---
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 bibliographies…"
canonical: "https://research.elamur.ai/free/en/papers/joshi-2020-state-fate-linguistic-diversity-inclusion/cited-by/"
---
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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 140884 whose bibliographies we read) · 74 with a page here, the most cited first · page 1 of 3 · [← the paper](https://md.research.elamur.ai/free/en/papers/joshi-2020-state-fate-linguistic-diversity-inclusion/)

**1** [2](https://md.research.elamur.ai/free/en/papers/joshi-2020-state-fate-linguistic-diversity-inclusion/cited-by/page/2/) [3](https://md.research.elamur.ai/free/en/papers/joshi-2020-state-fate-linguistic-diversity-inclusion/cited-by/page/3/) [next →](https://md.research.elamur.ai/free/en/papers/joshi-2020-state-fate-linguistic-diversity-inclusion/cited-by/page/2/)

- [On the Opportunities and Risks of Foundation Models](https://md.research.elamur.ai/free/en/papers/bommasani-2021-opportunities-risks-foundation-models/) — Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al. · 2021 · 3 044 citations
- [Language (Technology) is Power: A Critical Survey of “Bias” in NLP](https://md.research.elamur.ai/free/en/papers/blodgett-2020-language-technology-is-power-critical/) — Su Lin Blodgett, Solon Barocas, Hal Daumé III, et al. · 2020 · 1 700 citations
- [A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity](https://md.research.elamur.ai/free/en/papers/bang-2023-multitask-multilingual-multimodal-evaluation-chatgpt/) — Yejin Bang, Samuel Cahyawijaya, Nayeon Lee, et al. · 2023 · 866 citations
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- [From Zero to Hero: On the Limitations of Zero-Shot Language Transfer with Multilingual Transformers](https://md.research.elamur.ai/free/en/papers/lauscher-2020-zero-hero-limitations-zero-shot/) — Anne Lauscher, Vinit Ravishankar, Ivan Vulić, et al. · 2020 · 461 citations
- [How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models](https://md.research.elamur.ai/free/en/papers/rust-2021-how-good-is-your-tokenizer/) — Phillip Rust, Jonas Pfeiffer, Ivan Vulić, et al. · 2021 · 444 citations
- [Ethical and social risks of harm from Language Models](https://md.research.elamur.ai/free/en/papers/weidinger-2021-ethical-social-risks-harm-language/) — Laura Weidinger, John Mellor, Maribeth Rauh, et al. · 2021 · 421 citations
- [A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios](https://md.research.elamur.ai/free/en/papers/hedderich-2021-survey-recent-approaches-natural-language/) — Michael A. Hedderich, Lukas Lange, Heike Adel, et al. · 2021 · 399 citations
- [Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages](https://md.research.elamur.ai/free/en/papers/nekoto-2020-participatory-research-low-resourced-machine/) — Wilhelmina Nekoto, Vukosi Marivate, Tshinondiwa Matsila, et al. · 2020 · 333 citations
- [BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Bangla](https://md.research.elamur.ai/free/en/papers/bhattacharjee-2022-banglabert-language-model-pretraining-benchmarks/) — Abhik Bhattacharjee, Tahmid Hasan, Wasi Ahmad, et al. · 2022 · 296 citations
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- [XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation](https://md.research.elamur.ai/free/en/papers/ruder-2021-xtreme-r-more-challenging-nuanced/) — Sebastian Ruder, Noah Constant, Jan Botha, et al. · 2021 · 277 citations
- [XLM-T: Multilingual Language Models in Twitter for Sentiment Analysis and Beyond](https://md.research.elamur.ai/free/en/papers/barbieri-2022-xlm-t-multilingual-language-models/) — Francesco Barbieri, Luis Espinosa Anke, Jose Camacho-Collados · 2022 · 271 citations
- [Towards Measuring the Representation of Subjective Global Opinions in Language Models](https://md.research.elamur.ai/free/en/papers/durmus-2023-towards-measuring-representation-subjective-global/) — Esin Durmus, Karina Nguyen, Thomas I. Liao, et al. · 2023 · 262 citations
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- [The Importance of Modeling Social Factors of Language: Theory and Practice](https://md.research.elamur.ai/free/en/papers/hovy-2021-importance-modeling-social-factors-language/) — Dirk Hovy, Diyi Yang · 2021 · 234 citations
- [Systematic Inequalities in Language Technology Performance across the World's Languages](https://md.research.elamur.ai/free/en/papers/blasi-2022-systematic-inequalities-language-technology-performance/) — Damian Blasi, Antonios Anastasopoulos, Graham Neubig · 2022 · 214 citations
- [MADLAD-400: A Multilingual And Document-Level Large Audited Dataset](https://md.research.elamur.ai/free/en/papers/kudugunta-2023-madlad-400-multilingual-document-level/) — Sneha Kudugunta, Isaac Caswell, Biao Zhang, et al. · 2023 · 211 citations
- [Challenges in Detoxifying Language Models](https://md.research.elamur.ai/free/en/papers/welbl-2021-challenges-detoxifying-language-models/) — Johannes Welbl, Amelia Glaese, Jonathan Uesato, et al. · 2021 · 206 citations
- [Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning](https://md.research.elamur.ai/free/en/papers/singh-2024-aya-dataset-open-access-collection/) — Shivalika Singh, Freddie Vargus, Daniel D'souza, et al. · 2024 · 202 citations
- [IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages](https://md.research.elamur.ai/free/en/papers/gala-2023-indictrans2-towards-high-quality-accessible/) — Jay Gala, Pranjal A. Chitale, Raghavan AK, et al. · 2023 · 200 citations
- [When Being Unseen from mBERT is just the Beginning: Handling New Languages With Multilingual Language Models](https://md.research.elamur.ai/free/en/papers/muller-2021-when-being-unseen-mbert-is/) — Benjamin Muller, Antonios Anastasopoulos, Benoît Sagot, et al. · 2021 · 189 citations
- [Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation](https://md.research.elamur.ai/free/en/papers/singh-2025-global-mmlu-understanding-addressing-cultural/) — Shivalika Singh, Angelika Romanou, Clémentine Fourrier, et al. · 2025 · 179 citations
- [Towards Leaving No Indic Language Behind: Building Monolingual Corpora, Benchmark and Models for Indic Languages](https://md.research.elamur.ai/free/en/papers/doddapaneni-2023-leaving-no-indic-language-behind/) — Sumanth Doddapaneni, Rahul Aralikatte, Gowtham Ramesh, et al. · 2023 · 174 citations

**1** [2](https://md.research.elamur.ai/free/en/papers/joshi-2020-state-fate-linguistic-diversity-inclusion/cited-by/page/2/) [3](https://md.research.elamur.ai/free/en/papers/joshi-2020-state-fate-linguistic-diversity-inclusion/cited-by/page/3/) [next →](https://md.research.elamur.ai/free/en/papers/joshi-2020-state-fate-linguistic-diversity-inclusion/cited-by/page/2/)
