---
title: "Meta (United Kingdom) — works"
description: "36 works by researchers of Meta (United Kingdom) in our library, the most cited first."
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# Works of Meta (United Kingdom)

36 works · the most cited first · [← Meta (United Kingdom)](https://md.research.elamur.ai/free/en/companies/meta-united-kingdom/)

1. [**Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering**Gautier Izacard, Edouard Grave*2021 · 1,674 citations*](https://md.research.elamur.ai/free/en/papers/izacard-2021-leveraging-passage-retrieval-generative-models/)
2. [**MLQA: Evaluating Cross-lingual Extractive Question Answering**Patrick Lewis, Barlas Oğuz, Ruty Rinott, et al.*2019 · 735 citations*](https://md.research.elamur.ai/free/en/papers/lewis-2019-mlqa-evaluating-cross-lingual-extractive/)
3. [**CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data**Guillaume Wenzek, Marie-Anne Lachaux, Alexis Conneau, et al.*2020 · 650 citations*](https://md.research.elamur.ai/free/en/papers/wenzek-2020-ccnet-extracting-high-quality-monolingual/)
4. [**Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond**Mikel Artetxe, Holger Schwenk*2018 · 627 citations*](https://md.research.elamur.ai/free/en/papers/artetxe-2018-massively-multilingual-sentence-embeddings-zero/)
5. [**Reducing Transformer Depth on Demand with Structured Dropout**Angela Fan, Edouard Grave, Armand Joulin*2019 · 546 citations*](https://md.research.elamur.ai/free/en/papers/fan-2019-reducing-transformer-depth-demand-structured/)
6. [**Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning**Armen Aghajanyan, Sonal Gupta, Luke Zettlemoyer*2021 · 530 citations*](https://md.research.elamur.ai/free/en/papers/aghajanyan-2021-intrinsic-dimensionality-explains-effectiveness-language/)
7. [**WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia**Holger Schwenk, Vishrav Chaudhary, Shuo Sun, et al.*2019 · 424 citations*](https://md.research.elamur.ai/free/en/papers/schwenk-2019-wikimatrix-mining-135m-parallel-sentences/)
8. [**Empower Sequence Labeling with Task-Aware Neural Language Model**Liyuan Liu, Jingbo Shang, Frank F. Xu, et al.*2017 · 419 citations*](https://md.research.elamur.ai/free/en/papers/liu-2017-empower-sequence-labeling-task-aware/)
9. [**Are Sixteen Heads Really Better than One?**Paul Michel, Omer Levy, Graham Neubig*2019 · 412 citations*](https://md.research.elamur.ai/free/en/papers/michel-2019-sixteen-heads-really-better-than/)
10. [**The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes**Douwe Kiela, Hamed Firooz, Aravind Mohan, et al.*2020 · 403 citations*](https://md.research.elamur.ai/free/en/papers/kiela-2020-hateful-memes-challenge-detecting-hate/)
11. [**The FLORES Evaluation Datasets for Low-Resource Machine Translation: Nepali–English and Sinhala–English**Francisco Guzmán, Peng-Jen Chen, Myle Ott, et al.*2019 · 361 citations*](https://md.research.elamur.ai/free/en/papers/guzman-2019-flores-evaluation-datasets-low-resource/)
12. [**CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB**Holger Schwenk, Guillaume Wenzek, Sergey Edunov, et al.*2019 · 354 citations*](https://md.research.elamur.ai/free/en/papers/schwenk-2019-ccmatrix-mining-billions-high-quality/)
13. [**Abductive Commonsense Reasoning**Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, et al.*2019 · 301 citations*](https://md.research.elamur.ai/free/en/papers/bhagavatula-2019-abductive-commonsense-reasoning/)
14. [**Can You Put it All Together: Evaluating Conversational Agents' Ability to Blend Skills**Eric Michael Smith, Mary Williamson, Kurt Shuster, et al.*2020 · 288 citations*](https://md.research.elamur.ai/free/en/papers/smith-2020-can-you-put-it-all/)
15. [**PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them**Patrick Lewis, Yuxiang Wu, Linqing Liu, et al.*2021 · 286 citations*](https://md.research.elamur.ai/free/en/papers/lewis-2021-paq-65-million-probably-asked/)
16. [**Analysing Mathematical Reasoning Abilities of Neural Models**David Saxton, Edward Grefenstette, Felix Hill, et al.*2019 · 282 citations*](https://md.research.elamur.ai/free/en/papers/saxton-2019-analysing-mathematical-reasoning-abilities-neural/)
17. [**How Context Affects Language Models' Factual Predictions**Fabio Petroni, Patrick Lewis, Aleksandra Piktus, et al.*2020 · 231 citations*](https://md.research.elamur.ai/free/en/papers/petroni-2020-context-affects-language-models-factual/)
18. [**CCAligned: A Massive Collection of Cross-Lingual Web-Document Pairs**Ahmed El-Kishky, Vishrav Chaudhary, Francisco Guzmán, et al.*2020 · 228 citations*](https://md.research.elamur.ai/free/en/papers/kishky-2020-ccaligned-massive-collection-cross-lingual/)
19. [**Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning**Beliz Gunel, Jingfei Du, Alexis Conneau, et al.*2020 · 216 citations*](https://md.research.elamur.ai/free/en/papers/gunel-2020-supervised-contrastive-learning-pre-trained/)
20. [**ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations**Fernando Alva-Manchego, Louis Martin, Antoine Bordes, et al.*2020 · 215 citations*](https://md.research.elamur.ai/free/en/papers/manchego-2020-asset-dataset-tuning-evaluation-sentence/)
21. [**Learning Anaphoricity and Antecedent Ranking Features for Coreference Resolution**Sam Wiseman, Alexander M. Rush, Stuart Shieber, et al.*2015 · 209 citations*](https://md.research.elamur.ai/free/en/papers/wiseman-2015-learning-anaphoricity-antecedent-ranking-features/)
22. [**Pre-training via Paraphrasing**Mike Lewis, Marjan Ghazvininejad, Gargi Ghosh, et al.*2020 · 181 citations*](https://md.research.elamur.ai/free/en/papers/lewis-2020-pre-training-paraphrasing/)
23. [**8-bit Optimizers via Block-wise Quantization**Tim Dettmers, Mike Lewis, Sam Shleifer, et al.*2021 · 177 citations*](https://md.research.elamur.ai/free/en/papers/dettmers-2021-8-bit-optimizers-block-wise/)
24. [**Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings**Mikel Artetxe, Holger Schwenk*2019 · 164 citations*](https://md.research.elamur.ai/free/en/papers/artetxe-2019-margin-based-parallel-corpus-mining/)
25. [**EASSE: Easier Automatic Sentence Simplification Evaluation**Fernando Alva-Manchego, Louis Martin, Carolina Scarton, et al.*2019 · 162 citations*](https://md.research.elamur.ai/free/en/papers/manchego-2019-easse-easier-automatic-sentence-simplification/)
26. [**Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESupposition**Paloma Jeretic, Alex Warstadt, Suvrat Bhooshan, et al.*2020 · 161 citations*](https://md.research.elamur.ai/free/en/papers/jeretic-2020-are-natural-language-inference-models/)
27. [**Unsupervised Translation of Programming Languages**Marie-Anne Lachaux, Baptiste Roziere, Lowik Chanussot, et al.*2020 · 156 citations*](https://md.research.elamur.ai/free/en/papers/lachaux-2020-unsupervised-translation-programming-languages/)
28. [**Unsupervised Quality Estimation for Neural Machine Translation**Marina Fomicheva, Shuo Sun, Lisa Yankovskaya, et al.*2020 · 153 citations*](https://md.research.elamur.ai/free/en/papers/fomicheva-2020-unsupervised-quality-estimation-neural-machine/)
29. [**Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine Translation**Jungo Kasai, Nikolaos Pappas, Hao Peng, et al.*2020 · 132 citations*](https://md.research.elamur.ai/free/en/papers/kasai-2020-deep-encoder-shallow-decoder-reevaluating/)
30. [**Low-Resource Corpus Filtering Using Multilingual Sentence Embeddings**Vishrav Chaudhary, Yuqing Tang, Francisco Guzmán, et al.*2019 · 110 citations*](https://md.research.elamur.ai/free/en/papers/chaudhary-2019-low-resource-corpus-filtering-multilingual/)
31. [**Findings of the WMT 2021 Shared Task on Quality Estimation**Lucia Specia, Frédéric Blain, Marina Fomicheva, et al.*2021 · 80 citations*](https://md.research.elamur.ai/free/en/papers/specia-2021-findings-wmt-2021-shared-task/)
32. [**MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset**Marina Fomicheva, Shuo Sun, Erick Fonseca, et al.*2022 · 76 citations*](https://md.research.elamur.ai/free/en/papers/fomicheva-2022-mlqe-pe-multilingual-quality-estimation/)
33. [**Syntax-augmented Multilingual BERT for Cross-lingual Transfer**Wasi Ahmad, Haoran Li, Kai-Wei Chang, et al.*2021 · 42 citations*](https://md.research.elamur.ai/free/en/papers/ahmad-2021-syntax-augmented-multilingual-bert-cross/)
34. [**Facebook AI's WMT21 News Translation Task Submission**Chau Tran, Shruti Bhosale, James Cross, et al.*2021 · 42 citations*](https://md.research.elamur.ai/free/en/papers/tran-2021-facebook-ai-s-wmt21-news/)
35. [**Active Learning for Coreference Resolution using Discrete Annotation**Belinda Z. Li, Gabriel Stanovsky, Luke Zettlemoyer*2020 · 36 citations*](https://md.research.elamur.ai/free/en/papers/li-2020-active-learning-coreference-resolution-discrete/)
36. [**Interpreting Verbal Irony: Linguistic Strategies and the Connection to the Type of Semantic Incongruity**Debanjan Ghosh, Elena Musi, Smaranda Muresan*2020 · 10 citations*](https://md.research.elamur.ai/free/en/papers/ghosh-2020-interpreting-verbal-irony-linguistic-strategies/)
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