---
title: "Who cites Unsupervised — page 4 — 4,133 citing papers"
description: "4,133 papers of the Elamur Research library cite «Unsupervised Cross-lingual Representation Learning at Scale», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/conneau-2020-unsupervised-cross-lingual-representation-learning/cited-by/page/4/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/conneau-2020-unsupervised-cross-lingual-representation-learning/cited-by/page/4/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Unsupervised Cross-lingual Representation…](https://md.research.elamur.ai/free/en/papers/conneau-2020-unsupervised-cross-lingual-representation-learning/) / [cited by](https://md.research.elamur.ai/free/en/papers/conneau-2020-unsupervised-cross-lingual-representation-learning/cited-by/) / page 4

# Who cites «Unsupervised Cross-lingual Representation Learning at Scale»

4,133 papers of our library cite it (of the 149,439 whose bibliographies we read) · 689 with a page here, the most cited first · page 4 of 7 · 301–400 · [← back to «Unsupervised Cross-lingual Representation Learning at Scale»](https://md.research.elamur.ai/free/en/papers/conneau-2020-unsupervised-cross-lingual-representation-learning/)

[← prev](https://md.research.elamur.ai/free/en/papers/conneau-2020-unsupervised-cross-lingual-representation-learning/cited-by/page/3/) [1](https://md.research.elamur.ai/free/en/papers/conneau-2020-unsupervised-cross-lingual-representation-learning/cited-by/) [2](https://md.research.elamur.ai/free/en/papers/conneau-2020-unsupervised-cross-lingual-representation-learning/cited-by/page/2/) [3](https://md.research.elamur.ai/free/en/papers/conneau-2020-unsupervised-cross-lingual-representation-learning/cited-by/page/3/) **4** [5](https://md.research.elamur.ai/free/en/papers/conneau-2020-unsupervised-cross-lingual-representation-learning/cited-by/page/5/) [6](https://md.research.elamur.ai/free/en/papers/conneau-2020-unsupervised-cross-lingual-representation-learning/cited-by/page/6/) [7](https://md.research.elamur.ai/free/en/papers/conneau-2020-unsupervised-cross-lingual-representation-learning/cited-by/page/7/) [next →](https://md.research.elamur.ai/free/en/papers/conneau-2020-unsupervised-cross-lingual-representation-learning/cited-by/page/5/)

301. **[Analyzing and Adapting Large Language Models for Few-Shot Multilingual NLU: Are We There Yet?](https://md.research.elamur.ai/free/en/papers/razumovskaia-2025-analyzing-adapting-large-language-models/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Evgeniia Razumovskaia, Ivan Vulić, Anna Korhonen*2025 · 15 citations*
302. **[MIRAGE-Bench: Automatic Multilingual Benchmark Arena for Retrieval-Augmented Generation Systems](https://md.research.elamur.ai/free/en/papers/thakur-2025-mirage-bench-automatic-multilingual-benchmark/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Nandan Thakur, Suleman Kazi, Ge Luo, et al.*2025 · 15 citations*
303. **[On The Origin of Cultural Biases in Language Models: From Pre-training Data to Linguistic Phenomena](https://md.research.elamur.ai/free/en/papers/naous-2025-origin-cultural-biases-language-models/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Tarek Naous, Wei Xu*2025 · 15 citations*
304. **[Scaling Low-Resource MT via Synthetic Data Generation with LLMs](https://md.research.elamur.ai/free/en/papers/gibert-2025-scaling-low-resource-mt-synthetic/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ona de Gibert, Joseph Attieh, Teemu Vahtola, et al.*2025 · 15 citations*
305. **[URIEL+: Enhancing Linguistic Inclusion and Usability in a Typological and Multilingual Knowledge Base](https://md.research.elamur.ai/free/en/papers/khan-2025-uriel-enhancing-linguistic-inclusion-usability/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Aditya Khan, Mason Shipton, David Anugraha, et al.*2025 · 15 citations*
306. [**Beyond Correlation: Interpretable Evaluation of Machine Translation Metrics**Stefano Perrella, Lorenzo Proietti, Pere-Lluís Huguet Cabot, et al.*2024 · 15 citations*](https://md.research.elamur.ai/free/en/papers/perrella-2024-beyond-correlation-interpretable-evaluation-machine/)
307. **[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*
308. [**SaudiBERT: A Large Language Model Pretrained on Saudi Dialect Corpora arXiv:2405.06239**Faisal Qarah*2024 · 14 citations*](https://md.research.elamur.ai/free/en/papers/qarah-2024-saudibert-large-language-model-pretrained/)
309. [**TaCo: Enhancing Cross-Lingual Transfer for Low-Resource Languages in LLMs through Translation-Assisted Chain-of-Thought Processes arXiv:2311.10797**Bibek Upadhayay, Vahid Behzadan*2023 · 14 citations*](https://md.research.elamur.ai/free/en/papers/upadhayay-2023-taco-enhancing-cross-lingual-transfer/)
310. **[An Annotated Corpus of Arabic Tweets for Hate Speech Analysis](https://md.research.elamur.ai/free/en/papers/zaghouani-2025-annotated-corpus-arabic-tweets-hate/) [Recent Advances in Natural Language Processing (RANLP)](https://md.research.elamur.ai/free/en/venues/ranlp/)**Wajdi Zaghouani, Md. Rafiul Biswas*2025 · 13 citations*
311. **[SSA-COMET: Do LLMs Outperform Learned Metrics in Evaluating MT for Under-Resourced African Languages?](https://md.research.elamur.ai/free/en/papers/li-2025-ssa-comet-do-llms-outperform/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Senyu Li, Jiayi Wang, Felermino D. M. A. Ali, et al.*2025 · 13 citations*
312. **[Ar-Spider: Text-to-SQL in Arabic](https://md.research.elamur.ai/free/en/papers/almohaimeed-2024-ar-spider-text-sql-arabic/) [ACM/SIGAPP Symposium on Applied Computing (SAC)](https://md.research.elamur.ai/free/en/venues/acm-sigapp-symposium-on-applied-computing-sac/)**Saleh Almohaimeed, Saad Almohaimeed, Mansour Al Ghanim, et al.*2024 · 13 citations*
313. **[DiscoFlan: Instruction Fine-tuning and Refined Text Generation for Discourse Relation Label Classification](https://md.research.elamur.ai/free/en/papers/anuranjana-2023-discoflan-instruction-fine-tuning-refined/) [Shared Task on Discourse Relation Parsing and Treebanking](https://md.research.elamur.ai/free/en/venues/disrpt/)**Kaveri Anuranjana*2023 · 13 citations*
314. **[Task-Agnostic Low-Rank Adapters for Unseen English Dialects](https://md.research.elamur.ai/free/en/papers/xiao-2023-task-agnostic-low-rank-adapters/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zedian Xiao, William Held, Yanchen Liu, et al.*2023 · 13 citations*
315. **[A Weak Supervised Transfer Learning Approach for Sentiment Analysis to the Kuwaiti Dialect](https://md.research.elamur.ai/free/en/papers/husain-2022-weak-supervised-transfer-learning-approach/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Fatemah Husain, Hana Al-Ostad, Halima Omar*2022 · 13 citations*
316. **[Sarcasm Detection is Way Too Easy! An Empirical Comparison of Human and Machine Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/farha-2022-sarcasm-detection-is-way-too/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ibrahim Abu Farha, Steven Wilson, Silviu Oprea, et al.*2022 · 13 citations*
317. **[Parity-Aware Byte-Pair Encoding: Improving Cross-lingual Fairness in Tokenization](https://md.research.elamur.ai/free/en/papers/foroutan-2026-parity-aware-byte-pair-encoding/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Negar Foroutan, Clara Meister, Debjit Paul, et al.*2026 · 12 citations*
318. **[How Transliterations Improve Crosslingual Alignment](https://md.research.elamur.ai/free/en/papers/liu-2025-how-transliterations-improve-crosslingual-alignment/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Yihong Liu, Mingyang Wang, Amir Hossein Kargaran, et al.*2025 · 12 citations*
319. **[Why do LLaVA Vision-Language Models Reply to Images in English?](https://md.research.elamur.ai/free/en/papers/hinck-2024-why-do-llava-vision-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Musashi Hinck, Carolin Holtermann, Matthew Lyle Olson, et al.*2024 · 12 citations*
320. **[GeezSwitch: Language Identification in Typologically Related Low-resourced East African Languages](https://md.research.elamur.ai/free/en/papers/gaim-2022-geezswitch-language-identification-typologically-related/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Fitsum Gaim, Wonsuk Yang, Jong C. Park*2022 · 12 citations*
321. **[A Principled Framework for Evaluating on Typologically Diverse Languages](https://md.research.elamur.ai/free/en/papers/ploeger-2026-principled-framework-evaluating-typologically-diverse/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Esther Ploeger, Wessel Poelman, Andreas Holck Høeg-Petersen, et al.*2026 · 11 citations*
322. [**Fanar 2.0: Arabic Generative AI Stack arXiv:2603.16397**FANAR TEAM, Ummar Abbas, Mohammad Shahmeer Ahmad, et al.*2026 · 11 citations*](https://md.research.elamur.ai/free/en/papers/team-2026-fanar-2-0-arabic-generative/)
323. **[Think Natively: Unlocking Multilingual Reasoning with Consistency-Enhanced Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/zhang-2026-think-natively-unlocking-multilingual-reasoning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xue Zhang, Yunlong Liang, Fandong Meng, et al.*2026 · 11 citations*
324. **[A Rigorous Evaluation of LLM Data Generation Strategies for Low-Resource Languages](https://md.research.elamur.ai/free/en/papers/anikina-2025-rigorous-evaluation-llm-data-generation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Tatiana Anikina, Jan Cegin, Jakub Simko, et al.*2025 · 11 citations*
325. **[DiBiMT: A Gold Evaluation Benchmark for Studying Lexical Ambiguity in Machine Translation](https://md.research.elamur.ai/free/en/papers/martelli-2025-dibimt-gold-evaluation-benchmark-studying/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Federico Martelli, Stefano Perrella, Niccolò Campolungo, et al.*2025 · 11 citations*
326. **[Retrofitting Large Language Models with Dynamic Tokenization](https://md.research.elamur.ai/free/en/papers/feher-2025-retrofitting-large-language-models-dynamic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Darius Feher, Ivan Vulić, Benjamin Minixhofer*2025 · 11 citations*
327. **[Minanto at SemEval-2023 Task 2: Fine-tuning XLM-RoBERTa for Named Entity Recognition on English Data](https://md.research.elamur.ai/free/en/papers/hofer-2023-minanto-semeval-2023-task-2/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Antonia Höfer, Mina Mottahedin*2023 · 11 citations*
328. **[Multilingual Coreference Resolution in Multiparty Dialogue](https://md.research.elamur.ai/free/en/papers/zheng-2023-multilingual-coreference-resolution-multiparty-dialogue/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Boyuan Zheng, Patrick Xia, Mahsa Yarmohammadi, et al.*2023 · 11 citations*
329. [**Offensive Hebrew Corpus and Detection using BERT**Nagham Hamad, Mustafa Jarrar, Mohammad Khalilia, et al.*2023 · 11 citations*](https://md.research.elamur.ai/free/en/papers/hamad-2023-offensive-hebrew-corpus-detection-using/)
330. **[CS-UM6P at SemEval-2022 Task 6: Transformer-based Models for Intended Sarcasm Detection in English and Arabic](https://md.research.elamur.ai/free/en/papers/mahdaouy-2022-cs-um6p-semeval-2022-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Abdelkader El Mahdaouy, Abdellah El Mekki, Kabil Essefar, et al.*2022 · 11 citations*
331. **[Weakly and Semi-Supervised Learning for Arabic Text Classification using Monodialectal Language Models](https://md.research.elamur.ai/free/en/papers/alyami-2022-weakly-semi-supervised-learning-arabic/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Reem AlYami, Rabah Al-Zaidy*2022 · 11 citations*
332. [**Findings of the Fourth Shared Task on Multilingual Coreference Resolution: Can LLMs Dethrone Traditional Approaches?**Michal Novák, Miloslav Konopik, Anna Nedoluzhko, et al.*2025 · 10 citations*](https://md.research.elamur.ai/free/en/papers/novak-2025-findings-fourth-shared-task-multilingual/)
333. **[TransMI: A Framework to Create Strong Baselines from Multilingual Pretrained Language Models for Transliterated Data](https://md.research.elamur.ai/free/en/papers/liu-2025-transmi-framework-create-strong-baselines/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Yihong Liu, Chunlan Ma, Haotian Ye, et al.*2025 · 10 citations*
334. **[AlclaM: Arabic Dialect Language Model](https://md.research.elamur.ai/free/en/papers/ahmed-2024-alclam-arabic-dialect-language-model/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Murtadha Ahmed, Saghir Alfasly, Bo Wen, et al.*2024 · 10 citations*
335. **[Overview of the Hate Speech Detection in Turkish and Arabic Tweets (HSD-2Lang) Shared Task at CASE 2024](https://md.research.elamur.ai/free/en/papers/uludogan-2024-overview-hate-speech-detection-turkish/) [Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text](https://md.research.elamur.ai/free/en/venues/case/)**Gökçe Uludoğan, Somaiyeh Dehghan, Inanc Arin, et al.*2024 · 10 citations*
336. **[Overview of PragTag-2023: Low-Resource Multi-Domain Pragmatic Tagging of Peer Reviews](https://md.research.elamur.ai/free/en/papers/dycke-2023-overview-pragtag-2023-low-resource/) [Workshop on Argument Mining](https://md.research.elamur.ai/free/en/venues/argmining/)**Nils Dycke, Ilia Kuznetsov, Iryna Gurevych*2023 · 10 citations*
337. **[Speaker-Aware Discourse Parsing on Multi-Party Dialogues](https://md.research.elamur.ai/free/en/papers/yu-2022-speaker-aware-discourse-parsing-multi/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Nan Yu, Guohong Fu, Min Zhang*2022 · 10 citations*
338. **[Cascading Adaptors to Leverage English Data to Improve Performance of Question Answering for Low-Resource Languages](https://md.research.elamur.ai/free/en/papers/pandya-2021-cascading-adaptors-leverage-english-data/) [International Conference on Natural Language Processing (ICON)](https://md.research.elamur.ai/free/en/venues/icon/)**Hariom Pandya, Bhavik Ardeshna, Brijesh Bhatt*2021 · 10 citations*
339. **[Findings of the BEA 2026 Shared Task on Vocabulary Difficulty Prediction for English Learners](https://md.research.elamur.ai/free/en/papers/felice-2026-findings-bea-2026-shared-task/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Mariano Felice, Lucy Skidmore*2026 · 9 citations*
340. **[Centurio: On Drivers of Multilingual Ability of Large Vision-Language Model](https://md.research.elamur.ai/free/en/papers/geigle-2025-centurio-drivers-multilingual-ability-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Gregor Geigle, Florian Schneider, Carolin Holtermann, et al.*2025 · 9 citations*
341. **[TESS 2: A Large-Scale Generalist Diffusion Language Model](https://md.research.elamur.ai/free/en/papers/tae-2025-tess-2-large-scale-generalist/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jaesung Tae, Hamish Ivison, Sachin Kumar, et al.*2025 · 9 citations*
342. **[From Human Judgements to Predictive Models: Unravelling Acceptability in Code-Mixed Sentences](https://md.research.elamur.ai/free/en/papers/kodali-2024-human-judgements-predictive-models-unravelling/) [ACM Transactions on Asian and Low-Resource Language Information Processing](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-asian-and-low-resource-language-information-processing/)**Prashant Kodali, Anmol Goel, Likhith Asapu, et al.*2024 · 9 citations*
343. **[Exploring the Impact of Transliteration on NLP Performance: Treating Maltese as an Arabic Dialect](https://md.research.elamur.ai/free/en/papers/micallef-2023-exploring-impact-transliteration-nlp-performance/) [Workshop on Computation and Written Language @ LREC](https://md.research.elamur.ai/free/en/venues/cawl/)**Kurt Micallef, Fadhl Eryani, Nizar Habash, et al.*2023 · 9 citations*
344. **[PECO: Examining Single Sentence Label Leakage in Natural Language Inference Datasets through Progressive Evaluation of Cluster Outliers](https://md.research.elamur.ai/free/en/papers/saxon-2023-peco-examining-single-sentence-label/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Michael Saxon, Xinyi Wang, Wenda Xu, et al.*2023 · 9 citations*
345. [**Transferring Monolingual Model to Low-Resource Language: The Case of Tigrinya arXiv:2006.07698**Abrhalei Tela; Abraham Woubie;, Ville Hautamaki*2020 · 9 citations*](https://md.research.elamur.ai/free/en/papers/tela-2020-transferring-monolingual-model-low-resource/)
346. **[Culturally-Nuanced Story Generation for Reasoning in Low-Resource Languages: The Case of Javanese and Sundanese](https://md.research.elamur.ai/free/en/papers/pranida-2025-culturally-nuanced-story-generation-reasoning/) [Workshop on Multilingual Representation Learning](https://md.research.elamur.ai/free/en/venues/mrl/)**Salsabila Zahirah Pranida, Rifo Ahmad Genadi, Fajri Koto*2025 · 8 citations*
347. **[Bilingual Rhetorical Structure Parsing with Large Parallel Annotations](https://md.research.elamur.ai/free/en/papers/chistova-2024-bilingual-rhetorical-structure-parsing-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Elena Chistova*2024 · 8 citations*
348. **[Low Resource Question Answering: An Amharic Benchmarking Dataset](https://md.research.elamur.ai/free/en/papers/taffa-2024-low-resource-question-answering-amharic/) [Resources for African Indigenous Languages (RAIL) @ LREC](https://md.research.elamur.ai/free/en/venues/rail/)**Tilahun Abedissa Taffa, Ricardo Usbeck, Yaregal Assabie*2024 · 8 citations*
349. **[MSCAW-coref: Multilingual, Singleton and Conjunction-Aware Word-Level Coreference Resolution](https://md.research.elamur.ai/free/en/papers/liu-2024-mscaw-coref-multilingual-singleton-conjunction/) [Workshop on Computational Models of Reference, Anaphora and Coreference (CRAC)](https://md.research.elamur.ai/free/en/venues/crac/)**Houjun Liu, John Bauer, Karel D'Oosterlinck, et al.*2024 · 8 citations*
350. **[Bridging the Resource Gap: Exploring the Efficacy of English and Multilingual LLMs for Swedish](https://md.research.elamur.ai/free/en/papers/holmstrom-2023-bridging-resource-gap-exploring-efficacy/) [Workshop on the Role of Resources in the Age of Large Language Models](https://md.research.elamur.ai/free/en/venues/resourceful/)**Oskar Holmström, Jenny Kunz, Marco Kuhlmann*2023 · 8 citations*
351. **[What's Hard in English RST Parsing? Predictive Models for Error Analysis](https://md.research.elamur.ai/free/en/papers/liu-2023-what-s-hard-english-rst/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Yang Janet Liu, Tatsuya Aoyama, Amir Zeldes*2023 · 8 citations*
352. **[Cross-lingual transfer for low-resource Arabic language understanding](https://md.research.elamur.ai/free/en/papers/abboud-2022-cross-lingual-transfer-low-resource/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Khadige Abboud, Olga Golovneva, Christopher DiPersio*2022 · 8 citations*
353. **[Post-hoc analysis of Arabic transformer models](https://md.research.elamur.ai/free/en/papers/abdelali-2022-post-hoc-analysis-arabic-transformer/) [BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP](https://md.research.elamur.ai/free/en/venues/blackboxnlp/)**Ahmed Abdelali, Nadir Durrani, Fahim Dalvi, et al.*2022 · 8 citations*
354. [**SemEval-2022 Task 3: PreTENS — Evaluating Neural Networks on Presuppositional Semantic Knowledge**Roberto Zamparelli, Shammur Chowdhury, Dominique Brunato, et al.*2022 · 8 citations*](https://md.research.elamur.ai/free/en/papers/zamparelli-2022-semeval-2022-task-3-pretens/)
355. **[ArabicTransformer: Efficient Large Arabic Language Model with Funnel Transformer and ELECTRA Objective](https://md.research.elamur.ai/free/en/papers/alrowili-2021-arabictransformer-efficient-large-arabic-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sultan Alrowili, K. Vijay-Shanker*2021 · 8 citations*
356. **[Fine-tuning Large Language Models with Limited Data: A Survey and Practical Guide](https://md.research.elamur.ai/free/en/papers/szep-2026-fine-tuning-large-language-models/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Marton Szep, Daniel Rueckert, Rüdiger von Eisenhart-Rothe, et al.*2026 · 7 citations*
357. **[New Encoders for German Trained from Scratch: Comparing ModernGBERT with Converted LLM2Vec Models](https://md.research.elamur.ai/free/en/papers/wunderle-2026-new-encoders-german-trained-scratch/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Julia Wunderle, Anton Ehrmanntraut, Jan Pfister, et al.*2026 · 7 citations*
358. **[CUTE: A Multilingual Dataset for Enhancing Cross-Lingual Knowledge Transfer in Low-Resource Languages](https://md.research.elamur.ai/free/en/papers/zhuang-2025-cute-multilingual-dataset-enhancing-cross/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Wenhao Zhuang, Yuan Sun*2025 · 7 citations*
359. [**GUM-SAGE: A Novel Dataset and Approach for Graded Entity Salience Prediction**Jessica Lin, Amir Zeldes*2025 · 7 citations*](https://md.research.elamur.ai/free/en/papers/lin-2025-gum-sage-novel-dataset-approach/)
360. **[Language Adaptation of Large Language Models: An Empirical Study on LLaMA2](https://md.research.elamur.ai/free/en/papers/wang-2025-language-adaptation-large-language-models/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Shumin Wang, Yuexiang Xie, Bolin Ding, et al.*2025 · 7 citations*
361. [**The Arabic AI Fingerprint: Stylometric Analysis and Detection of Large Language Models Text arXiv:2505.23276**Maged S. Al-Shaibani, Moataz Ahmed*2025 · 7 citations*](https://md.research.elamur.ai/free/en/papers/al-shaibani-2025-arabic-ai-fingerprint-stylometric-analysis/)
362. **[Cross-Lingual Transfer from Related Languages: Treating Low-Resource Maltese as Multilingual Code-Switching](https://md.research.elamur.ai/free/en/papers/micallef-2024-cross-lingual-transfer-related-languages/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Kurt Micallef, Nizar Habash, Claudia Borg, et al.*2024 · 7 citations*
363. **[Multilingual Coreference Resolution in Low-resource South Asian Languages](https://md.research.elamur.ai/free/en/papers/mishra-2024-multilingual-coreference-resolution-low-resource/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Ritwik Mishra, Pooja Desur, Rajiv Ratn Shah, et al.*2024 · 7 citations*
364. **[ThatiAR: Subjectivity Detection in Arabic News Sentences](https://md.research.elamur.ai/free/en/papers/suwaileh-2024-thatiar-subjectivity-detection-arabic-news/) [Proceedings of the International AAAI Conference on Web and Social Media](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-international-aaai-conference-on-web-and-social-media/)**Reem Suwaileh, Maram Hasanain, Fatema Hubail, et al.*2024 · 7 citations*
365. [**Explicit Morphological Knowledge Improves Pre-training of Language Models for Hebrew**Eylon Gueta, Omer Goldman, Reut Tsarfaty*2023 · 7 citations*](https://md.research.elamur.ai/free/en/papers/gueta-2023-explicit-morphological-knowledge-improves-pre/)
366. **[Rosetta Stone at KSAA-RD Shared Task: A Hop From Language Modeling To Word–Definition Alignment](https://md.research.elamur.ai/free/en/papers/elbakry-2023-rosetta-stone-ksaa-rd-shared/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Ahmed Elbakry, Mohamed Gabr, Muhammad ElNokrashy, et al.*2023 · 7 citations*
367. **[A Semi-supervised Approach for a Better Translation of Sentiment in Dialectical Arabic UGT](https://md.research.elamur.ai/free/en/papers/saadany-2022-semi-supervised-approach-better-translation/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Hadeel Saadany, Constantin Orăsan, Emad Mohamed, et al.*2022 · 7 citations*
368. **[NARC – Norwegian Anaphora Resolution Corpus](https://md.research.elamur.ai/free/en/papers/maehlum-2022-narc-norwegian-anaphora-resolution-corpus/) [Workshop on Computational Models of Reference, Anaphora and Coreference (CRAC)](https://md.research.elamur.ai/free/en/venues/crac/)**Petter Mæhlum, Dag Haug, Tollef Jørgensen, et al.*2022 · 7 citations*
369. **[Arabic Named Entity Recognition Using Transformer-based-CRF Model](https://md.research.elamur.ai/free/en/papers/qurishi-2021-arabic-named-entity-recognition-transformer/) [International Conference on Natural Language and Speech Processing](https://md.research.elamur.ai/free/en/venues/icnlsp/)**Muhammad Saleh Al-Qurishi, Riad Souissi*2021 · 7 citations*
370. [**Findings of the Fifth Shared Task on Multilingual Coreference Resolution: Expanding Datasets for Long-Range Entities**Michal Novák, Miloslav Konopík, Anna Nedoluzhko, et al.*2026 · 6 citations*](https://md.research.elamur.ai/free/en/papers/novak-2026-findings-fifth-shared-task-multilingual/)
371. **[How Good is Your Wikipedia? Auditing Data Quality for Low-resource and Multilingual NLP](https://md.research.elamur.ai/free/en/papers/tatariya-2026-how-good-is-your-wikipedia/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kushal Tatariya, Artur Kulmizev, Wessel Poelman, et al.*2026 · 6 citations*
372. **[Lost in the Mix: Evaluating LLM Understanding of Code-Switched Text](https://md.research.elamur.ai/free/en/papers/mohamed-2026-lost-mix-evaluating-llm-understanding/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Amr Mohamed, Yang Zhang, Michalis Vazirgiannis, et al.*2026 · 6 citations*
373. **[The LSCD Benchmark: a Testbed for Diachronic Word Meaning Tasks](https://md.research.elamur.ai/free/en/papers/schlechtweg-2026-lscd-benchmark-testbed-diachronic-word/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Dominik Schlechtweg, Sachin Yadav, Jonas Kuhn, et al.*2026 · 6 citations*
374. **[Minimal Pair-Based Evaluation of Code-Switching](https://md.research.elamur.ai/free/en/papers/sterner-2025-minimal-pair-based-evaluation-code/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Igor Sterner, Simone Teufel*2025 · 6 citations*
375. [**Ensemble Language Models for Multilingual Sentiment Analysis arXiv:2403.06060**Md Arid Hasan*2024 · 6 citations*](https://md.research.elamur.ai/free/en/papers/hasan-2024-ensemble-language-models-multilingual-sentiment/)
376. **[Leveraging Domain Adaptation and Data Augmentation to Improve Qur'anic IR in English and Arabic](https://md.research.elamur.ai/free/en/papers/pavlova-2023-leveraging-domain-adaptation-data-augmentation/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Vera Pavlova*2023 · 6 citations*
377. [**Transformers and Ensemble methods: A solution for Hate Speech Detection in Arabic languages arXiv:2303.09823 · Revue de l Information Scientifique et Technique, vol. 27, no. 2, pp. 7-12, November 2023**Angel Felipe Magnossao de Paula, Imene Bensalem, Paolo Rosso, et al.*2023 · 6 citations*](https://md.research.elamur.ai/free/en/papers/paula-2023-transformers-ensemble-methods-solution-hate/)
378. **[AraProp at WANLP 2022 Shared Task: Leveraging Pre-Trained Language Models for Arabic Propaganda Detection](https://md.research.elamur.ai/free/en/papers/singh-2022-araprop-wanlp-2022-shared-task/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Gaurav Singh*2022 · 6 citations*
379. **[Challenging the Transformer-based models with a Classical Arabic dataset: Quran and Hadith](https://md.research.elamur.ai/free/en/papers/altammami-2022-challenging-transformer-based-models-classical/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Shatha Altammami, Eric Atwell*2022 · 6 citations*
380. **[NGU CNLP atWANLP 2022 Shared Task: Propaganda Detection in Arabic](https://md.research.elamur.ai/free/en/papers/hussein-2022-ngu-cnlp-atwanlp-2022-shared/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Ahmed Samir Hussein, Abu Bakr Soliman Mohammad, Mohamed Ibrahim, et al.*2022 · 6 citations*
381. **[NULL at SemEval-2022 Task 6: Intended Sarcasm Detection Using Stylistically Fused Contextualized Representation and Deep Learning](https://md.research.elamur.ai/free/en/papers/rahgouy-2022-null-semeval-2022-task-6/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Mostafa Rahgouy, Hamed Babaei Giglou, Taher Rahgooy, et al.*2022 · 6 citations*
382. **[Hala Technical Report Building Arabic-Centric Instruction & Translation Models at Scale](https://md.research.elamur.ai/free/en/papers/hammoud-2026-hala-technical-report-building-arabic/) [Workshop on NLP for Languages Using Arabic Script](https://md.research.elamur.ai/free/en/venues/abjadnlp/)**Hasan Abed Al Kader Hammoud, Mohamad Bilal Zbib, Bernard Ghanem*2026 · 5 citations*
383. **[Paramanu: Compact and Competitive Monolingual Language Models for Low-Resource Morphologically Rich Indian Languages](https://md.research.elamur.ai/free/en/papers/niyogi-2026-paramanu-compact-competitive-monolingual-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mitodru Niyogi, Eric Gaussier, Arnab Bhattacharya*2026 · 5 citations*
384. [**Comparative Approaches to Sentiment Analysis Using Datasets in Major European and Arabic Languages arXiv:2501.12540**Mikhail Krasitskii; Olga Kolesnikova; Liliana Chanona Hernandez; Grigori Sidorov;, Alexander Gelbukh*2024 · 5 citations*](https://md.research.elamur.ai/free/en/papers/krasitskii-2025-comparative-approaches-sentiment-analysis-using/)
385. [**DarijaBanking: A New Resource for Overcoming Language Barriers in Banking Intent Detection for Moroccan Arabic Speakers arXiv:2405.16482**Abderrahman Skiredj, Ferdaous Azhari, Ismail Berrada, et al.*2024 · 5 citations*](https://md.research.elamur.ai/free/en/papers/skiredj-2024-darijabanking-new-resource-overcoming-language/)
386. **[Question Answering Classification for Amharic Social Media Community Based Questions](https://md.research.elamur.ai/free/en/papers/belay-2022-question-answering-classification-amharic-social/) [SIGUL Joint Workshop with ELE, EURALI, and DCLRL: Towards Inclusivity and Equality: Language Resources and Technologies for Under-Resourced and Endangered Languages](https://md.research.elamur.ai/free/en/venues/sigul/)**Tadesse Destaw Belay, Seid Muhie Yimam, Abinew Ayele, et al.*2022 · 5 citations*
387. [**Stanceosaurus: Classifying Stance Towards Multilingual Misinformation arXiv:2210.15954**Jonathan Zheng; Ashutosh Baheti; Tarek Naous; Wei Xu;, Alan Ritter*2022 · 5 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2022-stanceosaurus-classifying-stance-towards-multilingual/)
388. **[UPV at the Arabic Hate Speech 2022 Shared Task: Offensive Language and Hate Speech Detection using Transformers and Ensemble Models](https://md.research.elamur.ai/free/en/papers/paula-2022-upv-arabic-hate-speech-2022/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Angel Felipe Magnossão de Paula, Paolo Rosso, Imene Bensalem, et al.*2022 · 5 citations*
389. **[DeepBlueAI at WANLP-EACL2021 task 2: A Deep Ensemble-based Method for Sarcasm and Sentiment Detection in Arabic](https://md.research.elamur.ai/free/en/papers/song-2021-deepblueai-wanlp-eacl2021-task-2/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Bingyan Song, Chunguang Pan, Shengguang Wang, et al.*2021 · 5 citations*
390. **[AfriMTEB and AfriE5: Benchmarking and Adapting Text Embedding Models for African Languages](https://md.research.elamur.ai/free/en/papers/uemura-2026-afrimteb-afrie5-benchmarking-adapting-text/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Kosei Uemura, Miaoran Zhang, David Ifeoluwa Adelani*2026 · 4 citations*
391. [**Do Diacritics Matter? Evaluating the Impact of Arabic Diacritics on Tokenization and LLM Benchmarks**Go Inoue, Bashar Alhafni, Nizar Habash, et al.*2026 · 4 citations*](https://md.research.elamur.ai/free/en/papers/inoue-2026-do-diacritics-matter-evaluating-impact/)
392. **[MTEB-NL and E5-NL: Embedding Benchmark and Models for Dutch](https://md.research.elamur.ai/free/en/papers/banar-2026-mteb-nl-e5-nl-embedding/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Nikolay Banar, Ehsan Lotfi, Jens Van Nooten, et al.*2026 · 4 citations*
393. **[Standard-to-Dialect Transfer Trends Differ across Text and Speech: A Case Study on Intent and Topic Classification in German Dialects](https://md.research.elamur.ai/free/en/papers/blaschke-2026-standard-dialect-transfer-trends-differ/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Verena Blaschke, Miriam Winkler, Barbara Plank*2026 · 4 citations*
394. **[MultiCoPIE: A Multilingual Corpus of Potentially Idiomatic Expressions for Cross-lingual PIE Disambiguation](https://md.research.elamur.ai/free/en/papers/sentsova-2025-multicopie-multilingual-corpus-potentially-idiomatic/) [Workshop on Multiword Expressions (MWE)](https://md.research.elamur.ai/free/en/venues/mwe/)**Uliana Sentsova, Debora Ciminari, Josef van Genabith, et al.*2025 · 4 citations*
395. **[Optimized Text Embedding Models and Benchmarks for Amharic Passage Retrieval](https://md.research.elamur.ai/free/en/papers/mekonnen-2025-optimized-text-embedding-models-benchmarks/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kidist Amde Mekonnen, Yosef Worku Alemneh, Maarten de Rijke*2025 · 4 citations*
396. [**IAI Group at CheckThat! 2024: Transformer Models and Data Augmentation for Checkworthy Claim Detection arXiv:2408.01118**Peter R\oysland Aarnes, Vinay Setty, Petra Galuščakova*2024 · 4 citations*](https://md.research.elamur.ai/free/en/papers/aarnes-2024-iai-group-checkthat-2024-transformer/)
397. **[TIGQA: An Expert-Annotated Question-Answering Dataset in Tigrinya](https://md.research.elamur.ai/free/en/papers/teklehaymanot-2024-tigqa-expert-annotated-question-answering/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Hailay Kidu Teklehaymanot, Dren Fazlija, Niloy Ganguly, et al.*2024 · 4 citations*
398. **[Do “English” Named Entity Recognizers Work Well on Global Englishes?](https://md.research.elamur.ai/free/en/papers/shan-2023-do-english-named-entity-recognizers/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Alexander Shan, John Bauer, Riley Carlson, et al.*2023 · 4 citations*
399. **[Improving Cross-lingual Transfer through Subtree-aware Word Reordering](https://md.research.elamur.ai/free/en/papers/arviv-2023-improving-cross-lingual-transfer-through/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ofir Arviv, Dmitry Nikolaev, Taelin Karidi, et al.*2023 · 4 citations*
400. **[ReDASPersuasion at ArAIEval Shared Task: Multilingual and Monolingual Models For Arabic Persuasion Detection](https://md.research.elamur.ai/free/en/papers/qachfar-2023-redaspersuasion-araieval-shared-task-multilingual/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Fatima Zahra Qachfar, Rakesh Verma*2023 · 4 citations*

[← prev](https://md.research.elamur.ai/free/en/papers/conneau-2020-unsupervised-cross-lingual-representation-learning/cited-by/page/3/) [1](https://md.research.elamur.ai/free/en/papers/conneau-2020-unsupervised-cross-lingual-representation-learning/cited-by/) [2](https://md.research.elamur.ai/free/en/papers/conneau-2020-unsupervised-cross-lingual-representation-learning/cited-by/page/2/) [3](https://md.research.elamur.ai/free/en/papers/conneau-2020-unsupervised-cross-lingual-representation-learning/cited-by/page/3/) **4** [5](https://md.research.elamur.ai/free/en/papers/conneau-2020-unsupervised-cross-lingual-representation-learning/cited-by/page/5/) [6](https://md.research.elamur.ai/free/en/papers/conneau-2020-unsupervised-cross-lingual-representation-learning/cited-by/page/6/) [7](https://md.research.elamur.ai/free/en/papers/conneau-2020-unsupervised-cross-lingual-representation-learning/cited-by/page/7/) [next →](https://md.research.elamur.ai/free/en/papers/conneau-2020-unsupervised-cross-lingual-representation-learning/cited-by/page/5/)

- [← back to](https://md.research.elamur.ai/free/en/papers/conneau-2020-unsupervised-cross-lingual-representation-learning/) — Unsupervised Cross-lingual Representation Learning at Scale