---
title: "Tel Aviv University — works"
description: "54 works by researchers of Tel Aviv University in our library, the most cited first."
canonical: "https://research.elamur.ai/free/en/universities/tel-aviv-university/works/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/universities/tel-aviv-university/works/)

[home](https://md.research.elamur.ai/free/en/) / [institutions](https://md.research.elamur.ai/free/en/orgs/) / [universities](https://md.research.elamur.ai/free/en/universities/) / [Tel Aviv University](https://md.research.elamur.ai/free/en/universities/tel-aviv-university/) / works

# Works of Tel Aviv University

54 works · the most cited first · [← Tel Aviv University](https://md.research.elamur.ai/free/en/universities/tel-aviv-university/)

1. [**Using the Output Embedding to Improve Language Models**Ofir Press, Lior Wolf*2017 · 891 citations*](https://md.research.elamur.ai/free/en/papers/press-2017-output-embedding-improve-language-models/)
2. [**TaPas: Weakly Supervised Table Parsing via Pre-training**Jonathan Herzig, Pawel Krzysztof Nowak, Thomas Müller, et al.*2020 · 844 citations*](https://md.research.elamur.ai/free/en/papers/herzig-2020-tapas-weakly-supervised-table-parsing/)
3. [**Learning To Retrieve Prompts for In-Context Learning**Ohad Rubin, Jonathan Herzig, Jonathan Berant*2021 · 717 citations*](https://md.research.elamur.ai/free/en/papers/rubin-2021-learning-retrieve-prompts-context-learning/)
4. [**Evaluating Models' Local Decision Boundaries via Contrast Sets**Matt Gardner, Yoav Artzi, Victoria Basmov, et al.*2020 · 520 citations*](https://md.research.elamur.ai/free/en/papers/gardner-2020-evaluating-models-local-decision-boundaries/)
5. [**Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time**Mitchell Wortsman, Gabriel Ilharco, Samir Yitzhak Gadre, et al.*2022 · 474 citations*](https://md.research.elamur.ai/free/en/papers/wortsman-2022-model-soups-averaging-weights-multiple/)
6. [**oLMpics — On what Language Model Pre-training Captures**Alon Talmor, Yanai Elazar, Yoav Goldberg, et al.*2019 · 432 citations*](https://md.research.elamur.ai/free/en/papers/talmor-2019-olmpics-language-model-pre-training/)
7. [**MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension**Adam Fisch, Alon Talmor, Robin Jia, et al.*2019 · 375 citations*](https://md.research.elamur.ai/free/en/papers/fisch-2019-mrqa-2019-shared-task-evaluating/)
8. [**Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor**Or Honovich, Thomas Scialom, Omer Levy, et al.*2023 · 356 citations*](https://md.research.elamur.ai/free/en/papers/honovich-2023-unnatural-instructions-tuning-language-models/)
9. [**Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing**Tal Schuster, Ori Ram, Regina Barzilay, et al.*2019 · 294 citations*](https://md.research.elamur.ai/free/en/papers/schuster-2019-cross-lingual-alignment-contextual-word/)
10. [**TRUE: Re-evaluating Factual Consistency Evaluation**Or Honovich, Roee Aharoni, Jonathan Herzig, et al.*2022 · 276 citations*](https://md.research.elamur.ai/free/en/papers/honovich-2022-true-re-evaluating-factual-consistency/)
11. [**Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing**Ben Bogin, Jonathan Berant, Matt Gardner*2019 · 272 citations*](https://md.research.elamur.ai/free/en/papers/bogin-2019-representing-schema-structure-graph-neural/)
12. [**Injecting Numerical Reasoning Skills into Language Models**Mor Geva, Ankit Gupta, Jonathan Berant*2020 · 268 citations*](https://md.research.elamur.ai/free/en/papers/geva-2020-injecting-numerical-reasoning-skills-into/)
13. [**Humanity's Last Exam**Long Phan, Alice Gatti, Ziwen Han, et al.*2025 · 235 citations*](https://md.research.elamur.ai/free/en/papers/phan-2025-humanity-s-last-exam/)
14. [**MultiQA: An Empirical Investigation of Generalization and Transfer in Reading Comprehension**Alon Talmor, Jonathan Berant*2019 · 234 citations*](https://md.research.elamur.ai/free/en/papers/talmor-2019-multiqa-empirical-investigation-generalization-transfer/)
15. [**Break It Down: A Question Understanding Benchmark**Tomer Wolfson, Mor Geva, Ankit Gupta, et al.*2020 · 218 citations*](https://md.research.elamur.ai/free/en/papers/wolfson-2020-break-it-down-question-understanding/)
16. [**Making Retrieval-Augmented Language Models Robust to Irrelevant Context**Ori Yoran, Tomer Wolfson, Ori Ram, et al.*2023 · 193 citations*](https://md.research.elamur.ai/free/en/papers/yoran-2023-making-retrieval-augmented-language-models/)
17. [**Coreference Resolution with Entity Equalization**Ben Kantor, Amir Globerson*2019 · 176 citations*](https://md.research.elamur.ai/free/en/papers/kantor-2019-coreference-resolution-entity-equalization/)
18. [**SCROLLS: Standardized CompaRison Over Long Language Sequences**Uri Shaham, Elad Segal, Maor Ivgi, et al.*2022 · 162 citations*](https://md.research.elamur.ai/free/en/papers/shaham-2022-scrolls-standardized-comparison-over-long/)
19. [**In-Context Learning Creates Task Vectors**Roee Hendel, Mor Geva, Amir Globerson*2023 · 142 citations*](https://md.research.elamur.ai/free/en/papers/hendel-2023-context-learning-creates-task-vectors/)
20. [**Diverse Demonstrations Improve In-context Compositional Generalization**Itay Levy, Ben Bogin, Jonathan Berant*2023 · 139 citations*](https://md.research.elamur.ai/free/en/papers/levy-2023-diverse-demonstrations-improve-context-compositional/)
21. [**Analyzing Transformers in Embedding Space**Guy Dar, Mor Geva, Ankit Gupta, et al.*2023 · 129 citations*](https://md.research.elamur.ai/free/en/papers/dar-2023-analyzing-transformers-embedding-space/)
22. [**ZeroSCROLLS: A Zero-Shot Benchmark for Long Text Understanding**Uri Shaham, Maor Ivgi, Avia Efrat, et al.*2023 · 128 citations*](https://md.research.elamur.ai/free/en/papers/shaham-2023-zeroscrolls-zero-shot-benchmark-long/)
23. [**Coreference Resolution without Span Representations**Yuval Kirstain, Ori Ram, Omer Levy*2021 · 109 citations*](https://md.research.elamur.ai/free/en/papers/kirstain-2021-coreference-resolution-without-span-representations/)
24. [**HeBERT & HebEMO: a Hebrew BERT Model and a Tool for Polarity Analysis and Emotion Recognition**Avihay Chriqui, Inbal Yahav*2021 · 68 citations*](https://md.research.elamur.ai/free/en/papers/chriqui-2021-hebert-hebemo-hebrew-bert-model/)
25. [**Understanding Transformer Memorization Recall Through Idioms**Adi Haviv, Ido Cohen, Jacob Gidron, et al.*2023 · 62 citations*](https://md.research.elamur.ai/free/en/papers/haviv-2023-understanding-transformer-memorization-recall-through/)
26. [**Unsupervised Decomposition of a Document into Authorial Components**Moshe Koppel, Navot Akiva, Idan Dershowitz, et al.*2011 · 46 citations*](https://md.research.elamur.ai/free/en/papers/koppel-2011-unsupervised-decomposition-document-into-authorial/)
27. [**Semantic Inference at the Lexical-Syntactic Level for Textual Entailment Recognition**Roy Bar-Haim, Ido Dagan, Iddo Greental, et al.*2007 · 39 citations*](https://md.research.elamur.ai/free/en/papers/haim-2007-semantic-inference-lexical-syntactic-level/)
28. [**No case for Case in locality: Case does not help interpretation when intervention blocks A-bar chains**Naama Friedmann, Luigi Rizzi, Adriana Belletti*2017 · 37 citations*](https://md.research.elamur.ai/free/en/papers/friedmann-2017-no-case-case-locality-case/)
29. [**Reciprocal expressions and the Maximal Typicality Hypothesis**Eva B. Poortman, Marijn E. Struiksma, Nir Kerem, et al.*2018 · 30 citations*](https://md.research.elamur.ai/free/en/papers/poortman-2018-reciprocal-expressions-maximal-typicality-hypothesis/)
30. [**Stages rather than ages in the acquisition of movement structures: Data from sentence repetition and 27,696 spontaneous clauses**Naama Friedmann, Julia Reznick*2021 · 18 citations*](https://md.research.elamur.ai/free/en/papers/friedmann-2021-stages-rather-than-ages-acquisition/)
31. [**Machine Translation between Hebrew and Arabic: Needs, Challenges and Preliminary Solutions**Reshef Shilon, Nizar Habash, Alon Lavie, et al.*2010 · 17 citations*](https://md.research.elamur.ai/free/en/papers/shilon-2010-machine-translation-between-hebrew-arabic/)
32. [**ParaShoot: A Hebrew Question Answering Dataset**Omri Keren, Omer Levy*2021 · 12 citations*](https://md.research.elamur.ai/free/en/papers/keren-2021-parashoot-hebrew-question-answering-dataset/)
33. [**How Much Does Lookahead Matter for Disambiguation? Partial Arabic Diacritization Case Study**Saeed Esmail, Kfir Bar, Nachum Dershowitz*2022 · 10 citations*](https://md.research.elamur.ai/free/en/papers/esmail-2022-how-much-does-lookahead-matter/)
34. [**Usage patterns in the development of Hebrew grammatical subjects**Elitzur Dattner, Liron Kertes, Racehli Zwilling, et al.*2019 · 10 citations*](https://md.research.elamur.ai/free/en/papers/dattner-2019-usage-patterns-development-hebrew-grammatical/)
35. [**Transliteration of Judeo-Arabic Texts into Arabic Script Using Recurrent Neural Networks**Ori Terner, Kfir Bar, Nachum Dershowitz*2020 · 5 citations*](https://md.research.elamur.ai/free/en/papers/terner-2020-transliteration-judeo-arabic-texts-into/)
36. [**Code-Switching and Back-Transliteration Using a Bilingual Model**Daniel Weisberg Mitelman, Nachum Dershowitz, Kfir Bar*2024 · 5 citations*](https://md.research.elamur.ai/free/en/papers/mitelman-2024-code-switching-back-transliteration-bilingual/)
37. [**A Morphologically Annotated Hebrew CHILDES Corpus**Aviad Albert, Brian MacWhinney, Bracha Nir, et al.*2012 · 4 citations*](https://md.research.elamur.ai/free/en/papers/albert-2012-morphologically-annotated-hebrew-childes-corpus/)
38. [**HeGeL: A Novel Dataset for Geo-Location from Hebrew Text**Tzuf Paz-Argaman, Tal Bauman, Itai Mondshine, et al.*2023 · 4 citations*](https://md.research.elamur.ai/free/en/papers/argaman-2023-hegel-novel-dataset-geo-location/)
39. [**Critical biblical studies via word frequency analysis: unveiling text authorship**Shira Faigenbaum-Golovin, Alon Kipnis, Axel Buhler, et al.*2024 · 3 citations*](https://md.research.elamur.ai/free/en/papers/faigenbaum-golovin-2024-critical-biblical-studies-word-frequency/)
40. [**Phonikud: Overcoming Phonetic Underspecification for Hebrew Text-To-Speech**Yakov Kolani, Maxim Melichov, Cobi Calev, et al.*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/kolani-2025-phonikud-overcoming-phonetic-underspecification-hebrew/)
41. [**The head the construct: Construct state nominals as a novel window to syntactic movement difficulties in hearing impairment**Naama Friedmann, Ronit Szterman, Adriana Belletti, et al.*2018 · 3 citations*](https://md.research.elamur.ai/free/en/papers/friedmann-2018-head-construct-construct-state-nominals/)
42. [**Automatic Text Segmentation of Ancient and Historic Hebrew**Elisha Rosensweig, Benjamin Resnick, Hillel Gershuni, et al.*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/rosensweig-2025-automatic-text-segmentation-ancient-historic/)
43. [**MenakBERT — Hebrew Diacriticizer**Ido Cohen, Jacob Gidron, Idan Pinto*2024 · 2 citations*](https://md.research.elamur.ai/free/en/papers/cohen-2024-menakbert-hebrew-diacriticizer/)
44. [**The acquisition of Hebrew idioms: Stages, internal composition, and implications for storage**Julie Fadlon, Julia Horvath, Tal Siloni, et al.*2018 · 1 citation*](https://md.research.elamur.ai/free/en/papers/fadlon-2018-acquisition-hebrew-idioms-stages-internal/)
45. [**Ze lo kaχa ‘It’s Not Like That’: The Functions of the discourse-deictic kaχa ‘thus’ in spoken Israeli Hebrew**Leon Shor*2017 · 1 citation*](https://md.research.elamur.ai/free/en/papers/shor-2017-ze-lo-kaa-like-that/)
46. [**Style Classification of Rabbinic Literature for Detection of Lost Midrash Tanhuma Material**Solomon Tannor, Nachum Dershowitz, Moshe Lavee*2022*](https://md.research.elamur.ai/free/en/papers/tannor-2022-style-classification-rabbinic-literature-detection/)
47. [**The Development of Hebrew in Antiquity – A Computational Linguistic Study**Hallel Baitner, Dimid Duchovny, Lee-Ad Gottlieb, et al.*2025*](https://md.research.elamur.ai/free/en/papers/baitner-2025-development-hebrew-antiquity-computational-linguistic/)
48. [**Integrating Semantic and Statistical Features for Authorial Clustering of Qumran Scrolls**Yonatan Lourie, Jonathan Ben-Dov, Roded Sharan*2025*](https://md.research.elamur.ai/free/en/papers/lourie-2025-integrating-semantic-statistical-features-authorial/)
49. [**Systematic Textual Availability of Manuscripts**Hadar Miller, Samuel Londner, Tsvi Kuflik, et al.*2025*](https://md.research.elamur.ai/free/en/papers/miller-2025-systematic-textual-availability-manuscripts/)
50. [**A Layered Annotation Workflow for Semitic Epigraphy**Tal Bernstein, Shai Gordin, Letizia Cerqueglini*2026*](https://md.research.elamur.ai/free/en/papers/bernstein-2026-layered-annotation-workflow-semitic-epigraphy/)
51. [**Language Classification and Segmentation of Noisy Documents in Hebrew Scripts**Alex Zhicharevich, Nachum Dershowitz*2012*](https://md.research.elamur.ai/free/en/papers/zhicharevich-2012-language-classification-segmentation-noisy-documents/)
52. [**Decomposability and the syntactic flexibility of Hebrew idioms**Tom Dolev, Tal Siloni*2025*](https://md.research.elamur.ai/free/en/papers/dolev-2025-decomposability-syntactic-flexibility-hebrew-idioms/)
53. [**Grammatical generalizations and item-specific listing in Hebrew transitivity alternations**Yuval Z. Katz*2026*](https://md.research.elamur.ai/free/en/papers/katz-2026-grammatical-generalizations-item-specific-listing/)
54. [**Subject to change: Agreement and case**Nofar Rimon, Tal Siloni*2026*](https://md.research.elamur.ai/free/en/papers/rimon-2026-subject-change-agreement-case/)
- [← back to](https://md.research.elamur.ai/free/en/universities/tel-aviv-university/) — Tel Aviv University