2026 Jonathan Berant: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	55	4301	4181	66	63	141	12448

Overview

Jonathan Berant is affiliated with Tel Aviv University in Israel and specializes primarily in Computer Science. Their research focuses extensively on Artificial Intelligence, with notable contributions in related subfields such as Computer Vision and Pattern Recognition, Information Systems, Molecular Biology, and Materials Chemistry.

The scientist's main topics of study include:

Topic Modeling
Natural Language Processing Techniques
Multimodal Machine Learning Applications
Domain Adaptation and Few-Shot Learning
Adversarial Robustness in Machine Learning
Speech and dialogue systems
Explainable Artificial Intelligence (XAI)

Jonathan Berant has published extensively in various academic venues. Frequent publication venues include:

arXiv (Cornell University)
Transactions of the Association for Computational Linguistics
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Their recent papers feature a range of topics related to natural language processing and machine learning. Notable recent publications include:

Learning To Retrieve Prompts for In-Context Learning (2022), published in Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies (2021), published in Transactions of the Association for Computational Linguistics
oLMpics-On What Language Model Pre-training Captures (2020), published in Transactions of the Association for Computational Linguistics
Break It Down: A Question Understanding Benchmark (2020), published in Transactions of the Association for Computational Linguistics
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies (2021), published in arXiv (Cornell University)

Jonathan Berant collaborates frequently with several co-authors, including:

Mor Geva
Ori Yoran
Maor Ivgi
Ben Bogin
Tomer Wolfson

Best Publications

Semantic Parsing on Freebase from Question-Answer Pairs

Jonathan Berant;Andrew Chou;Roy Frostig;Percy Liang

1795
Citations
CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge

Alon Talmor;Jonathan Herzig;Nicholas Lourie;Jonathan Berant

773
Citations
Semantic Parsing via Paraphrasing

Jonathan Berant;Percy Liang

630
Citations
Learning To Retrieve Prompts for In-Context Learning

Unknown

578
Citations
The Web as a Knowledge-Base for Answering Complex Questions

Alon Talmor;Jonathan Berant

441
Citations
Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision

Chen Liang;Chen Liang;Chen Liang;Jonathan Berant;Jonathan Berant;Jonathan Berant;Quoc V. Le;Quoc V. Le;Quoc V. Le;Kenneth D. Forbus

412
Citations
Building a Semantic Parser Overnight

Yushi Wang;Jonathan Berant;Percy Liang

378
Citations
oLMpics-On What Language Model Pre-training Captures

Alon Talmor;Yanai Elazar;Yoav Goldberg;Jonathan Berant

371
Citations
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets

Mor Geva;Yoav Goldberg;Jonathan Berant

319
Citations
Evaluating Models’ Local Decision Boundaries via Contrast Sets

Matt Gardner;Yoav Artzi;Victoria Basmov;Jonathan Berant

318
Citations
Modeling Biological Processes for Reading Comprehension

Jonathan Berant;Vivek Srikumar;Pei-Chun Chen;Abby Vander Linden

228
Citations
Learning Recurrent Span Representations for Extractive Question Answering

Kenton Lee;Shimi Salant;Tom Kwiatkowski;Ankur Parikh

195
Citations
MultiQA: An Empirical Investigation of Generalization and Transfer in Reading Comprehension

Alon Talmor;Jonathan Berant

193
Citations
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies

Mor Geva;Daniel Khashabi;Elad Segal;Tushar Khot

183
Citations
Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing.

Ben Bogin;Jonathan Berant;Matt Gardner

179
Citations
Coarse-to-Fine Question Answering for Long Documents

Eunsol Choi;Daniel Hewlett;Jakob Uszkoreit;Illia Polosukhin

173
Citations
Injecting Numerical Reasoning Skills into Language Models

Mor Geva;Ankit Gupta;Jonathan Berant

167
Citations
Global Learning of Typed Entailment Rules

Jonathan Berant;Ido Dagan;Jacob Goldberger

164
Citations
Text Segmentation as a Supervised Learning Task

Omri Koshorek;Adir Cohen;Noam Mor;Michael Rotman

143
Citations
Making Retrieval-Augmented Language Models Robust to Irrelevant Context

Unknown

141
Citations
Break It Down: A Question Understanding Benchmark

Tomer Wolfson;Tomer Wolfson;Mor Geva;Mor Geva;Ankit Gupta;Matt Gardner

121
Citations
Evaluating Models' Local Decision Boundaries via Contrast Sets.

Matt Gardner;Yoav Artzi;Victoria Basmova;Jonathan Berant

98
Citations

Frequent Co-Authors

Amir Globerson Tel Aviv University

Matt Gardner Allen Institute for Artificial Intelligence

Ido Dagan Bar-Ilan University

Quoc V. Le Google (United States)

Gal Chechik Bar-Ilan University

Yoav Goldberg Bar-Ilan University

Jacob Goldberger Bar-Ilan University

Hannaneh Hajishirzi University of Washington

Sameer Singh University of California, Irvine

Peter Clark Allen Institute for Artificial Intelligence

External Links

Personal website of Jonathan Berant Google Scholar page

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