---
title: "Jonathan Berant — papers"
description: "Jonathan Berant: 12 papers in the Elamur Research library (2014–2023) — our summary of each, its ideas, references and who cites it."
canonical: "https://research.elamur.ai/free/en/authors/jonathan-berant/"
---
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# Jonathan Berant

12 papers on this site (2014–2023)

[OpenAlex](https://openalex.org/A5045872048) · h-index 45 · 218 works · 10744 citations (openalex-snapshot, 2026-10-14)

Profile data from OpenAlex; authors with the same name are not always told apart.

- [Analyzing Transformers in Embedding Space](https://md.research.elamur.ai/free/en/papers/dar-2023-analyzing-transformers-embedding-space/) — Guy Dar, Mor Geva, Ankit Gupta, et al. · 2023
- [Diverse Demonstrations Improve In-context Compositional Generalization](https://md.research.elamur.ai/free/en/papers/levy-2023-diverse-demonstrations-improve-context-compositional/) — Itay Levy, Ben Bogin, Jonathan Berant · 2023
- [Making Retrieval-Augmented Language Models Robust to Irrelevant Context](https://md.research.elamur.ai/free/en/papers/yoran-2023-making-retrieval-augmented-language-models/) — Ori Yoran, Tomer Wolfson, Ori Ram, et al. · 2023
- [ZeroSCROLLS: A Zero-Shot Benchmark for Long Text Understanding](https://md.research.elamur.ai/free/en/papers/shaham-2023-zeroscrolls-zero-shot-benchmark-long/) — Uri Shaham, Maor Ivgi, Avia Efrat, et al. · 2023
- [SCROLLS: Standardized CompaRison Over Long Language Sequences](https://md.research.elamur.ai/free/en/papers/shaham-2022-scrolls-standardized-comparison-over-long/) — Uri Shaham, Elad Segal, Maor Ivgi, et al. · 2022
- [Learning To Retrieve Prompts for In-Context Learning](https://md.research.elamur.ai/free/en/papers/rubin-2021-learning-retrieve-prompts-context-learning/) — Ohad Rubin, Jonathan Herzig, Jonathan Berant · 2021
- [Break It Down: A Question Understanding Benchmark](https://md.research.elamur.ai/free/en/papers/wolfson-2020-break-it-down-question-understanding/) — Tomer Wolfson, Mor Geva, Ankit Gupta, et al. · 2020
- [Evaluating Models' Local Decision Boundaries via Contrast Sets](https://md.research.elamur.ai/free/en/papers/gardner-2020-evaluating-models-local-decision-boundaries/) — Matt Gardner, Yoav Artzi, Victoria Basmov, et al. · 2020
- [Injecting Numerical Reasoning Skills into Language Models](https://md.research.elamur.ai/free/en/papers/geva-2020-injecting-numerical-reasoning-skills-into/) — Mor Geva, Ankit Gupta, Jonathan Berant · 2020
- [MultiQA: An Empirical Investigation of Generalization and Transfer in Reading Comprehension](https://md.research.elamur.ai/free/en/papers/talmor-2019-multiqa-empirical-investigation-generalization-transfer/) — Alon Talmor, Jonathan Berant · 2019
- [oLMpics -- On what Language Model Pre-training Captures](https://md.research.elamur.ai/free/en/papers/talmor-2019-olmpics-language-model-pre-training/) — Alon Talmor, Yanai Elazar, Yoav Goldberg, et al. · 2019
- [Modeling Biological Processes for Reading Comprehension](https://md.research.elamur.ai/free/en/papers/berant-2014-modeling-biological-processes-reading-comprehension/) — Jonathan Berant, Vivek Srikumar, Pei-Chun Chen, et al. · 2014