---
title: "Who cites Ethan Fetaya — 85 papers of our library"
description: "85 papers of the Elamur Research library cite the works of Ethan Fetaya, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/ethan-fetaya/cited-by/"
---
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# Who cites Ethan Fetaya

89 citations of their works from 85 papers of our library (of the 149,439 whose bibliographies we read) · 9 with a page here, the most cited first · [← Ethan Fetaya](https://md.research.elamur.ai/free/en/authors/ethan-fetaya/)

1. [**Relational inductive biases, deep learning, and graph networks arXiv:1806.01261**Peter W. Battaglia, Jessica B. Hamrick, Victor Bapst, et al.*2018 · 2,335 citations*](https://md.research.elamur.ai/free/en/papers/battaglia-2018-relational-inductive-biases-deep-learning/)
2. [**Filling the Gaps in Ancient Akkadian Texts: A Masked Language Modelling Approach**Koren Lazar, Benny Saret, Asaf Yehudai, et al.*2021 · 30 citations*](https://md.research.elamur.ai/free/en/papers/lazar-2021-filling-gaps-ancient-akkadian-texts/)
3. **[Does DetectGPT Fully Utilize Perturbation? Bridging Selective Perturbation to Fine-tuned Contrastive Learning Detector would be Better](https://md.research.elamur.ai/free/en/papers/liu-2024-does-detectgpt-fully-utilize-perturbation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shengchao Liu, Xiaoming Liu, Yichen Wang, et al.*2024 · 16 citations*
4. [**MsBERT: A New Model for the Reconstruction of Lacunae in Hebrew Manuscripts**Avi Shmidman, Ometz Shmidman, Hillel Gershuni, et al.*2024 · 4 citations*](https://md.research.elamur.ai/free/en/papers/shmidman-2024-msbert-new-model-reconstruction-lacunae/)
5. [**Embible: Reconstruction of Ancient Hebrew and Aramaic Texts Using Transformers**Niv Fono, Harel Moshayof, Eldar Karol, et al.*2024 · 3 citations*](https://md.research.elamur.ai/free/en/papers/fono-2024-embible-reconstruction-ancient-hebrew-aramaic/)
6. [**From Statistical Relational to Neurosymbolic Artificial Intelligence: a Survey arXiv:2108.11451**Giuseppe Marra, Sebastijan Dumančić, Robin Manhaeve, et al.*2021 · 3 citations*](https://md.research.elamur.ai/free/en/papers/marra-2021-statistical-relational-neurosymbolic-artificial/)
7. [**EvaCun 2025 Shared Task: Lemmatization and Token Prediction in Akkadian and Sumerian using LLMs**Shai Gordin, Aleksi Sahala, Shahar Spencer, et al.*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/gordin-2025-evacun-2025-shared-task-lemmatization/)
8. **[Building a Corpus and Database for Rare and Undeciphered Scripts](https://md.research.elamur.ai/free/en/papers/megyesi-2026-building-corpus-database-rare-undeciphered/) [Workshop on Language Technologies for Historical and Ancient Languages @ LREC](https://md.research.elamur.ai/free/en/venues/lt4hala/)**Beata Megyesi, Rune Rattenborg, Benedek Láng, et al.*2026*
9. **[Validator-Guided Hard Negative Mining for Masked Language Modeling in Low-Resource Ancient Languages](https://md.research.elamur.ai/free/en/papers/voinea-2026-validator-guided-hard-negative-mining/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Andrei Voinea*2026*

76 more citing papers of our library have no page here yet.

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