---
title: "Who cites Nouamane Tazi — page 6 — 2,062 citing papers"
description: "2,062 papers of the Elamur Research library cite the works of Nouamane Tazi, found in their bibliographies · page 6 of 6 · 501–515; the most…"
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---
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# Who cites Nouamane Tazi

2,123 citations of their works from 2,062 papers of our library (of the 149,439 whose bibliographies we read) · 515 with a page here, the most cited first · page 6 of 6 · 501–515 · [← Nouamane Tazi](https://md.research.elamur.ai/free/en/authors/nouamane-tazi/)

[← prev](https://md.research.elamur.ai/free/en/authors/nouamane-tazi/cited-by/page/5/) [1](https://md.research.elamur.ai/free/en/authors/nouamane-tazi/cited-by/) … [5](https://md.research.elamur.ai/free/en/authors/nouamane-tazi/cited-by/page/5/) **6**

501. **[TextMineX: Data, Evaluation Framework and Ontology-guided LLM Pipeline for Humanitarian Mine Action](https://md.research.elamur.ai/free/en/papers/zhou-2026-textminex-data-evaluation-framework-ontology/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chenyue Zhou, Gürkan Solmaz, Flavio Cirillo, et al.*2026*
502. **[The Impact of Tokenization Algorithms on Hungarian Language Model Performance](https://md.research.elamur.ai/free/en/papers/osvath-2026-impact-tokenization-algorithms-hungarian-language/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Mátyás Osváth, Máté Norbert Molnár, Roland Gunics, et al.*2026*
503. **[TONY: an open-source TOolkit for Nlp in psYchology](https://md.research.elamur.ai/free/en/papers/ravenda-2026-tony-open-source-toolkit-nlp/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Federico Ravenda, Sofia Irene Ravenda, Volodymyr Karpenko, et al.*2026*
504. **[Training Biomedical Retrievers From Large-Scale Citation Contexts](https://md.research.elamur.ai/free/en/papers/wang-2026-training-biomedical-retrievers-large-scale/) [BioNLP](https://md.research.elamur.ai/free/en/venues/bionlp/)**Xing David Wang, Duy Le Thanh, Ulf Leser*2026*
505. **[Transferring Scientific English Pre-Trained Language Models to Multiple Languages Using Cross-Lingual Transfer](https://md.research.elamur.ai/free/en/papers/rauscher-2026-transferring-scientific-english-pre-trained/) [Natural Scientific Language Processing (NSLP) @ LREC](https://md.research.elamur.ai/free/en/venues/nslp/)**Nikolas Rauscher, Fabio Barth, Georg Rehm*2026*
506. **[TReX: Tokenizer Regression for Optimal Data Mixture](https://md.research.elamur.ai/free/en/papers/won-2026-trex-tokenizer-regression-optimal-data/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Inho Won, Hangyeol Yoo, Minkyung Cho, et al.*2026*
507. **[Vinclat: Evaluating Reasoning, Cognition and Culture in One Game](https://md.research.elamur.ai/free/en/papers/pamies-2026-vinclat-evaluating-reasoning-cognition-culture/) [Workshop on Multilingual Multicultural Evaluation](https://md.research.elamur.ai/free/en/venues/mme/)**Marc Pàmies, Javier Aula-Blasco, Aitor Gonzalez-Agirre, et al.*2026*
508. **[When Numbers Tell Half the Story: Human-Metric Alignment in Topic Model Evaluation](https://md.research.elamur.ai/free/en/papers/prouteau-2026-when-numbers-tell-half-story/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Thibault Prouteau, Francis Lareau, Nicolas Dugue, et al.*2026*
509. **[Why do Large Language Models Fail in Low-resource Translation? Unraveling the Token Dynamics of Large Language Models for Machine Translation](https://md.research.elamur.ai/free/en/papers/qian-2026-why-do-large-language-models/) [Annual Conference of the European Association for Machine Translation (EAMT)](https://md.research.elamur.ai/free/en/venues/eamt/)**Shenbin Qian, Yves Scherrer*2026*
510. [**Assessing the Agreement Competence of Large Language Models**Alba Táboas García, Leo Wanner*2025*](https://md.research.elamur.ai/free/en/papers/garcia-2025-assessing-agreement-competence-large-language/)
511. [**NeoDictaBERT: Pushing the Frontier of BERT models for Hebrew**Shaltiel Shmidman, Avi Shmidman, Moshe Koppel*2025*](https://md.research.elamur.ai/free/en/papers/shmidman-2025-neodictabert-pushing-frontier-bert-models/)
512. **[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)](https://md.research.elamur.ai/free/en/papers/gao-2025-key-technologies-large/) [Journal of Software](https://md.research.elamur.ai/free/en/venues/journal-of-software/)**Yanjie Gao (高彦杰), Yueguo Chen (陈跃国)*2025*
513. **[DRU at WojoodNER 2024: A Multi-level Method Approach](https://md.research.elamur.ai/free/en/papers/hamoud-2024-dru-wojoodner-2024-multi-level/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Hadi Hamoud, Chadi Abou Chakra, Nancy Hamdan, et al.*2024*
514. [**Estimating the Level of Dialectness Predicts Interannotator Agreement in Multi-dialect Arabic Datasets arXiv:2405.11282**Amr Keleg, Walid Magdy, Sharon Goldwater*2024*](https://md.research.elamur.ai/free/en/papers/keleg-2024-estimating-level-dialectness-predicts-interannotator/)
515. **[Part-of-Speech and Morphological Tagging of Algerian Judeo-Arabic](https://md.research.elamur.ai/free/en/papers/becker-2022-part-speech-morphological-tagging-algerian/) [Northern European Journal of Language Technology](https://md.research.elamur.ai/free/en/venues/northern-european-journal-of-language-technology/)**Ofra Tirosh-Becker, Michal Kessler, Oren Becker, et al.*2022*

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