---
title: "Who cites Ekaterina Kochmar — 202 papers of our library"
description: "202 papers of the Elamur Research library cite the works of Ekaterina Kochmar, found in their bibliographies; the most cited first."
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---
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# Who cites Ekaterina Kochmar

253 citations of their works from 202 papers of our library (of the 149,439 whose bibliographies we read) · 32 with a page here, the most cited first · [← Ekaterina Kochmar](https://md.research.elamur.ai/free/en/authors/ekaterina-kochmar/)

1. **[Supervised and Unsupervised Neural Approaches to Text Readability](https://md.research.elamur.ai/free/en/papers/martinc-2021-supervised-unsupervised-neural-approaches-text/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Matej Martinc, Senja Pollak, Marko Robnik-Šikonja*2021 · 190 citations*
2. **[Linguistic Features for Readability Assessment](https://md.research.elamur.ai/free/en/papers/deutsch-2020-linguistic-features-readability-assessment/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Tovly Deutsch, Masoud Jasbi, Stuart Shieber*2020 · 130 citations*
3. **[Pushing on Text Readability Assessment: A Transformer Meets Handcrafted Linguistic Features](https://md.research.elamur.ai/free/en/papers/lee-2021-pushing-text-readability-assessment-transformer/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Bruce W. Lee, Yoo Sung Jang, Jason Lee*2021 · 115 citations*
4. [**EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education arXiv:2308.02773**Yuhao Dan, Zhikai Lei, Yiyang Gu, et al.*2023 · 58 citations*](https://md.research.elamur.ai/free/en/papers/dan-2023-educhat-large-scale-language-model/)
5. [**Personalisation within bounds: A risk taxonomy and policy framework for the alignment of large language models with personalised feedback arXiv:2303.05453**Hannah Rose Kirk, Bertie Vidgen, Paul Rottger, et al.*2023 · 57 citations*](https://md.research.elamur.ai/free/en/papers/kirk-2023-personalisation-within-bounds-risk-taxonomy/)
6. **[The SAMER Arabic Text Simplification Corpus](https://md.research.elamur.ai/free/en/papers/alhafni-2024-samer-arabic-text-simplification-corpus/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Bashar Alhafni, Reem Hazim, Juan David Pineros Liberato, et al.*2024 · 30 citations*
7. **[Arabic Word-level Readability Visualization for Assisted Text Simplification](https://md.research.elamur.ai/free/en/papers/hazim-2022-arabic-word-level-readability-visualization/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Reem Hazim, Hind Saddiki, Bashar Alhafni, et al.*2022 · 29 citations*
8. **[Strategies for Arabic Readability Modeling](https://md.research.elamur.ai/free/en/papers/liberato-2024-strategies-arabic-readability-modeling/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Juan Liberato, Bashar Alhafni, Muhamed Khalil, et al.*2024 · 26 citations*
9. **[BAREC Shared Task 2025 on Arabic Readability Assessment](https://md.research.elamur.ai/free/en/papers/elmadani-2025-barec-shared-task-2025-arabic/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Khalid N. Elmadani, Bashar Alhafni, Hanada Taha, et al.*2025 · 18 citations*
10. **[Guidelines for Fine-grained Sentence-level Arabic Readability Annotation](https://md.research.elamur.ai/free/en/papers/habash-2025-guidelines-fine-grained-sentence-level/) [Linguistic Annotation Workshop (LAW)](https://md.research.elamur.ai/free/en/venues/law/)**Nizar Habash, Hanada Taha-Thomure, Khalid N. Elmadani, et al.*2025 · 18 citations*
11. **[DARES: Dataset for Arabic Readability Estimation of School Materials](https://md.research.elamur.ai/free/en/papers/haj-2024-dares-dataset-arabic-readability-estimation/) [Workshop on Evaluating Text Difficulty in a Multilingual Context](https://md.research.elamur.ai/free/en/venues/determit/)**Mo El-Haj, Sultan Almujaiwel, Damith Premasiri, et al.*2024 · 15 citations*
12. **[LXPER Index 2.0: Improving Text Readability Assessment Model for L2 English Students in Korea](https://md.research.elamur.ai/free/en/papers/lee-2020-lxper-index-2-0-improving/) [Workshop on Natural Language Processing Techniques for Educational Applications](https://md.research.elamur.ai/free/en/venues/nlptea/)**Bruce W. Lee, Jason Lee*2020 · 11 citations*
13. **[MathFusion: Enhancing Mathematical Problem-solving of LLM through Instruction Fusion](https://md.research.elamur.ai/free/en/papers/pei-2025-mathfusion-enhancing-mathematical-problem-solving/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qizhi Pei, Lijun Wu, Zhuoshi Pan, et al.*2025 · 10 citations*
14. **[Position: LLMs Can be Good Tutors in English Education](https://md.research.elamur.ai/free/en/papers/ye-2025-position-llms-can-be-good/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jingheng Ye, Shen Wang, Deqing Zou, et al.*2025 · 9 citations*
15. [**Traditional Readability Formulas Compared for English arXiv:2301.02975**Bruce W. Lee, Jason Hyung-Jong Lee*2023 · 9 citations*](https://md.research.elamur.ai/free/en/papers/lee-2023-traditional-readability-formulas-compared-english/)
16. **[Exposing the Achilles' Heel: Evaluating LLMs Ability to Handle Mistakes in Mathematical Reasoning](https://md.research.elamur.ai/free/en/papers/singh-2025-exposing-achilles-heel-evaluating-llms/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Joykirat Singh, Akshay Nambi, Vibhav Vineet*2025 · 8 citations*
17. [**Responsible AI for Test Equity and Quality: The Duolingo English Test as a Case Study arXiv:2409.07476**Jill Burstein, Geoffrey T. LaFlair, Kevin Yancey, et al.*2024 · 6 citations*](https://md.research.elamur.ai/free/en/papers/burstein-2024-responsible-ai-test-equity-quality/)
18. **[What Makes a Good Curriculum? Disentangling the Effects of Data Ordering on LLM Mathematical Reasoning](https://md.research.elamur.ai/free/en/papers/jia-2026-what-makes-good-curriculum-disentangling/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yaning Jia, Chunhui Zhang, Xingjian Diao, et al.*2026 · 4 citations*
19. [**Auto-Select Reading Passages in English Assessment Tests? arXiv:2205.06961**Bruce W. Lee, Jason H. Lee*2022 · 3 citations*](https://md.research.elamur.ai/free/en/papers/lee-2022-auto-select-reading-passages-english/)
20. **[AITutor-EvalKit: Exploring the Capabilities of AI Tutors](https://md.research.elamur.ai/free/en/papers/naeem-2026-aitutor-evalkit-exploring-capabilities-ai/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Numaan Naeem, Kaushal Kumar Maurya, Kseniia Petukhova, et al.*2026 · 2 citations*
21. **[Bridging the Culture Gap: A Framework for LLM-Driven Socio-Cultural Localization of Math Word Problems in Low-Resource Languages](https://md.research.elamur.ai/free/en/papers/azime-2026-bridging-culture-gap-framework-llm/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Israel Abebe Azime, Tadesse Destaw Belay, Dietrich Klakow, et al.*2026 · 1 citation*
22. **[CEFR-Cymraeg: A Dataset and Baseline Models for Language Proficiency Assessment in Welsh](https://md.research.elamur.ai/free/en/papers/waqar-2026-cefr-cymraeg-dataset-baseline-models/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Eeshan Waqar, Jonathan Davies, Dawn Knight, et al.*2026 · 1 citation*
23. **[Evaluating Answer Leakage Robustness of LLM Tutors against Adversarial Student Attacks](https://md.research.elamur.ai/free/en/papers/zhao-2026-evaluating-answer-leakage-robustness-llm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jin Zhao, Marta Knežević, Tanja Käser*2026 · 1 citation*
24. **[PATS: Personality-Aware Teaching Strategies with Large Language Model Tutors](https://md.research.elamur.ai/free/en/papers/rooein-2026-pats-personality-aware-teaching-strategies/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Donya Rooein, Sankalan Pal Chowdhury, Mariia Eremeeva, et al.*2026 · 1 citation*
25. **[LIS at BAREC Shared Task 2025: Multi-Scale Curriculum Learning for Arabic Sentence-Level Readability Assessment Using Pre-trained Language Models](https://md.research.elamur.ai/free/en/papers/djoudi-2025-lis-barec-shared-task-2025/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Anya Amel Nait Djoudi, Patrice Bellot, Adrian-Gabriel Chifu*2025 · 1 citation*
26. **[mucAI at BAREC Shared Task 2025: Towards Uncertainty Aware Arabic Readability Assessment](https://md.research.elamur.ai/free/en/papers/abdou-2025-mucai-barec-shared-task-2025/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Ahmed Abdou*2025 · 1 citation*
27. **[Towards Content Accessibility Through Lexical Simplification for Maltese as a Low-Resource Language](https://md.research.elamur.ai/free/en/papers/meli-2024-content-accessibility-through-lexical-simplification/) [Workshop on Language Technology for Equality, Diversity, Inclusion](https://md.research.elamur.ai/free/en/venues/ltedi/)**Martina Meli, Marc Tanti, Chris Porter*2024 · 1 citation*
28. **[Can LLMs Control Readability? A Multi-Dimensional Evaluation Framework for CEFR-Controlled Arabic Generation](https://md.research.elamur.ai/free/en/papers/rabih-2026-can-llms-control-readability-multi/) [Joint Workshop on Readability and Text Simplification (READIxTSAR) @ LREC](https://md.research.elamur.ai/free/en/venues/readi/)**Nour Rabih, Chatrine Qwaider, Ted Briscoe*2026*
29. **[From Metrics to Meaning: Rule-Grounded LLM Explanations for Data Literacy in the Case of Youth Football](https://md.research.elamur.ai/free/en/papers/pilka-2026-metrics-meaning-rule-grounded-llm/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Tomasz Piłka, Tomasz Kuczyński, Mateusz Czajka*2026*
30. **[Opportunities and Challenges of LLMs in Education: An NLP Perspective](https://md.research.elamur.ai/free/en/papers/vajjala-2026-opportunities-challenges-llms-education-nlp/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Sowmya Vajjala, Bashar Alhafni, Stefano Banno, et al.*2026*
31. **[The Aftermath of DrawEduMath: Vision Language Models Underperform with Struggling Students and Misdiagnose Errors](https://md.research.elamur.ai/free/en/papers/lucy-2026-aftermath-drawedumath-vision-language-models/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Li Lucy, Albert Zhang, Nathan Anderson, et al.*2026*
32. [**LangLingual: A Personalised, Exercise-oriented English Language Learning Tool Leveraging Large Language Models arXiv:2510.23011**Sammriddh Gupta, Sonit Singh, Aditya Joshi, et al.*2025*](https://md.research.elamur.ai/free/en/papers/gupta-2025-langlingual-personalised-exercise-oriented-english/)

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

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