---
title: "Vishrav Chaudhary — all works — Elamur Research"
description: "All 32 works of Vishrav Chaudhary in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
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---
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# Vishrav Chaudhary — all works

32 works · [← Vishrav Chaudhary](https://md.research.elamur.ai/free/en/authors/vishrav-chaudhary/)

1. **[Unsupervised Cross-lingual Representation Learning at Scale ↗](https://aclanthology.org/2020.acl-main.747/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Alexis Conneau et al.*2020 · 9,468 citations*
2. **[Holistic Evaluation of Language Models ↗](https://arxiv.org/abs/2211.09110) arXiv:2211.09110 · Published in Transactions on Machine Learning Research (TMLR), 2023 · no summary yet**Percy Liang et al.*2022 · 1,001 citations*
3. **[The Flores-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation ↗](https://aclanthology.org/2022.tacl-1.30/) Transactions of the Association for Computational Linguistics · no summary yet**Naman Goyal et al.*2022 · 770 citations*
4. **[CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data](https://md.research.elamur.ai/free/en/papers/wenzek-2020-ccnet-extracting-high-quality-monolingual/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Guillaume Wenzek, Marie-Anne Lachaux, Alexis Conneau, et al.*2020 · 666 citations*
5. [**WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia arXiv:1907.05791**Holger Schwenk, Vishrav Chaudhary, Shuo Sun, et al.*2019 · 428 citations*](https://md.research.elamur.ai/free/en/papers/schwenk-2019-wikimatrix-mining-135m-parallel-sentences/)
6. **[The FLORES Evaluation Datasets for Low-Resource Machine Translation: Nepali–English and Sinhala–English](https://md.research.elamur.ai/free/en/papers/guzman-2019-flores-evaluation-datasets-low-resource/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Francisco Guzmán, Peng-Jen Chen, Myle Ott, et al.*2019 · 365 citations*
7. **[The FLoRes Evaluation Datasets for Low-Resource Machine Translation: Nepali-English and Sinhala-English ↗](https://arxiv.org/abs/1902.01382) arXiv:1902.01382 · no summary yet**Francisco Guzman et al.*2019 · 242 citations*
8. **[CCAligned: A Massive Collection of Cross-Lingual Web-Document Pairs](https://md.research.elamur.ai/free/en/papers/kishky-2020-ccaligned-massive-collection-cross-lingual/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ahmed El-Kishky, Vishrav Chaudhary, Francisco Guzmán, et al.*2020 · 231 citations*
9. **[Multilingual Translation from Denoising Pre-Training](https://md.research.elamur.ai/free/en/papers/tang-2021-multilingual-translation-denoising-pre-training/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuqing Tang, Chau Tran, Xian Li, et al.*2021 · 220 citations*
10. **[Findings of the 2021 Conference on Machine Translation (WMT21)](https://md.research.elamur.ai/free/en/papers/akhbardeh-2021-findings-2021-conference-machine-translation/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Farhad Akhbardeh, Arkady Arkhangorodsky, Magdalena Biesialska, et al.*2021 · 189 citations*
11. **[Self-training Improves Pre-training for Natural Language Understanding](https://md.research.elamur.ai/free/en/papers/du-2021-self-training-improves-pre-training/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Jingfei Du, Edouard Grave, Beliz Gunel, et al.*2021 · 172 citations*
12. **[AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages](https://md.research.elamur.ai/free/en/papers/ebrahimi-2022-americasnli-evaluating-zero-shot-natural/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Abteen Ebrahimi, Manuel Mager, Arturo Oncevay, et al.*2022 · 164 citations*
13. **[Findings of the WMT 2020 Shared Task on Quality Estimation](https://md.research.elamur.ai/free/en/papers/specia-2020-findings-wmt-2020-shared-task-2020-wmt-1-79/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Lucia Specia, Frédéric Blain, Marina Fomicheva, et al.*2020 · 160 citations*
14. **[Unsupervised Quality Estimation for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/fomicheva-2020-unsupervised-quality-estimation-neural-machine/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Marina Fomicheva, Shuo Sun, Lisa Yankovskaya, et al.*2020 · 154 citations*
15. [**Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs arXiv:2503.01743**Microsoft, Abdelrahman Abouelenin, Atabak Ashfaq, et al.*2025 · 152 citations*](https://md.research.elamur.ai/free/en/papers/microsoft-2025-phi-4-mini-technical-report/)
16. **[Few-shot Learning with Multilingual Generative Language Models ↗](https://aclanthology.org/2022.emnlp-main.616/) Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yet**Xi Victoria Lin et al.*2022 · 133 citations*
17. **[Findings of the WMT 2019 Shared Task on Parallel Corpus Filtering for Low-Resource Conditions](https://md.research.elamur.ai/free/en/papers/koehn-2019-findings-wmt-2019-shared-task/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Philipp Koehn, Francisco Guzmán, Vishrav Chaudhary, et al.*2019 · 132 citations*
18. **[A Length-Extrapolatable Transformer](https://md.research.elamur.ai/free/en/papers/sun-2023-length-extrapolatable-transformer/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yutao Sun, Li Dong, Barun Patra, et al.*2023 · 118 citations*
19. **[Low-Resource Corpus Filtering Using Multilingual Sentence Embeddings](https://md.research.elamur.ai/free/en/papers/chaudhary-2019-low-resource-corpus-filtering-multilingual/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Vishrav Chaudhary, Yuqing Tang, Francisco Guzmán, et al.*2019 · 110 citations*
20. **[Findings of the WMT 2020 Shared Task on Parallel Corpus Filtering and Alignment](https://md.research.elamur.ai/free/en/papers/koehn-2020-findings-wmt-2020-shared-task/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Philipp Koehn, Vishrav Chaudhary, Ahmed El-Kishky, et al.*2020 · 101 citations*
21. **[Findings of the WMT 2021 Shared Task on Quality Estimation](https://md.research.elamur.ai/free/en/papers/specia-2021-findings-wmt-2021-shared-task/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Lucia Specia, Frédéric Blain, Marina Fomicheva, et al.*2021 · 80 citations*
22. **[MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset](https://md.research.elamur.ai/free/en/papers/fomicheva-2022-mlqe-pe-multilingual-quality-estimation/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Marina Fomicheva, Shuo Sun, Erick Fonseca, et al.*2022 · 76 citations*
23. **[Quality Estimation without Human-labeled Data ↗](https://aclanthology.org/2021.eacl-main.50/) Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume · no summary yet**Yi-Lin Tuan et al.*2021 · 41 citations*
24. **[Findings of the WMT 2020 Shared Task on Machine Translation Robustness ↗](https://aclanthology.org/2020.wmt-1.4/) Proceedings of the Fifth Conference on Machine Translation · no summary yet**Lucia Specia et al.*2020 · 39 citations*
25. **[BERGAMOT-LATTE Submissions for the WMT20 Quality Estimation Shared Task ↗](https://aclanthology.org/2020.wmt-1.116/) Proceedings of the Fifth Conference on Machine Translation · no summary yet**Marina Fomicheva et al.*2020 · 32 citations*
26. **[How Robust is Neural Machine Translation to Language Imbalance in Multilingual Tokenizer Training? ↗](https://aclanthology.org/2022.amta-research.8/) Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track) · no summary yet**Shiyue Zhang et al.*2022 · 25 citations*
27. **[AmericasNLI: Machine translation and natural language inference systems for Indigenous languages of the Americas ↗](https://doi.org/10.3389/frai.2022.995667) Frontiers in Artificial Intelligence · no summary yet**Katharina Kann et al.*2022 · 24 citations*
28. **[An Exploratory Study on Multilingual Quality Estimation ↗](https://aclanthology.org/2020.aacl-main.39/) Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing · no summary yet**Shuo Sun et al.*2020 · 14 citations*
29. [**GRIN: GRadient-INformed MoE arXiv:2409.12136**Liyuan Liu, Young Jin Kim, Shuohang Wang, et al.*2024 · 7 citations*](https://md.research.elamur.ai/free/en/papers/liu-2024-grin-gradient-informed-moe/)
30. **[The SUMEval 2022 Shared Task on Performance Prediction of Multilingual Pre-trained Language Models ↗](https://aclanthology.org/2022.sumeval-1.1/) Proceedings of the First Workshop on Scaling Up Multilingual Evaluation · no summary yet**Kabir Ahuja et al.*2022 · 2 citations*
31. **[Classification-based Quality Estimation: Small and Efficient Models for Real-world Applications ↗](https://aclanthology.org/2021.emnlp-main.474/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Shuo Sun et al.*2021 · 1 citation*
32. [**A Survey of Qualitative Error Analysis for Neural Machine Translation Systems**Denise Díaz, James Cross, Vishrav Chaudhary, et al.*Machine translation*](https://md.research.elamur.ai/free/en/papers/diaz-2020-survey-qualitative-error-analysis-neural/)