---
title: "Who cites Guillaume Wenzek — page 3"
description: "2,426 papers of the Elamur Research library cite the works of Guillaume Wenzek, found in their bibliographies · page 3 of 3 · 201–243; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/guillaume-wenzek/cited-by/page/3/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/guillaume-wenzek/cited-by/page/3/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Guillaume Wenzek](https://md.research.elamur.ai/free/en/authors/guillaume-wenzek/) / [cited by](https://md.research.elamur.ai/free/en/authors/guillaume-wenzek/cited-by/) / page 3

# Who cites Guillaume Wenzek

2,996 citations of their works from 2,426 papers of our library (of the 140,884 whose bibliographies we read) · 243 with a page here, the most cited first · page 3 of 3 · 201–243 · [← Guillaume Wenzek](https://md.research.elamur.ai/free/en/authors/guillaume-wenzek/)

[← prev](https://md.research.elamur.ai/free/en/authors/guillaume-wenzek/cited-by/page/2/) [1](https://md.research.elamur.ai/free/en/authors/guillaume-wenzek/cited-by/) [2](https://md.research.elamur.ai/free/en/authors/guillaume-wenzek/cited-by/page/2/) **3**

201. [**Are the LLMs Capable of Maintaining at Least the Language Genus?**Sandra Mitrović, David Kletz, Ljiljana Dolamic, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mitrovic-2026-are-llms-capable-maintaining-least/)
202. [**AssamLegalTrans: A Parallel Corpus, Benchmark and Analysis for English-Assamese Machine Translation of Legal Judgments**Telem Joyson Singh, Hemanta Baruah, Sanasam Ranbir Singh, et al.*2026*](https://md.research.elamur.ai/free/en/papers/singh-2026-assamlegaltrans-parallel-corpus-benchmark-analysis/)
203. [**Benchmarking Arabic — Russian Machine Translation: A Comparison of Fine-tuned NMT and Few-shot LLMs under Rich Morphology and Low Lexical Overlap**Mullosharaf K. Arabov*2026*](https://md.research.elamur.ai/free/en/papers/arabov-2026-benchmarking-arabic-russian-machine-translation/)
204. [**Bringing Mapudungun into the Modern MT Ecosystem: Morphology-Aware Tokenization for NLLB-200 Fine-Tuning**Isaac Thompson, Brandon Rogers, Eric Ringger*2026*](https://md.research.elamur.ai/free/en/papers/thompson-2026-bringing-mapudungun-into-modern-mt/)
205. [**Context-Aware Dialectal Arabic Machine Translation with Interactive Region and Register Selection**Afroza Nowshin, Prithweeraj Acharjee Porag, Haziq Jeelani, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nowshin-2026-context-aware-dialectal-arabic-machine/)
206. [**Corpora Generation for Urdu Grammatical Error Correction**Syed Ahad, Burhanuddin Aliasghar Ezzi, Muhammad Arsalan Hussain, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ahad-2026-corpora-generation-urdu-grammatical-error/)
207. [**Data-Centric Approach at the LoResMT 2026 Turkic Translation Challenge: Russian-Kyrgyz**Dmitry Novokshanov*2026*](https://md.research.elamur.ai/free/en/papers/novokshanov-2026-data-centric-approach-loresmt-2026/)
208. [**DevLake at LoResMT 2026: The Impact of Pre-training and Model Scale on Russian-Bashkir Low-Resource Translation**Vyacheslav Tyurin*2026*](https://md.research.elamur.ai/free/en/papers/tyurin-2026-devlake-loresmt-2026-impact-pre/)
209. [**Diagnosing Translated Benchmarks: An Automated Quality Assurance Study of the EU20 Benchmark Suite**Klaudia Thellmann, Bernhard Stadler, Michael Färber*2026*](https://md.research.elamur.ai/free/en/papers/thellmann-2026-diagnosing-translated-benchmarks-automated-quality/)
210. [**Dialectal Filtering: Synthesizing Kurdish Corpora for Low-Resource Varieties by Utilizing “Noise” in Large Textual Data**Christian Schuler, Raman Ahmad, Ānrán Wáng, et al.*2026*](https://md.research.elamur.ai/free/en/papers/schuler-2026-dialectal-filtering-synthesizing-kurdish-corpora/)
211. [**E-CONAN (Entailment, CONtradition And Neutral) Benchmarks: Arabic Textual Entailment and Natural Inference Datasets**Khloud AL Jallad, Nada Ghneim, Ghaida Rebdawi*2026*](https://md.research.elamur.ai/free/en/papers/jallad-2026-e-conan-entailment-contradition-neutral-benchmarks/)
212. [**EIFFEL: a novel benchmark to measure bias of English heavy training on French idiomatic expressions**Charlotte Noel, Nicholas Asher, Olivier Gouvert, et al.*2026*](https://md.research.elamur.ai/free/en/papers/noel-2026-eiffel-novel-benchmark-measure-bias/)
213. [**English to Central Kurdish Speech Translation: Corpus Creation, Evaluation, and Orthographic Standardization**Mohammad Mohammadamini, Daban Jaff, Josep Crego, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mohammadamini-2026-english-central-kurdish-speech-translation/)
214. [**Ensemble Methods for Low-Resource Russian-Kyrgyz Machine Translation: When Diverse Models Beat Better Models**Adilet Metinov*2026*](https://md.research.elamur.ai/free/en/papers/metinov-2026-ensemble-methods-low-resource-russian/)
215. [**Evaluating Small Language Models for English-to-Portuguese Translation: Impact of Model Scale and Quantization**Gustavo Lopes Tamiosso, Rafael Oleques Nunes, Dennis Giovani Balreira*2026*](https://md.research.elamur.ai/free/en/papers/tamiosso-2026-evaluating-small-language-models-english/)
216. [**ForumOccitania: A Corpus of User-Generated Content for Multiple Occitan Varieties**Oriane Nédey, Juliette Janès, Rachel Bawden, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nedey-2026-forumoccitania-corpus-user-generated-content/)
217. [**HEBATRON: A Hebrew-Specialized Open-Weight Mixture-of-Experts Language Model**Noam Kayzer, Dan Revital, Ori Bar Joseph, et al.*2026*](https://md.research.elamur.ai/free/en/papers/kayzer-2026-hebatron-hebrew-specialized-open-weight/)
218. [**Hindsight Quality Prediction Experiments in Multi-Candidate Human-Post-Edited Machine Translation**Malik Marmonier, Benoît Sagot, Rachel Bawden*2026*](https://md.research.elamur.ai/free/en/papers/marmonier-2026-hindsight-quality-prediction-experiments-multi/)
219. [**Lost in Translation: Repurposing semantic similarity benchmarks for evaluating lexical-semantic consistency in LLM-based machine translation**Quin Ye, Jelke Bloem*2026*](https://md.research.elamur.ai/free/en/papers/ye-2026-lost-translation-repurposing-semantic-similarity/)
220. [**Machine translation Evaluation Eng-Thai MQM Ranking dataset**Phichet Phuangrot, Natdanai Trintawat, Kanawat Vilasri, et al.*2026*](https://md.research.elamur.ai/free/en/papers/phuangrot-2026-machine-translation-evaluation-eng-thai/)
221. [**MekongPhon: A Large-Scale Parallel IPA Corpus for Lao and Khmer**Ammon Shurtz, Christian Richardson, Stephen D. Richardson*2026*](https://md.research.elamur.ai/free/en/papers/shurtz-2026-mekongphon-large-scale-parallel-ipa/)
222. [**Merge and Conquer: Instructing Multilingual Models by Adding Target Language Weights**Eneko Valero, Maria Ribalta i Albado, Oscar Sainz, et al.*2026*](https://md.research.elamur.ai/free/en/papers/valero-2026-merge-conquer-instructing-multilingual-models/)
223. [**Mimicking Neural Machine Translation History for Pedagogic Reasons**Vincent Vandeghinste*2026*](https://md.research.elamur.ai/free/en/papers/vandeghinste-2026-mimicking-neural-machine-translation-history/)
224. [**Mind the Language Gap: Assessing LLM Safety in Italian**Elena Marafatto, Roberto Navigli*2026*](https://md.research.elamur.ai/free/en/papers/marafatto-2026-mind-language-gap-assessing-llm/)
225. [**MzansiText and MzansiLM: An Open Corpus and Decoder-Only Language Model for South African Languages**Anri M. Lombard, Simbarashe Mawere, Temi Aina, et al.*2026*](https://md.research.elamur.ai/free/en/papers/lombard-2026-mzansitext-mzansilm-open-corpus-decoder/)
226. [**On Temperature-Constrained Non-Deterministic Machine Translation: Potential and Evaluation**Weichuan Wang, Mingyang Liu, Chen Ma, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-temperature-constrained-non-deterministic-machine/)
227. [**OpenSubtitles2024: A Massively Parallel Dataset of Movie Subtitles for MT Development and Evaluation**Joerg Tiedemann, Hengyu Luo*2026*](https://md.research.elamur.ai/free/en/papers/tiedemann-2026-opensubtitles2024-massively-parallel-dataset-movie/)
228. [**Quality and Appropriateness of Large Text Datasets for Irish NLP**Abigail Walsh, Mark Andrade, Jane Lauren Adkins, et al.*2026*](https://md.research.elamur.ai/free/en/papers/walsh-2026-quality-appropriateness-large-text-datasets/)
229. [**Santham: A Curated Sanskrit–Tamil Dataset with Anvaya and Segmentation for Building and Evaluating Machine Translation**Prasanna Venkatesh T S, Ketaki Mangesh Shetye, Vishnuraj Arjunasamy, et al.*2026*](https://md.research.elamur.ai/free/en/papers/s-2026-santham-curated-sanskrit-tamil-dataset/)
230. [**Script Correction and Synthetic Pivoting: Adapting Tencent HY-MT for Low-Resource Turkic Translation**Bolgov Maxim*2026*](https://md.research.elamur.ai/free/en/papers/maxim-2026-script-correction-synthetic-pivoting-adapting/)
231. [**SemiAdapt: Semi-Supervised and Efficient LoRA-Based Domain Adaptation for Low-Resource Irish Machine Translation with Transformers**Josh Mcgiff, Nikola S. Nikolov*2026*](https://md.research.elamur.ai/free/en/papers/mcgiff-2026-semiadapt-semi-supervised-efficient-lora/)
232. [**Sentiment Analysis and Language Models for Kwanyama**Ndapa Nakashole*2026*](https://md.research.elamur.ai/free/en/papers/nakashole-2026-sentiment-analysis-language-models-kwanyama/)
233. [**SiniticMTError: A Machine Translation Dataset with Error Annotations for Sinitic Languages**Hannah Liu, Junghyun Min, Annie En-Shiun Lee, et al.*2026*](https://md.research.elamur.ai/free/en/papers/liu-2026-siniticmterror-machine-translation-dataset-error/)
234. [**Southern Kurdish Speech Recognition Resources and Benchmarking**Mohammad Mohammadamini, Marie Tahon*2026*](https://md.research.elamur.ai/free/en/papers/mohammadamini-2026-southern-kurdish-speech-recognition-resources/)
235. [**Terminology-Aware Retrieval-Augmented Knowledge Distillation for Biomedical Neural Machine Translation**Maria Zafar, Souhail Bakkali, Rejwanul Haque*2026*](https://md.research.elamur.ai/free/en/papers/zafar-2026-terminology-aware-retrieval-augmented-knowledge/)
236. [**TG-ASR: Translation-Guided Learning with Parallel Gated Cross Attention for Low-Resource Automatic Speech Recognition**ChengYeh Yang, Chien-Chun Wang, Li-Wei Chen, et al.*2026*](https://md.research.elamur.ai/free/en/papers/yang-2026-tg-asr-translation-guided-learning/)
237. [**To Write or to Automate Linguistic Prompts, That Is the Question**Marina Sánchez-Torrón, Daria Akselrod, Jason Rauchwerk*2026*](https://md.research.elamur.ai/free/en/papers/torron-2026-write-or-automate-linguistic-prompts/)
238. [**Translation-CoT: A Human-Inspired Chain-of-Thought Framework for Multilingual LLM Translation**Tabia Tanzin Prama, Juniper L Lovato, Chris Danforth, et al.*2026*](https://md.research.elamur.ai/free/en/papers/prama-2026-translation-cot-human-inspired-chain/)
239. [**When the Gold Standard Isn't Necessarily Standard: Challenges of Evaluating the Translation of User-Generated Content**Lydia Nishimwe, Benoît Sagot, Rachel Bawden*2026*](https://md.research.elamur.ai/free/en/papers/nishimwe-2026-when-gold-standard-isn-t/)
240. [**Why do Large Language Models Fail in Low-resource Translation? Unraveling the Token Dynamics of Large Language Models for Machine Translation**Shenbin Qian, Yves Scherrer*2026*](https://md.research.elamur.ai/free/en/papers/qian-2026-why-do-large-language-models/)
241. [**Yeswa-Stories: A Three-Way Parallel Dataset of Female African Figures in Low-Web Data Languages**Bethelhem Mamo, Hellina Nigatu*2026*](https://md.research.elamur.ai/free/en/papers/mamo-2026-yeswa-stories-three-way-parallel/)
242. [**Semitic Root Encoding: Tokenization Based on the Templatic Morphology of Semitic Languages in NMT**Brendan T. Hatch, Stephen D. Richardson*2025*](https://md.research.elamur.ai/free/en/papers/hatch-2025-semitic-root-encoding-tokenization-based/)
243. [**NoLoR: An ASR-Based Framework for Expedited Endangered Language Documentation with Neo-Aramaic as a Case Study**Matthew Nazari*2024*](https://md.research.elamur.ai/free/en/papers/nazari-2024-nolor-asr-based-framework-expedited/)

[← prev](https://md.research.elamur.ai/free/en/authors/guillaume-wenzek/cited-by/page/2/) [1](https://md.research.elamur.ai/free/en/authors/guillaume-wenzek/cited-by/) [2](https://md.research.elamur.ai/free/en/authors/guillaume-wenzek/cited-by/page/2/) **3**

2,183 more citing papers of our library have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/authors/guillaume-wenzek/) — Guillaume Wenzek