---
title: "Who cites The State and Fate of Linguistic Diversity and…"
description: "758 papers of the Elamur Research library cite «The State and Fate of Linguistic Diversity and Inclusion in the NLP World», found in their…"
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---
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# Who cites «The State and Fate of Linguistic Diversity and Inclusion in the NLP World»

758 papers of our library cite it (of the 140,884 whose bibliographies we read) · 74 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/joshi-2020-state-fate-linguistic-diversity-inclusion/)

1. [**On the Opportunities and Risks of Foundation Models**Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.*2021 · 3,044 citations*](https://md.research.elamur.ai/free/en/papers/bommasani-2021-opportunities-risks-foundation-models/)
2. [**Language (Technology) is Power: A Critical Survey of “Bias” in NLP**Su Lin Blodgett, Solon Barocas, Hal Daumé III, et al.*2020 · 1,700 citations*](https://md.research.elamur.ai/free/en/papers/blodgett-2020-language-technology-is-power-critical/)
3. [**A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity**Yejin Bang, Samuel Cahyawijaya, Nayeon Lee, et al.*2023 · 866 citations*](https://md.research.elamur.ai/free/en/papers/bang-2023-multitask-multilingual-multimodal-evaluation-chatgpt/)
4. [**XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning**Edoardo Maria Ponti, Goran Glavaš, Olga Majewska, et al.*2020 · 465 citations*](https://md.research.elamur.ai/free/en/papers/ponti-2020-xcopa-multilingual-dataset-causal-commonsense/)
5. [**From Zero to Hero: On the Limitations of Zero-Shot Language Transfer with Multilingual Transformers**Anne Lauscher, Vinit Ravishankar, Ivan Vulić, et al.*2020 · 461 citations*](https://md.research.elamur.ai/free/en/papers/lauscher-2020-zero-hero-limitations-zero-shot/)
6. [**How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models**Phillip Rust, Jonas Pfeiffer, Ivan Vulić, et al.*2021 · 444 citations*](https://md.research.elamur.ai/free/en/papers/rust-2021-how-good-is-your-tokenizer/)
7. [**Ethical and social risks of harm from Language Models**Laura Weidinger, John Mellor, Maribeth Rauh, et al.*2021 · 421 citations*](https://md.research.elamur.ai/free/en/papers/weidinger-2021-ethical-social-risks-harm-language/)
8. [**A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios**Michael A. Hedderich, Lukas Lange, Heike Adel, et al.*2021 · 399 citations*](https://md.research.elamur.ai/free/en/papers/hedderich-2021-survey-recent-approaches-natural-language/)
9. [**Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages**Wilhelmina Nekoto, Vukosi Marivate, Tshinondiwa Matsila, et al.*2020 · 333 citations*](https://md.research.elamur.ai/free/en/papers/nekoto-2020-participatory-research-low-resourced-machine/)
10. [**BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Bangla**Abhik Bhattacharjee, Tahmid Hasan, Wasi Ahmad, et al.*2022 · 296 citations*](https://md.research.elamur.ai/free/en/papers/bhattacharjee-2022-banglabert-language-model-pretraining-benchmarks/)
11. [**Challenges and Strategies in Cross-Cultural NLP**Daniel Hershcovich, Stella Frank, Heather Lent, et al.*2022 · 290 citations*](https://md.research.elamur.ai/free/en/papers/hershcovich-2022-challenges-strategies-cross-cultural-nlp/)
12. [**MEGA: Multilingual Evaluation of Generative AI**Kabir Ahuja, Harshita Diddee, Rishav Hada, et al.*2023 · 281 citations*](https://md.research.elamur.ai/free/en/papers/ahuja-2023-mega-multilingual-evaluation-generative-ai/)
13. [**XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation**Sebastian Ruder, Noah Constant, Jan Botha, et al.*2021 · 277 citations*](https://md.research.elamur.ai/free/en/papers/ruder-2021-xtreme-r-more-challenging-nuanced/)
14. [**XLM-T: Multilingual Language Models in Twitter for Sentiment Analysis and Beyond**Francesco Barbieri, Luis Espinosa Anke, Jose Camacho-Collados*2022 · 271 citations*](https://md.research.elamur.ai/free/en/papers/barbieri-2022-xlm-t-multilingual-language-models/)
15. [**Towards Measuring the Representation of Subjective Global Opinions in Language Models**Esin Durmus, Karina Nguyen, Thomas I. Liao, et al.*2023 · 262 citations*](https://md.research.elamur.ai/free/en/papers/durmus-2023-towards-measuring-representation-subjective-global/)
16. [**Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model**Ahmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, et al.*2024 · 245 citations*](https://md.research.elamur.ai/free/en/papers/ustun-2024-aya-model-instruction-finetuned-open/)
17. [**The Importance of Modeling Social Factors of Language: Theory and Practice**Dirk Hovy, Diyi Yang*2021 · 234 citations*](https://md.research.elamur.ai/free/en/papers/hovy-2021-importance-modeling-social-factors-language/)
18. [**Systematic Inequalities in Language Technology Performance across the World's Languages**Damian Blasi, Antonios Anastasopoulos, Graham Neubig*2022 · 214 citations*](https://md.research.elamur.ai/free/en/papers/blasi-2022-systematic-inequalities-language-technology-performance/)
19. [**MADLAD-400: A Multilingual And Document-Level Large Audited Dataset**Sneha Kudugunta, Isaac Caswell, Biao Zhang, et al.*2023 · 211 citations*](https://md.research.elamur.ai/free/en/papers/kudugunta-2023-madlad-400-multilingual-document-level/)
20. [**Challenges in Detoxifying Language Models**Johannes Welbl, Amelia Glaese, Jonathan Uesato, et al.*2021 · 206 citations*](https://md.research.elamur.ai/free/en/papers/welbl-2021-challenges-detoxifying-language-models/)
21. [**Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning**Shivalika Singh, Freddie Vargus, Daniel D'souza, et al.*2024 · 202 citations*](https://md.research.elamur.ai/free/en/papers/singh-2024-aya-dataset-open-access-collection/)
22. [**IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages**Jay Gala, Pranjal A. Chitale, Raghavan AK, et al.*2023 · 200 citations*](https://md.research.elamur.ai/free/en/papers/gala-2023-indictrans2-towards-high-quality-accessible/)
23. [**When Being Unseen from mBERT is just the Beginning: Handling New Languages With Multilingual Language Models**Benjamin Muller, Antonios Anastasopoulos, Benoît Sagot, et al.*2021 · 189 citations*](https://md.research.elamur.ai/free/en/papers/muller-2021-when-being-unseen-mbert-is/)
24. [**Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation**Shivalika Singh, Angelika Romanou, Clémentine Fourrier, et al.*2025 · 179 citations*](https://md.research.elamur.ai/free/en/papers/singh-2025-global-mmlu-understanding-addressing-cultural/)
25. [**Towards Leaving No Indic Language Behind: Building Monolingual Corpora, Benchmark and Models for Indic Languages**Sumanth Doddapaneni, Rahul Aralikatte, Gowtham Ramesh, et al.*2023 · 174 citations*](https://md.research.elamur.ai/free/en/papers/doddapaneni-2023-leaving-no-indic-language-behind/)
26. [**Low-Resource Languages Jailbreak GPT-4**Zheng-Xin Yong, Cristina Menghini, Stephen H. Bach*2023 · 168 citations*](https://md.research.elamur.ai/free/en/papers/yong-2023-low-resource-languages-jailbreak-gpt/)
27. [**A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation**David Ifeoluwa Adelani, Jesujoba Oluwadara Alabi, Angela Fan, et al.*2022 · 155 citations*](https://md.research.elamur.ai/free/en/papers/adelani-2022-few-thousand-translations-go-long/)
28. [**MIRACL: A Multilingual Retrieval Dataset Covering 18 Diverse Languages**Xinyu Zhang, Nandan Thakur, Odunayo Ogundepo, et al.*2023 · 148 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-miracl-multilingual-retrieval-dataset-covering/)
29. [**BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages**Junho Myung, Nayeon Lee, Yi Zhou, et al.*2024 · 147 citations*](https://md.research.elamur.ai/free/en/papers/myung-2024-blend-benchmark-llms-everyday-knowledge/)
30. [**SIB-200: A Simple, Inclusive, and Big Evaluation Dataset for Topic Classification in 200+ Languages and Dialects**David Ifeoluwa Adelani, Hannah Liu, Xiaoyu Shen, et al.*2023 · 135 citations*](https://md.research.elamur.ai/free/en/papers/adelani-2023-sib-200-simple-inclusive-big/)
31. [**Learning Compact Metrics for MT**Amy Pu, Hyung Won Chung, Ankur Parikh, et al.*2021 · 130 citations*](https://md.research.elamur.ai/free/en/papers/pu-2021-learning-compact-metrics-mt/)
32. [**NaijaSenti: A Nigerian Twitter Sentiment Corpus for Multilingual Sentiment Analysis**Shamsuddeen Hassan Muhammad, David Ifeoluwa Adelani, Sebastian Ruder, et al.*2022 · 127 citations*](https://md.research.elamur.ai/free/en/papers/muhammad-2022-naijasenti-nigerian-twitter-sentiment-corpus/)
33. [**An Open Dataset and Model for Language Identification**Laurie Burchell, Alexandra Birch, Nikolay Bogoychev, et al.*2023 · 59 citations*](https://md.research.elamur.ai/free/en/papers/burchell-2023-open-dataset-model-language-identification/)
34. [**TyDiP: A Dataset for Politeness Classification in Nine Typologically Diverse Languages**Anirudh Srinivasan, Eunsol Choi*2022 · 29 citations*](https://md.research.elamur.ai/free/en/papers/srinivasan-2022-tydip-dataset-politeness-classification-nine/)
35. [**Comparative Study of Multilingual Idioms and Similes in Large Language Models**Paria Khoshtab, Danial Namazifard, Mostafa Masoudi, et al.*2025 · 14 citations*](https://md.research.elamur.ai/free/en/papers/khoshtab-2025-comparative-study-multilingual-idioms-similes/)
36. [**TigerCoder: A Novel Suite of LLMs for Code Generation in Bangla**Nishat Raihan, Antonios Anastasopoulos, Marcos Zampieri*2026 · 13 citations*](https://md.research.elamur.ai/free/en/papers/raihan-2026-tigercoder-novel-suite-llms-code/)
37. [**Edition 2.0 of the PARSEME shared task on multilingual identification and paraphrasing of multiword expressions**Manon Scholivet, Agata Savary, Carlos Ramisch, et al.*2026 · 9 citations*](https://md.research.elamur.ai/free/en/papers/scholivet-2026-edition-2-0-parseme-shared/)
38. [**Improving Cross-lingual Transfer through Subtree-aware Word Reordering**Ofir Arviv, Dmitry Nikolaev, Taelin Karidi, et al.*2023 · 4 citations*](https://md.research.elamur.ai/free/en/papers/arviv-2023-improving-cross-lingual-transfer-through/)
39. [**FreeTxt-Vi: A Benchmarked Vietnamese-English Toolkit for Segmentation, Sentiment, and Summarisation**Hung Huy Nguyen, Mo El-Haj, Paul Rayson, et al.*2026 · 3 citations*](https://md.research.elamur.ai/free/en/papers/nguyen-2026-freetxt-vi-benchmarked-vietnamese-english/)
40. [**PARSEME 2.0 Multilingual Corpus of Multiword Expressions**Agata Savary, Manon Scholivet, Carlos Ramisch, et al.*2026 · 3 citations*](https://md.research.elamur.ai/free/en/papers/savary-2026-parseme-2-0-multilingual-corpus/)
41. [**Natural Language Processing for Tigrinya: Current State and Future Directions**Fitsum Gaim, Jong C. Park*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/gaim-2025-natural-language-processing-tigrinya-current/)
42. [**MTQE.en-he: Machine Translation Quality Estimation for English-Hebrew**Andy Rosenbaum, Assaf Siani, Ilan Kernerman*2026 · 2 citations*](https://md.research.elamur.ai/free/en/papers/rosenbaum-2026-mtqe-en-he-machine-translation/)
43. [**UM IWSLT 2024 Low-Resource Speech Translation: Combining Maltese and North Levantine Arabic**Sara Nabhani, Aiden Williams, Miftahul Jannat, et al.*2024 · 2 citations*](https://md.research.elamur.ai/free/en/papers/nabhani-2024-um-iwslt-2024-low-resource/)
44. [**Referring Expressions with Rational Speech Act Framework: A Probabilistic Approach**Hieu Le, Taufiq Daryanto, Fabian Zhafransyah, et al.*2022 · 2 citations*](https://md.research.elamur.ai/free/en/papers/le-2022-referring-expressions-rational-speech-act/)
45. [**AlbanianLLMSafety: A Safety Evaluation Dataset for Large Language Models in Albanian**Wajdi Zaghouani, Kholoud Khalil Aldous, Isra Fejzullaj*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/zaghouani-2026-albanianllmsafety-safety-evaluation-dataset-large/)
46. [**Are LLMs Good Text Diacritizers? An Arabic and Yoruba Case Study**Hawau Olamide Toyin, Samar Mohamed Magdy, Hanan Aldarmaki*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/toyin-2026-are-llms-good-text-diacritizers/)
47. [**Benchmarking Multilingual LLM Translation Accuracy for Fuzhounese**Sue Zheng, Jelke Bloem*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/zheng-2026-benchmarking-multilingual-llm-translation-accuracy/)
48. [**Can Linguistically Related Languages Guide LLM Translation in Low-Resource Settings?**Aishwarya Ramasethu, Rohin Garg, Niyathi Allu, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/ramasethu-2026-can-linguistically-related-languages-guide/)
49. [**Can LLMs Translate Italy's Language Varieties?**Edoardo Signoroni, Pavel Rychlý*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/signoroni-2026-can-llms-translate-italy-s/)
50. [**Diacritic Restoration for Low-Resource Indigenous Languages: Case Study with Bribri and Cook Islands Māori**Rolando Coto-Solano, Daisy Li, Manoela Teleginski Ferraz, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/solano-2026-diacritic-restoration-low-resource-indigenous/)
51. [**Do LLMs Judge Distantly Supervised Named Entity Labels Well? Constructing the JudgeWEL Dataset**Alistair Plum, Laura Maria Bernardy, Tharindu Ranasinghe*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/plum-2026-do-llms-judge-distantly-supervised/)
52. [**Evaluating Machine Translation Datasets for Low-Web Data Languages: A Gendered Lens**Hellina Hailu Nigatu, Bethelhem Yemane Mamo, Bontu Fufa Balcha, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/nigatu-2026-evaluating-machine-translation-datasets-low/)
53. [**Multilingual Communication in the Asylum Context: Evaluating LLM-Based Machine Translation with Fuzzy Match Augmentation and Adaptive NMT across Resource Conditions under Low-Data Constraints**Thomas Moerman, Arda Tezcan, Lieve Macken*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/moerman-2026-multilingual-communication-asylum-context-evaluating/)
54. [**SynthLLM: An LLM-based Scalable Synthetic Data Generation Pipeline for Low-Resource Languages**Solmaz Panahi, Vasudevan Nedumpozhimana, John Kelleher*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/panahi-2026-synthllm-llm-based-scalable-synthetic/)
55. [**Aalamaram: A Large-Scale Linguistically Annotated Treebank for the Tamil Language**A M Abirami, Wei Qi Leong, Hamsawardhini Rengarajan, et al.*2024 · 1 citation*](https://md.research.elamur.ai/free/en/papers/abirami-2024-aalamaram-large-scale-linguistically-annotated/)
56. [**Analysis of Data Augmentation Methods for Low-Resource Maltese ASR**Andrea DeMarco; Carlos Mena; Albert Gatt; Claudia Borg; Aiden Williams;, Lonneke van der Plas*2021 · 1 citation*](https://md.research.elamur.ai/free/en/papers/demarco-2021-analysis-data-augmentation-methods-low/)
57. [**AmazoniaNLP: A Survey of Extreme Low-Resource Languages in the Peruvian-Brazilian Amazon**Rodolfo Joel Zevallos, Fabrício Carraro, John E. Ortega*2026*](https://md.research.elamur.ai/free/en/papers/zevallos-2026-amazonianlp-survey-extreme-low-resource/)
58. [**BEReshiT: an Ancient Hebrew Model based on DictaBERT**Iglika Nikolova-Stoupak, Maxime Amblard, Frédérique Rey*2026*](https://md.research.elamur.ai/free/en/papers/stoupak-2026-bereshit-ancient-hebrew-model-based/)
59. [**Beyond Catalogue Counts: The Dataset Visibility Asymmetry in Low-Resource Multilingual NLP**Zhiyin Tan, Changxu Duan*2026*](https://md.research.elamur.ai/free/en/papers/tan-2026-beyond-catalogue-counts-dataset-visibility/)
60. [**Beyond Multilinguality: Typological Limitations in Multilingual Models for Meitei Language**Badal Nyalang*2026*](https://md.research.elamur.ai/free/en/papers/nyalang-2026-beyond-multilinguality-typological-limitations-multilingual/)
61. [**Cultural and Knowledge Biases in LLMs through the Lens of Entity-Aware Machine Translation**Lu Xu, Luca Moroni, Roberto Navigli*2026*](https://md.research.elamur.ai/free/en/papers/xu-2026-cultural-knowledge-biases-llms-through/)
62. [**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/)
63. [**Evaluating Latin and Ancient Greek Sentence Alignment through Parallel Sentence Mining**Sebastian Reichbauer, Shu Okabe, Alexander Fraser*2026*](https://md.research.elamur.ai/free/en/papers/reichbauer-2026-evaluating-latin-ancient-greek-sentence/)
64. [**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/)
65. [**Information Asymmetry across Language Varieties: A Case Study on Cantonese-Mandarin and Bavarian-German QA**Renhao Pei, Siyao Peng, Verena Blaschke, et al.*2026*](https://md.research.elamur.ai/free/en/papers/pei-2026-information-asymmetry-across-language-varieties/)
66. [**Leveraging Digitized Newspapers to Collect Summarization Data in Low-Resource Languages**Noam Dahan, Omer Kidron, Gabriel Stanovsky*2026*](https://md.research.elamur.ai/free/en/papers/dahan-2026-leveraging-digitized-newspapers-collect-summarization/)
67. [**OasisSimp: An Open-source Asian-English Sentence Simplification Dataset**Hannah Liu, Murphy Tian, Iqra Ali, et al.*2026*](https://md.research.elamur.ai/free/en/papers/liu-2026-oasissimp-open-source-asian-english/)
68. [**On the Robustness of Morphosyntactic Transformation with Large Language Models: The Case of Quechua Collao**Pool Pocco, Arturo Oncevay*2026*](https://md.research.elamur.ai/free/en/papers/pocco-2026-robustness-morphosyntactic-transformation-large-language/)
69. [**Parsing Nheengatu: Performance Gains for a Brazilian Indigenous Universal Dependencies Treebank**Dominick Maia Alexandre, Leonel Figueiredo de Alencar*2026*](https://md.research.elamur.ai/free/en/papers/alexandre-2026-parsing-nheengatu-performance-gains-brazilian/)
70. [**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/)
71. [**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/)
72. [**Task-Lens: Cross-Task Utility Based Speech Dataset Profiling for Low-Resource Indian Languages**Swati Sharma, Divya V. Sharma, Anubha Gupta*2026*](https://md.research.elamur.ai/free/en/papers/sharma-2026-task-lens-cross-task-utility/)
73. [**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/)
74. [**The UD-NewsCrawl Treebank: Reflections and Challenges from a Large-scale Tagalog Syntactic Annotation Project**Angelina Aspra Aquino, Lester James Validad Miranda, Elsie Marie T. Or*2025*](https://md.research.elamur.ai/free/en/papers/aquino-2025-ud-newscrawl-treebank-reflections-challenges/)

684 more papers of our library cite it; they have no page here yet.

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