---
title: "Who cites Alexandra Sasha — page 6 — 2,113 citing papers"
description: "2,113 papers of the Elamur Research library cite the works of Alexandra Sasha Luccioni, found in their bibliographies · page 6 of 6 · 501–508…"
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---
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# Who cites Alexandra Sasha Luccioni

2,303 citations of their works from 2,113 papers of our library (of the 149,439 whose bibliographies we read) · 508 with a page here, the most cited first · page 6 of 6 · 501–508 · [← Alexandra Sasha Luccioni](https://md.research.elamur.ai/free/en/authors/alexandra-sasha-luccioni/)

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

501. **[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*
502. **[WebCoderBench: Benchmarking Web Application Generation with Comprehensive and Interpretable Evaluation Metrics](https://md.research.elamur.ai/free/en/papers/liu-2026-webcoderbench-benchmarking-web-application-generation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chenxu Liu, Yingjie Fu, Wei Yang, et al.*2026*
503. **[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*
504. **[Yeswa-Stories: A Three-Way Parallel Dataset of Female African Figures in Low-Web Data Languages](https://md.research.elamur.ai/free/en/papers/mamo-2026-yeswa-stories-three-way-parallel/) [Workshop on Gender-Inclusive Translation Technologies](https://md.research.elamur.ai/free/en/venues/gitt/)**Bethelhem Mamo, Hellina Nigatu*2026*
505. [**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/)
506. [**LLM Analysis of 150+ years of German Parliamentary Debates on Migration Reveals Shift from Post-War Solidarity to Anti-Solidarity in the Last Decade arXiv:2509.07274**Aida Kostikova, Ole Putz, Steffen Eger, et al.*2025*](https://md.research.elamur.ai/free/en/papers/kostikova-2025-llm-analysis-150-years-german/)
507. **[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*
508. **[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*

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