---
title: "Who cites Illia Polosukhin — page 12"
description: "18,005 papers of the Elamur Research library cite the works of Illia Polosukhin, found in their bibliographies · page 12 of 12 · 1101–1116; the most cited…"
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---
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# Who cites Illia Polosukhin

18,396 citations of their works from 18,005 papers of our library (of the 140,884 whose bibliographies we read) · 1,116 with a page here, the most cited first · page 12 of 12 · 1101–1116 · [← Illia Polosukhin](https://md.research.elamur.ai/free/en/authors/illia-polosukhin/)

[← prev](https://md.research.elamur.ai/free/en/authors/illia-polosukhin/cited-by/page/11/) [1](https://md.research.elamur.ai/free/en/authors/illia-polosukhin/cited-by/) … [11](https://md.research.elamur.ai/free/en/authors/illia-polosukhin/cited-by/page/11/) **12**

1101. [**Survey on Code Generation with LLM-based Agents (基于大语言模型智能体的代码生成综述)**Yihong Dong (董益宏), Xue Jiang (姜雪), Jiaru Qian (钱家如), et al.*2025*](https://md.research.elamur.ai/free/en/papers/dong-2025-code-generation-llm/)
1102. [**Survey on Key Technologies for Large Language Model Pre-training Systems (大语言模型预训练系统关键技术综述)**Yanjie Gao (高彦杰), Yueguo Chen (陈跃国)*2025*](https://md.research.elamur.ai/free/en/papers/gao-2025-key-technologies-large/)
1103. [**Building and evaluating a Japanese-English bilingual model by vocabulary-replacing continual pretraining (語彙置換継続事前学習による日英バイリンガルモデルの構築と評価)**麻場直喜, 野崎雄太, 中島大, et al.*2024*](https://md.research.elamur.ai/free/en/papers/asaba-2024-building-evaluating-japanese-english/)
1104. [**Can generative AI recognise textual entailment? (生成 AI は含意関係認識ができるのか)**荒沢康平, 狩野芳伸*2024*](https://md.research.elamur.ai/free/en/papers/arasawa-2024-can-generative-ai-recognise/)
1105. [**Enhancing Medical Support in the Arabic Language Through Personalized ChatGPT Assistance**Mohamed Issa, Ahmed Abdelwahed*2024*](https://md.research.elamur.ai/free/en/papers/issa-2024-enhancing-medical-support-arabic-language/)
1106. [**Generation and Evaluation of English Grammar Multiple-Choice Cloze Exercises**Nicolò Donati, Matteo Periani, Paolo Di Natale, et al.*2024*](https://md.research.elamur.ai/free/en/papers/donati-2024-generation-evaluation-english-grammar-multiple/)
1107. [**Large Language Models and Biblical Hebrew: Limitations, pitfalls, opportunities**Camil Staps*2024*](https://md.research.elamur.ai/free/en/papers/staps-2024-large-language-models-biblical-hebrew/)
1108. [**Survey on Document-level Neural Machine Translation (文档级神经机器翻译综述)**Xinglin Lv (吕星林), Junhui Li (李军辉), Shimin Tao (陶仕敏), et al.*2024*](https://md.research.elamur.ai/free/en/papers/lv-2024-document-level-neural/)
1109. [**Survey on Hallucinations in Large Language Models (大语言模型的幻觉问题研究综述)**Zeyuan Liu (刘泽垣), Pengjiang Wang (王鹏江), Xiaobin Song (宋晓斌), et al.*2024*](https://md.research.elamur.ai/free/en/papers/liu-2024-hallucinations-large-language/)
1110. [**Content-Localization based Neural Machine Translation for Informal Dialectal Arabic: Spanish/French to Levantine/Gulf Arabic**Fatimah Alzamzami, Abdulmotaleb El Saddik*2023*](https://md.research.elamur.ai/free/en/papers/alzamzami-2023-content-localization-based-neural-machine/)
1111. [**Methods for Constraint Solving Problems Based on Learn to Reason Model: A Review (基于学习-推理的约束求解方法研究进展)**Yue Zou (邹悦), Jiayang Lai (赖家洋), Yonggang Zhang (张永刚)*2023*](https://md.research.elamur.ai/free/en/papers/zou-2023-methods-constraint-solving/)
1112. [**Questions After ChatGPT: Opportunities and Challenges of Very Large Pre-trained Models (问答ChatGPT之后: 超大预训练模型的机遇和挑战)**Jingwei Lu (卢经纬), Chao Guo (郭超), Xingyuan Dai (戴星原), et al.*2023*](https://md.research.elamur.ai/free/en/papers/lu-2023-questions-after-chatgpt/)
1113. [**Review and Performance Comparison of Deep Knowledge Tracing Models (深度知识追踪模型综述和性能比较)**Yu Wang (王宇), Mengxia Zhu (朱梦霞), Shanghui Yang (杨尚辉), et al.*2022*](https://md.research.elamur.ai/free/en/papers/wang-2022-performance-comparison-deep/)
1114. [**Style transfer and classification in hebrew news items**Nir Weingarten*2022*](https://md.research.elamur.ai/free/en/papers/weingarten-2022-style-transfer-classification-hebrew-news/)
1115. [**Survey on Vision-language Pre-training (视觉语言预训练综述)**Jiong Yin (殷炯), Zhedong Zhang (张哲东), Yuhan Gao (高宇涵), et al.*2022*](https://md.research.elamur.ai/free/en/papers/yin-2022-vision-language-pre/)
1116. [**Character Alignment in Morphologically Complex Translation Sets for Related Languages**Michael Gasser, Binyam Ephrem Seyoum, Nazareth Amlesom Kifle*2020*](https://md.research.elamur.ai/free/en/papers/gasser-2020-character-alignment-morphologically-complex-translation/)

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