---
title: "Microsoft — research, people and papers in our library"
description: "Microsoft (Redmond, United States): 240 works on the Elamur Research site, 184 people with a page, 123,537 citations; its topics, units and the…"
canonical: "https://research.elamur.ai/free/en/companies/microsoft/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/companies/microsoft/)

[home](https://md.research.elamur.ai/free/en/) / [institutions](https://md.research.elamur.ai/free/en/orgs/) / [companies](https://md.research.elamur.ai/free/en/companies/) / Microsoft

# Microsoft

Company Redmond ([Seattle](https://md.research.elamur.ai/free/en/agglomerations/seattle/)), [United States](https://md.research.elamur.ai/free/en/countries/united-states/)in the agglomeration of [Seattle](https://md.research.elamur.ai/free/en/agglomerations/seattle/)

- [Website](https://www.microsoft.com/en-us)
- [ROR](https://ror.org/00d0nc645)
- [OpenAlex](https://openalex.org/I1290206253)
- [Wikidata](https://www.wikidata.org/wiki/Q2283)

[**240** works in our library](https://md.research.elamur.ai/free/en/companies/microsoft/works/) · [**431** people with a page](https://md.research.elamur.ai/free/en/companies/microsoft/authors/) · [**123,537** citations of these works](https://md.research.elamur.ai/free/en/companies/microsoft/works/) · [**49,301** citations in our library](https://md.research.elamur.ai/free/en/companies/microsoft/works/)

## People (431)

Authors with a page here who worked or studied at Microsoft: first those whose cited work was done most here; beside each, their citations.

### Core (184)

Confirmed by their records, or by their bylines here with a fair part of their work.

1. [**Jianfeng Gao**current · 2000–2026 on 288 papers*40 papers here · 34,188 citations*](https://md.research.elamur.ai/free/en/authors/jianfeng-gao/)
2. [**Kristina Toutanova**2006–2017 on 43 papers*22 papers here · 74,005 citations*](https://md.research.elamur.ai/free/en/authors/kristina-toutanova/)
3. [**Weizhu Chen**current · 2014–2026 on 108 papers*19 papers here · 19,665 citations*](https://md.research.elamur.ai/free/en/authors/weizhu-chen/)
4. [**Furu Wei**current · 2012–2026 on 166 papers*41 papers here · 19,959 citations*](https://md.research.elamur.ai/free/en/authors/furu-wei/)
5. [**Wen-tau Yih**2005–2018 on 55 papers*25 papers here · 22,288 citations*](https://md.research.elamur.ai/free/en/authors/wen-tau-yih/)
6. [**Xiaodong He**2006–2021 on 119 papers*9 papers here · 15,215 citations*](https://md.research.elamur.ai/free/en/authors/xiaodong-he/)
7. [**Yuanzhi Li**2022–2024 on 14 papers*7 papers here · 14,920 citations*](https://md.research.elamur.ai/free/en/authors/yuanzhi-li/)
8. [**Chunyuan Li**current · 2017–2025 on 64 papers*15 papers here · 12,296 citations*](https://md.research.elamur.ai/free/en/authors/chunyuan-li/)
9. [**Yelong Shen**current · 2014–2026 on 76 papers*6 papers here · 11,361 citations*](https://md.research.elamur.ai/free/en/authors/yelong-shen/)
10. [**Xiaodong Liu**2018–2022 on 27 papers*14 papers here · 14,917 citations*](https://md.research.elamur.ai/free/en/authors/xiaodong-liu/)
11. [**Michel Galley**current · 2011–2026 on 78 papers*17 papers here · 12,062 citations*](https://md.research.elamur.ai/free/en/authors/michel-galley/)
12. [**Chin-Yew Lin**current · 2008–2026 on 45 papers*10 papers here · 18,636 citations*](https://md.research.elamur.ai/free/en/authors/chin-yew-lin/)
13. [**Chris Brockett**current · 2000–2025 on 61 papers*12 papers here · 8,671 citations*](https://md.research.elamur.ai/free/en/authors/chris-brockett/)
14. [**Bill Dolan**current · 1993–2026 on 68 papers*12 papers here · 8,514 citations*](https://md.research.elamur.ai/free/en/authors/bill-dolan/)
15. [**Ming Zhou**2000–2021 on 52 papers*28 papers here · 18,929 citations*](https://md.research.elamur.ai/free/en/authors/ming-zhou/)
16. [**Li Deng**2000–2018 on 220 papers*4 papers here · 7,904 citations*](https://md.research.elamur.ai/free/en/authors/li-deng/)
17. [**Scott Lundberg**2017–2025 on 19 papers*2 papers here · 11,547 citations*](https://md.research.elamur.ai/free/en/authors/scott-lundberg/)
18. [**C. Lawrence Zitnick**2004–2016 on 55 papers*5 papers here · 9,874 citations*](https://md.research.elamur.ai/free/en/authors/c-lawrence-zitnick/)
19. [**Pengcheng He**2019–2024 on 41 papers*10 papers here · 7,000 citations*](https://md.research.elamur.ai/free/en/authors/pengcheng-he/)
20. [**Christian Federmann**2015–2024 on 23 papers*17 papers here · 8,864 citations*](https://md.research.elamur.ai/free/en/authors/christian-federmann/)
21. [**Jingjing Liu**2015–2021 on 14 papers*9 papers here · 6,953 citations*](https://md.research.elamur.ai/free/en/authors/jingjing-liu/)
22. [**Zhe Gan**2018–2024 on 92 papers*8 papers here · 5,689 citations*](https://md.research.elamur.ai/free/en/authors/zhe-gan/)
23. [**Li Dong**2019–2023 on 20 papers*19 papers here · 9,710 citations*](https://md.research.elamur.ai/free/en/authors/li-dong/)
24. [**Hoifung Poon**current · 2013–2026 on 98 papers*9 papers here · 6,307 citations*](https://md.research.elamur.ai/free/en/authors/hoifung-poon/)
25. [**Sébastien Bubeck**current · 2014–2025 on 77 papers*3 papers here · 5,202 citations*](https://md.research.elamur.ai/free/en/authors/sebastien-bubeck/)

**Also published with this affiliation (247)**

Matched by the bylines of their papers, not confirmed: few papers there, or a small part of their work.

185. [**Jacob Devlin**2015–2018 on 8 papers*11 papers here · 75,544 citations*](https://md.research.elamur.ai/free/en/authors/jacob-devlin/)
186. [**Christopher D. Manning**2008–2022 on 2 papers*85 papers here · 132,114 citations*](https://md.research.elamur.ai/free/en/authors/christopher-d-manning/)
187. [**Yejin Choi**2019–2022 on 8 papers*65 papers here · 27,977 citations*](https://md.research.elamur.ai/free/en/authors/yejin-choi/)
188. [**Licheng Yu**2020 on 4 papers*5 papers here · 5,021 citations*](https://md.research.elamur.ai/free/en/authors/licheng-yu/)
189. [**Daya Guo**2019–2022 on 5 papers*8 papers here · 12,001 citations*](https://md.research.elamur.ai/free/en/authors/daya-guo/)
190. [**Michael Auli**2013–2014 on 4 papers*19 papers here · 19,083 citations*](https://md.research.elamur.ai/free/en/authors/michael-auli/)
191. [**Matt Post**current · 2021–2026 on 15 papers*13 papers here · 10,836 citations*](https://md.research.elamur.ai/free/en/authors/matt-post/)
192. [**Zhibin Gou**2023–2025 on 3 papers*3 papers here · 6,288 citations*](https://md.research.elamur.ai/free/en/authors/zhibin-gou/)
193. [**Christof Monz**2018–2025 on 3 papers*16 papers here · 8,201 citations*](https://md.research.elamur.ai/free/en/authors/christof-monz/)
194. [**Zichao Yang**2018 on 2 papers*4 papers here · 8,634 citations*](https://md.research.elamur.ai/free/en/authors/zichao-yang/)
195. [**Colin Cherry**2008–2009 on 10 papers*17 papers here · 8,812 citations*](https://md.research.elamur.ai/free/en/authors/colin-cherry/)
196. [**Wenhui Wang**2019–2023 on 4 papers*6 papers here · 3,602 citations*](https://md.research.elamur.ai/free/en/authors/wenhui-wang/)
197. [**Shunyu Yao**2020–2021 on 2 papers*9 papers here · 6,794 citations*](https://md.research.elamur.ai/free/en/authors/shunyu-yao/)
198. [**Pushmeet Kohli**2008–2023 on 88 papers · employment (Wikidata)*5 papers here · 7,325 citations*](https://md.research.elamur.ai/free/en/authors/pushmeet-kohli/)
199. [**Yu Wu**2019–2025 on 22 papers*9 papers here · 7,724 citations*](https://md.research.elamur.ai/free/en/authors/yu-wu/)
200. [**Xipeng Qiu**2021 on 2 papers*31 papers here · 13,314 citations*](https://md.research.elamur.ai/free/en/authors/xipeng-qiu/)
201. [**Jianfeng Lu**2018–2020 on 2 papers*2 papers here · 2,089 citations*](https://md.research.elamur.ai/free/en/authors/jianfeng-lu/)
202. [**Da Yin**2021 on 3 papers*8 papers here · 3,960 citations*](https://md.research.elamur.ai/free/en/authors/da-yin/)
203. [**Jian-Yun Nie**2015 on 3 papers*4 papers here · 4,911 citations*](https://md.research.elamur.ai/free/en/authors/jian-yun-nie/)
204. [**Jyoti Aneja**2022–2024 on 3 papers*2 papers here · 1,602 citations*](https://md.research.elamur.ai/free/en/authors/jyoti-aneja/)
205. [**Claire Cardie**2018–2019 on 2 papers*31 papers here · 9,867 citations*](https://md.research.elamur.ai/free/en/authors/claire-cardie/)
206. [**Reza Yazdani Aminabadi**current · 2021–2024 on 4 papers*3 papers here · 1,539 citations*](https://md.research.elamur.ai/free/en/authors/reza-yazdani-aminabadi/)
207. [**Kevin Lin**2020–2025 on 26 papers*6 papers here · 4,655 citations*](https://md.research.elamur.ai/free/en/authors/kevin-lin/)
208. [**Vishrav Chaudhary**2022–2025 on 24 papers*18 papers here · 6,626 citations*](https://md.research.elamur.ai/free/en/authors/vishrav-chaudhary/)
209. [**Karthik Narasimhan**2020–2021 on 2 papers*11 papers here · 7,736 citations*](https://md.research.elamur.ai/free/en/authors/karthik-narasimhan/)

The first 25; all on the full list below.

[See all 431 people at Microsoft →](https://md.research.elamur.ai/free/en/companies/microsoft/authors/)

## Works in our library (240)

The most cited first (OpenAlex citations plus our library's).

1. **[Hierarchical Attention Networks for Document Classification](https://md.research.elamur.ai/free/en/papers/yang-2016-hierarchical-attention-networks-document-classification/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Zichao Yang, Diyi Yang, Chris Dyer, et al.*2016 · 5,423 citations*
2. [**Microsoft COCO: Common Objects in Context arXiv:1405.0312**Tsung-Yi Lin, Michael Maire, Serge Belongie, et al.*2014 · 4,567 citations*](https://md.research.elamur.ai/free/en/papers/lin-2014-microsoft-coco-common-objects-context/)
3. **[Linguistic Regularities in Continuous Space Word Representations](https://md.research.elamur.ai/free/en/papers/mikolov-2013-linguistic-regularities-continuous-space-word/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Tomas Mikolov, Wen-tau Yih, Geoffrey Zweig*2013 · 3,496 citations*
4. **[CodeBERT: A Pre-Trained Model for Programming and Natural Languages](https://md.research.elamur.ai/free/en/papers/feng-2020-codebert-pre-trained-model-programming/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhangyin Feng, Daya Guo, Duyu Tang, et al.*2020 · 2,960 citations*
5. **[A Diversity-Promoting Objective Function for Neural Conversation Models](https://md.research.elamur.ai/free/en/papers/li-2016-diversity-promoting-objective-function-neural/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Jiwei Li, Michel Galley, Chris Brockett, et al.*2016 · 2,939 citations*
6. **[Learning to Rank using Gradient Descent](https://md.research.elamur.ai/free/en/papers/burges-2005-learning-rank-using-gradient/) [International Conference on Machine Learning (ICML)](https://md.research.elamur.ai/free/en/venues/international-conference-on-machine-learning/)**Chris Burges, Tal Shaked, Erin Renshaw, et al.*2005 · 2,896 citations*
7. [**Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing arXiv:2007.15779**Yu Gu; Robert Tinn; Hao Cheng; Michael Lucas; Naoto Usuyama; Xiaodong Liu; Tristan Naumann; Jianfeng Gao;, Hoifung Poon*2020 · 2,655 citations*](https://md.research.elamur.ai/free/en/papers/gu-2020-domain-specific-language-model-pretraining/)
8. **[Improved Baselines with Visual Instruction Tuning](https://md.research.elamur.ai/free/en/papers/liu-2023-improved-baselines-visual-instruction-tuning/) [IEEE Computer Society Conference on Computer Vision and Pattern Recognition](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/)**Haotian Liu, Chunyuan Li, Yuheng Li, et al.*2023 · 2,558 citations*
9. [**Visual Instruction Tuning arXiv:2304.08485**Haotian Liu, Chunyuan Li, Qingyang Wu, et al.*2023 · 2,491 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-visual-instruction-tuning/)
10. [**Sparks of Artificial General Intelligence: Early experiments with GPT-4 arXiv:2303.12712**Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, et al.*2023 · 2,400 citations*](https://md.research.elamur.ai/free/en/papers/bubeck-2023-sparks-artificial-general-intelligence-early/)
11. **[UNITER: UNiversal Image-TExt Representation Learning](https://md.research.elamur.ai/free/en/papers/chen-2019-uniter-universal-image-text-representation/) [Lecture notes in computer science](https://md.research.elamur.ai/free/en/venues/lecture-notes-in-computer-science/)**Yen-Chun Chen, Linjie Li, Licheng Yu, et al.*2019 · 2,356 citations*
12. [**Embedding Entities and Relations for Learning and Inference in Knowledge Bases arXiv:1412.6575**Bishan Yang, Wen-tau Yih, Xiaodong He, et al.*2014 · 2,356 citations*](https://md.research.elamur.ai/free/en/papers/yang-2014-embedding-entities-relations-learning-inference/)
13. [**Automatically Constructing a Corpus of Sentential Paraphrases Proceedings of the Third International Workshop on Paraphrasing (IWP2005)**William B. Dolan, Chris Brockett*2005 · 1,844 citations*](https://md.research.elamur.ai/free/en/papers/dolan-2005-automatically-constructing-corpus-sentential-paraphrases/)
14. **[Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks](https://md.research.elamur.ai/free/en/papers/li-2020-oscar-object-semantics-aligned-pre/) [Lecture notes in computer science](https://md.research.elamur.ai/free/en/venues/lecture-notes-in-computer-science/)**Xiujun Li, Xi Yin, Chunyuan Li, et al.*2020 · 1,838 citations*
15. [**DeBERTa: Decoding-enhanced BERT with Disentangled Attention arXiv:2006.03654**Pengcheng He, Xiaodong Liu, Jianfeng Gao, et al.*2020 · 1,808 citations*](https://md.research.elamur.ai/free/en/papers/he-2020-deberta-decoding-enhanced-bert-disentangled/)
16. **[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/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Su Lin Blodgett, Solon Barocas, Hal Daumé III, et al.*2020 · 1,703 citations*
17. **[Multi-Task Deep Neural Networks for Natural Language Understanding](https://md.research.elamur.ai/free/en/papers/liu-2019-multi-task-deep-neural-networks/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaodong Liu, Pengcheng He, Weizhu Chen, et al.*2019 · 1,511 citations*
18. **[Deep Reinforcement Learning for Dialogue Generation](https://md.research.elamur.ai/free/en/papers/li-2016-deep-reinforcement-learning-dialogue-generation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiwei Li, Will Monroe, Alan Ritter, et al.*2016 · 1,495 citations*
19. **[The State and Fate of Linguistic Diversity and Inclusion in the NLP World](https://md.research.elamur.ai/free/en/papers/joshi-2020-state-fate-linguistic-diversity-inclusion/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Pratik Joshi, Sebastin Santy, Amar Budhiraja, et al.*2020 · 1,494 citations*
20. [**Unified Language Model Pre-training for Natural Language Understanding and Generation arXiv:1905.03197**Li Dong, Nan Yang, Wenhui Wang, et al.*2019 · 1,406 citations*](https://md.research.elamur.ai/free/en/papers/dong-2019-unified-language-model-pre-training/)
21. [**DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing arXiv:2111.09543**Pengcheng He, Jianfeng Gao, Weizhu Chen*2021 · 1,316 citations*](https://md.research.elamur.ai/free/en/papers/he-2021-debertav3-improving-deberta-using-electra/)
22. **[COMET: Commonsense Transformers for Automatic Knowledge Graph Construction](https://md.research.elamur.ai/free/en/papers/bosselut-2019-comet-commonsense-transformers-automatic-knowledge/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Antoine Bosselut, Hannah Rashkin, Maarten Sap, et al.*2019 · 1,287 citations*
23. [**What Makes Good In-Context Examples for GPT-3? Proceedings of Deep Learning Inside Out (DeeLIO 2022): The 3rd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures**Jiachang Liu, Dinghan Shen, Yizhe Zhang, et al.*2022 · 1,238 citations*](https://md.research.elamur.ai/free/en/papers/liu-2022-what-makes-good-context-examples/)
24. **[Observed versus latent features for knowledge base and text inference](https://md.research.elamur.ai/free/en/papers/toutanova-2015-observed-versus-latent-features-knowledge/) [Workshop on Continuous Vector Space Models and their Compositionality](https://md.research.elamur.ai/free/en/venues/workshop-on-continuous-vector-space-models-and-their-compositionality/)**Kristina Toutanova, Danqi Chen*2015 · 1,238 citations*
25. [**Publicly Available Clinical BERT Embeddings arXiv:1904.03323**Emily Alsentzer, John R. Murphy, Willie Boag, et al.*2019 · 1,226 citations*](https://md.research.elamur.ai/free/en/papers/alsentzer-2019-publicly-available-clinical-bert-embeddings/)

[See all 240 works at Microsoft →](https://md.research.elamur.ai/free/en/companies/microsoft/works/)

## Works by year

### 2020s

[**2026** 1 work Works of Microsoft from 2026](https://md.research.elamur.ai/free/en/papers/proietti-2026-pear-pairwise-evaluation-automatic-relative/) · [**2025** 6 works Works of Microsoft from 2025](https://md.research.elamur.ai/free/en/companies/microsoft/year/2025/) · [**2024** 20 works Works of Microsoft from 2024](https://md.research.elamur.ai/free/en/companies/microsoft/year/2024/) · [**2023** 45 works Works of Microsoft from 2023](https://md.research.elamur.ai/free/en/companies/microsoft/year/2023/) · [**2022** 19 works Works of Microsoft from 2022](https://md.research.elamur.ai/free/en/companies/microsoft/year/2022/) · [**2021** 16 works Works of Microsoft from 2021](https://md.research.elamur.ai/free/en/companies/microsoft/year/2021/) · [**2020** 32 works Works of Microsoft from 2020](https://md.research.elamur.ai/free/en/companies/microsoft/year/2020/)

### 2010s

[**2019** 28 works Works of Microsoft from 2019](https://md.research.elamur.ai/free/en/companies/microsoft/year/2019/) · [**2018** 10 works Works of Microsoft from 2018](https://md.research.elamur.ai/free/en/companies/microsoft/year/2018/) · [**2017** 7 works Works of Microsoft from 2017](https://md.research.elamur.ai/free/en/companies/microsoft/year/2017/) · [**2016** 8 works Works of Microsoft from 2016](https://md.research.elamur.ai/free/en/companies/microsoft/year/2016/) · [**2015** 10 works Works of Microsoft from 2015](https://md.research.elamur.ai/free/en/companies/microsoft/year/2015/) · [**2014** 7 works Works of Microsoft from 2014](https://md.research.elamur.ai/free/en/companies/microsoft/year/2014/) · [**2013** 2 works Works of Microsoft from 2013](https://md.research.elamur.ai/free/en/companies/microsoft/year/2013/) · [**2012** 2 works Works of Microsoft from 2012](https://md.research.elamur.ai/free/en/companies/microsoft/year/2012/) · [**2011** 4 works Works of Microsoft from 2011](https://md.research.elamur.ai/free/en/companies/microsoft/year/2011/) · [**2010** 3 works Works of Microsoft from 2010](https://md.research.elamur.ai/free/en/companies/microsoft/year/2010/)

### 2000s

[**2009** 3 works Works of Microsoft from 2009](https://md.research.elamur.ai/free/en/companies/microsoft/year/2009/) · [**2008** 5 works Works of Microsoft from 2008](https://md.research.elamur.ai/free/en/companies/microsoft/year/2008/) · [**2006** 1 work Works of Microsoft from 2006](https://md.research.elamur.ai/free/en/papers/brockett-2006-correcting-esl-errors-phrasal-smt/) · [**2005** 4 works Works of Microsoft from 2005](https://md.research.elamur.ai/free/en/companies/microsoft/year/2005/) · [**2004** 1 work Works of Microsoft from 2004](https://md.research.elamur.ai/free/en/papers/ringger-2004-penn-treebank-evaluate-non-treebank/) · [**2003** 1 work Works of Microsoft from 2003](https://md.research.elamur.ai/free/en/papers/smets-2003-high-quality-machine-translation-machine/) · [**2002** 2 works Works of Microsoft from 2002](https://md.research.elamur.ai/free/en/companies/microsoft/year/2002/) · [**2001** 1 work Works of Microsoft from 2001](https://md.research.elamur.ai/free/en/papers/banko-2001-scaling-very-very-large-corpora/) · [**2000** 1 work Works of Microsoft from 2000](https://md.research.elamur.ai/free/en/papers/brill-2000-improved-error-model-noisy-channel/)

### 1990s

[**1995** 1 work Works of Microsoft from 1995](https://md.research.elamur.ai/free/en/papers/dale-1995-computational-interpretations-gricean-maxims-generation/)

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 33 The field of science this work belongs to (OpenAlex fields).[Computer Science · 239 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 231 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 217 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 217 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 59 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 23 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Social Sciences · 12 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Mathematics · 10 works](https://md.research.elamur.ai/free/en/shelves/mathematics/) · [Biochemistry, Genetics and Molecular Biology · 5 works](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/) · [Molecular Biology · 5 works](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/molecular-biology/) · [Safety Research · 7 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Human-Computer Interaction · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/human-computer-interaction/) · [Computational Theory and Mathematics · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Control and Systems Engineering · 2 works](https://md.research.elamur.ai/free/en/shelves/engineering/control-and-systems-engineering/) · [Engineering · 2 works](https://md.research.elamur.ai/free/en/shelves/engineering/)+18 more

🧭 Topics 33 Research subjects and languages the work is about.[Language models & pretraining · 68 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Machine translation · 36 works](https://md.research.elamur.ai/free/en/topics/machine-translation/) · [Vision & language · 11 works](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Evaluation & benchmarks · 26 works](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Reasoning · 14 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Knowledge graphs & ontologies · 10 works](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) · [Information retrieval & search · 11 works](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Dialogue systems · 10 works](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Question answering · 12 works](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Summarization · 9 works](https://md.research.elamur.ai/free/en/topics/summarization/) · [Multilingual & cross-lingual NLP · 14 works](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Code & programming languages · 4 works](https://md.research.elamur.ai/free/en/topics/code-and-programming/) · [Text generation · 8 works](https://md.research.elamur.ai/free/en/topics/text-generation/) · [Bias, fairness & safety · 4 works](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Efficient models & compression · 5 works](https://md.research.elamur.ai/free/en/topics/efficient-models/)+18 more

💡 Concepts 11 Key ideas and methods explained on our concept pages.[Knowledge representation and reasoning · 6 works](https://md.research.elamur.ai/free/en/concepts/knowledge-representation/) · [Word embeddings · 1 work](https://md.research.elamur.ai/free/en/concepts/word-embeddings/) · [Language model · 1 work](https://md.research.elamur.ai/free/en/concepts/language-model/) · [Semantic parsing · 2 works](https://md.research.elamur.ai/free/en/concepts/semantic-parsing/) · [Semantic role labeling · 2 works](https://md.research.elamur.ai/free/en/concepts/semantic-role-labeling/) · [Transformer and attention · 1 work](https://md.research.elamur.ai/free/en/concepts/transformer/) · [Part-of-speech tagging · 1 work](https://md.research.elamur.ai/free/en/concepts/part-of-speech-tagging/) · [Implicature · 1 work](https://md.research.elamur.ai/free/en/concepts/implicature/) · [Subword tokenization · 1 work](https://md.research.elamur.ai/free/en/concepts/subword-tokenization/) · [Lexicography · 1 work](https://md.research.elamur.ai/free/en/concepts/lexicography/) · [Ontology engineering · 1 work](https://md.research.elamur.ai/free/en/concepts/ontology-engineering/)

## Collaborates with

Institutions on the bylines of the same works here, the most works shared first.

1. **[Carnegie Mellon University](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/)***20 works shared*
2. **[University of Washington](https://md.research.elamur.ai/free/en/universities/university-of-washington/)***17 works shared*
3. **[Johns Hopkins University](https://md.research.elamur.ai/free/en/universities/johns-hopkins-university/)***16 works shared*
4. **[Microsoft Research Asia](https://md.research.elamur.ai/free/en/companies/microsoft-research-asia/)***15 works shared*
5. **[University of Edinburgh](https://md.research.elamur.ai/free/en/universities/university-of-edinburgh/)***13 works shared*
6. **[Tsinghua University](https://md.research.elamur.ai/free/en/universities/tsinghua-university/)***13 works shared*
7. **[University of Illinois Urbana-Champaign](https://md.research.elamur.ai/free/en/universities/university-of-illinois-urbana-champaign/)***11 works shared*
8. **[Google](https://md.research.elamur.ai/free/en/companies/google/)***10 works shared*
9. **[Stanford University](https://md.research.elamur.ai/free/en/universities/stanford-university/)***10 works shared*
10. **[University of Amsterdam](https://md.research.elamur.ai/free/en/universities/university-of-amsterdam/)***9 works shared*
11. **[Allen Institute for Artificial Intelligence](https://md.research.elamur.ai/free/en/labs/allen-institute-for-artificial-intelligence/)***8 works shared*
12. **[Peking University](https://md.research.elamur.ai/free/en/universities/peking-university/)***8 works shared*

## Parent and units

**Units** [Microsoft Research Asia](https://md.research.elamur.ai/free/en/companies/microsoft-research-asia/) [Microsoft Research](https://md.research.elamur.ai/free/en/companies/microsoft-research/) [Microsoft (India)](https://md.research.elamur.ai/free/en/companies/microsoft-india/) [Microsoft Research (United Kingdom)](https://md.research.elamur.ai/free/en/companies/microsoft-research-united-kingdom/) [Microsoft Research Montréal](https://md.research.elamur.ai/free/en/companies/microsoft-research-montreal/) [Microsoft (Germany)](https://md.research.elamur.ai/free/en/companies/microsoft-germany/) [Microsoft (United Kingdom)](https://md.research.elamur.ai/free/en/companies/microsoft-united-kingdom/) LinkedIn Microsoft (Belgium) Microsoft (Canada) Microsoft (Denmark) Microsoft (Finland) Microsoft (France) Microsoft (Ireland) Microsoft (Israel) Microsoft (Netherlands) Microsoft (Norway) Microsoft (Portugal) Microsoft (Singapore) Microsoft (Switzerland) Microsoft Research New England Microsoft Research New York City (United States)

From the Research Organization Registry (ROR); those with a page here are linked.

Works and people from the bylines of the papers (OpenAlex): a person listed here worked or studied at Microsoft; employment or education is named only where the person's ORCID record or Wikidata says so. Institution data from ROR and OpenAlex.

Updated 24 October 2026