/v1/2022.acl-long.416

Training Vision-Language Models with Less Bimodal Supervision

Autores: Elad Segal, Ben Bogin, Jonathan Berant
Publicado en: 2022
Editor: AKBC 2022
DOI: 10.48550/arxiv.2211.00262

Injecting Numerical Reasoning Skills into Language Models

Autores: Mor Geva, Ankit Gupta, Jonathan Berant
Publicado en: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020, Página(s) 946-958
Editor: Association for Computational Linguistics
DOI: 10.18653/v1/2020.acl-main.89

SCROLLS: Standardized CompaRison Over Long Language Sequences

Autores: Uri Shaham, Elad Segal, Maor Ivgi, Avia Efrat, Ori Yoran, Adi Haviv, Ankit Gupta, Wenhan Xiong, Mor Geva, Jonathan Berant, Omer Levy
Publicado en: Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2026, Página(s) 12007-12021
Editor: Association for Computational Linguistics
DOI: 10.18653/v1/2022.emnlp-main.823

Scene Graph tO Image Generation with Contextualized Object Layout Refinement

Autores: Maor Ivgi, Yaniv Benny, Avichai Ben-David, Jonathan Berant, Lior Wolf
Publicado en: 2021 IEEE International Conference on Image Processing (ICIP), 2021, Página(s) 2428-2432, ISBN 978-1-6654-4115-5
Editor: IEEE
DOI: 10.1109/icip42928.2021.9506651

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

Autores: Talmor, Alon; Tafjord, Oyvind; Clark, Peter; Goldberg, Yoav; Berant, Jonathan
Publicado en: Advances in Neural Information Processing Systems 33 pre-proceedings (NeurIPS 2020), Edición 4, 2020
Editor: NeurIPS 2020

CommonsenseQA 2.0: Exposing the Limits of AI through Gamification

Autores: Alon Talmor, Ori Yoran, Ronan Le Bras, Chandra Bhagavatula, Yoav Goldberg, Yejin Choi, Jonathan Berant
Publicado en: Proceedings of the Thirty-fifth Conference on Neural Information Processing Systems (Datasets and Benchmarks Track), 2021
Editor: NeurIPS 2021

Improving Compositional Generalization in Semantic Parsing

Autores: Inbar Oren, Jonathan Herzig, Nitish Gupta, Matt Gardner, Jonathan Berant
Publicado en: Findings of the Association for Computational Linguistics: EMNLP 2020, 2020, Página(s) 2482-2495
Editor: Association for Computational Linguistics
DOI: 10.18653/v1/2020.findings-emnlp.225

SmBoP: Semi-autoregressive Bottom-up Semantic Parsing

Autores: Ohad Rubin, Jonathan Berant
Publicado en: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021, Página(s) 311-324
Editor: Association for Computational Linguistics
DOI: 10.18653/v1/2021.naacl-main.29

In-Context Learning with Long-Context Models: An In-Depth Exploration

Autores: Amanda Bertsch, Maor Ivgi, Emily Xiao, Uri Alon, Jonathan Berant, Matthew R. Gormley, Graham Neubig
Publicado en: Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2025, Página(s) 12119-12149
Editor: Association for Computational Linguistics
DOI: 10.18653/v1/2025.naacl-long.605

Evaluating the Evaluation of Diversity in Natural Language Generation

Autores: Guy Tevet, Jonathan Berant
Publicado en: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021, Página(s) 326-346
Editor: Association for Computational Linguistics
DOI: 10.18653/v1/2021.eacl-main.25

ASSISTANTBENCH: Can Web Agents SolveRealistic and Time-Consuming Tasks?

Autores: Ori Yoran Samuel Joseph Amouyal Chaitanya Malaviya Ben Bogin Ofir Press Jonathan Berant
Publicado en: 2024
Editor: arXiv:2407.15711v2 [cs.CL] 21 Oct 2024

Evaluating Models’ Local Decision Boundaries via Contrast Sets

Autores: Matt Gardner, Yoav Artzi, Victoria Basmov, 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
Publicado en: Findings of the Association for Computational Linguistics: EMNLP 2020, 2020, Página(s) 1307-1323
Editor: Association for Computational Linguistics
DOI: 10.18653/v1/2020.findings-emnlp.117

Span-based Semantic Parsing for Compositional Generalization

Autores: Jonathan Herzig, Jonathan Berant
Publicado en: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 2021, Página(s) 908-921
Editor: Association for Computational Linguistics
DOI: 10.18653/v1/2021.acl-long.74

Differentiable Scene Graphs

Autores: Moshiko Raboh, Roei Herzig, Jonathan Berant, Gal Chechik, Amir Globerson
Publicado en: 2020 IEEE Winter Conference on Applications of Computer Vision (WACV), 2020, Página(s) 1477-1486, ISBN 978-1-7281-6553-0
Editor: IEEE
DOI: 10.1109/wacv45572.2020.9093297

Obtaining Faithful Interpretations from Compositional Neural Networks

Autores: Sanjay Subramanian, Ben Bogin, Nitish Gupta, Tomer Wolfson, Sameer Singh, Jonathan Berant, Matt Gardner
Publicado en: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020, Página(s) 5594-5608
Editor: Association for Computational Linguistics
DOI: 10.18653/v1/2020.acl-main.495

Weakly Supervised Text-to-SQL Parsing through Question Decomposition

Autores: Tomer Wolfson, Daniel Deutch, Jonathan Berant
Publicado en: Findings of the Association for Computational Linguistics: NAACL 2022, 2022, Página(s) 2528-2542
Editor: Association for Computational Linguistics
DOI: 10.18653/v1/2022.findings-naacl.193

Answering Questions by Meta-Reasoning over Multiple Chains of Thought

Autores: Ori Yoran, Tomer Wolfson, Ben Bogin, Uri Katz, Daniel Deutch, Jonathan Berant
Publicado en: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023, Página(s) 5942-5966
Editor: Association for Computational Linguistics
DOI: 10.18653/v1/2023.emnlp-main.364

Other (3)

Question Decomposition with Dependency Graphs

Autores: Matan Hasson, Jonathan Berant
Publicado en: AKBC 2021, 2021
Editor: non-archival

Efficient Long-Text Understanding with Short-Text Models

Autores: Maor Ivgi, Uri Shaham, Jonathan Berant
Publicado en: arXiv:2208.00748v3 [cs.CL] 27 Dec 2022, 2022
Editor: Accepted for publication in Transactions of the Association for Computational Linguistics (TACL), 2023.
DOI: 10.48550/arxiv.2208.00748

Simplifying and Understanding State Space Modelswith Diagonal Linear RNNs

Autores: Ankit Gupta, Harsh Mehta, Jonathan Berant
Publicado en: 2022
Editor: OTHER
DOI: 10.48550/arxiv.2212.00768

Peer reviewed articles (6)

Retrieval-Pretrained Transformer: Long-range Language Modeling with Self-retrieval

Autores: Ohad Rubin, Jonathan Berant
Publicado en: Transactions of the Association for Computational Linguistics, Edición 12, 2024, Página(s) 1197-1213, ISSN 2307-387X
Editor: MIT Press
DOI: 10.1162/tacl_a_00693

oLMpics-On What Language Model Pre-training Captures

Autores: Alon Talmor, Yanai Elazar, Yoav Goldberg, Jonathan Berant
Publicado en: Transactions of the Association for Computational Linguistics, Edición 8, 2020, Página(s) 743-758, ISSN 2307-387X
Editor: The MIT Press
DOI: 10.1162/tacl_a_00342

Break It Down: A Question Understanding Benchmark

Autores: Tomer Wolfson; Mor Geva; Ankit Gupta; Matt Gardner; Yoav Goldberg; Daniel Deutch; Jonathan Berant
Publicado en: Transactions of the Association for Computational Linguistics, Vol 8, Pp 183-198 (2020), Edición 2, 2020, ISSN 2307-387X
Editor: MIT Press Journals
DOI: 10.1162/tacl_a_00309

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

Autores: Mor Geva, Tomer Wolfson, Jonathan Berant
Publicado en: Transactions of the Association for Computational Linguistics, 2021, 2021, ISSN 2307-387X
Editor: MIT Press

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

Autores: Mor Geva, Daniel Khashabi, Elad Segal, Tushar Khot, Dan Roth, Jonathan Berant
Publicado en: Transactions of the Association for Computational Linguistics, Edición 9, 2021, Página(s) 346-361, ISSN 2307-387X
Editor: MIT Press
DOI: 10.1162/tacl_a_00370

Latent compositional representations improve systematic generalization in grounded question answering.

Autores: Ben Bogin, Sanjay Subramanian, Matt Gardner, Jonathan Berant
Publicado en: Transactions of the Association for Computational Linguistics (TACL) - volume 9, 2021, ISSN 2307-387X
Editor: MIT Press