---
title: "Allen Institute for Artificial Intelligence — research"
description: "Allen Institute for Artificial Intelligence (Seattle, United States): 169 works on the Elamur Research site, 99 people with a page, 65,355 citations; its…"
canonical: "https://research.elamur.ai/free/en/labs/allen-institute-for-artificial-intelligence/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/labs/allen-institute-for-artificial-intelligence/)

[home](https://md.research.elamur.ai/free/en/) / [institutions](https://md.research.elamur.ai/free/en/orgs/) / [labs](https://md.research.elamur.ai/free/en/labs/) / Allen Institute for Artificial Intelligence

# Allen Institute for Artificial Intelligence

Research institute · AI2 [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://allenai.org/)
- [ROR](https://ror.org/05w520734)
- [OpenAlex](https://openalex.org/I4210156221)

[**169** works in our library](https://md.research.elamur.ai/free/en/labs/allen-institute-for-artificial-intelligence/works/) · [**189** people with a page](https://md.research.elamur.ai/free/en/labs/allen-institute-for-artificial-intelligence/authors/) · [**65,355** citations of these works](https://md.research.elamur.ai/free/en/labs/allen-institute-for-artificial-intelligence/works/) · [**30,489** citations in our library](https://md.research.elamur.ai/free/en/labs/allen-institute-for-artificial-intelligence/works/)

## People (189)

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

### Core (99)

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

- [Yejin Choi](https://md.research.elamur.ai/free/en/authors/yejin-choi/) — 2018–2025 on 178 papers · employment (ORCID) · 48 papers here · 27,882 citations
- [Noah A. Smith](https://md.research.elamur.ai/free/en/authors/noah-a-smith/) — 2018–2025 on 151 papers · employment (ORCID) · employment (Wikidata) · 61 papers here · 27,685 citations
- [Hannaneh Hajishirzi](https://md.research.elamur.ai/free/en/authors/hannaneh-hajishirzi/) — current · 2015–2026 on 121 papers · 36 papers here · 20,600 citations
- [Yoav Goldberg](https://md.research.elamur.ai/free/en/authors/yoav-goldberg/) — current · 2018–2026 on 117 papers · employment (Wikidata) · 48 papers here · 17,415 citations
- [Rowan Zellers](https://md.research.elamur.ai/free/en/authors/rowan-zellers/) — 2018–2022 on 10 papers · 5 papers here · 17,217 citations
- [Matthew Peters](https://md.research.elamur.ai/free/en/authors/matthew-peters/) — current · 2017–2024 on 35 papers · 11 papers here · 6,985 citations
- [Arman Cohan](https://md.research.elamur.ai/free/en/authors/arman-cohan/) — 2018–2025 on 83 papers · 13 papers here · 9,041 citations
- [Kyle Lo](https://md.research.elamur.ai/free/en/authors/kyle-lo/) — current · 2018–2026 on 113 papers · employment (ORCID) · employment (Wikidata) · 9 papers here · 7,387 citations
- [Iz Beltagy](https://md.research.elamur.ai/free/en/authors/iz-beltagy/) — current · 2018–2024 on 53 papers · 11 papers here · 7,120 citations
- [Matt Gardner](https://md.research.elamur.ai/free/en/authors/matt-gardner/) — 2017–2023 on 75 papers · 18 papers here · 8,147 citations
- [Ali Farhadi](https://md.research.elamur.ai/free/en/authors/ali-farhadi/) — current · 2015–2026 on 62 papers · 7 papers here · 9,418 citations
- [Maarten Sap](https://md.research.elamur.ai/free/en/authors/maarten-sap/) — current · 2018–2026 on 41 papers · employment (ORCID) · employment (Wikidata) · 12 papers here · 9,429 citations
- [Ranjay Krishna](https://md.research.elamur.ai/free/en/authors/ranjay-krishna/) — current · 2023–2026 on 32 papers · 3 papers here · 10,552 citations
- [Daniel S. Weld](https://md.research.elamur.ai/free/en/authors/daniel-s-weld/) — current · 2019–2026 on 72 papers · 9 papers here · 9,423 citations
- [Vicente Ordonez](https://md.research.elamur.ai/free/en/authors/vicente-ordonez/) — 2016–2017 on 5 papers · 4 papers here · 8,650 citations
- [Ashish Sabharwal](https://md.research.elamur.ai/free/en/authors/ashish-sabharwal/) — current · 2014–2026 on 116 papers · 9 papers here · 5,510 citations
- [Ronan Le Bras](https://md.research.elamur.ai/free/en/authors/ronan-le-bras/) — 2017–2025 on 48 papers · 12 papers here · 6,586 citations
- [Oyvind Tafjord](https://md.research.elamur.ai/free/en/authors/oyvind-tafjord/) — current · 2016–2026 on 38 papers · 7 papers here · 4,812 citations
- [Tushar Khot](https://md.research.elamur.ai/free/en/authors/tushar-khot/) — 2015–2025 on 58 papers · 8 papers here · 5,409 citations
- [Eric Wallace](https://md.research.elamur.ai/free/en/authors/eric-wallace/) — 2019 on 7 papers · 12 papers here · 11,062 citations
- [Oren Etzioni](https://md.research.elamur.ai/free/en/authors/oren-etzioni/) — 2014–2023 on 40 papers · 8 papers here · 8,027 citations
- [Chandra Bhagavatula](https://md.research.elamur.ai/free/en/authors/chandra-bhagavatula/) — 2017–2024 on 52 papers · employment (ORCID) · employment (Wikidata) · 11 papers here · 4,559 citations
- [Mark Yatskar](https://md.research.elamur.ai/free/en/authors/mark-yatskar/) — 2018–2021 on 15 papers · 9 papers here · 6,236 citations
- [Hannah Rashkin](https://md.research.elamur.ai/free/en/authors/hannah-rashkin/) — 2018–2022 on 8 papers · 6 papers here · 5,599 citations
- [Pradeep Dasigi](https://md.research.elamur.ai/free/en/authors/pradeep-dasigi/) — current · 2019–2026 on 47 papers · employment (ORCID) · 9 papers here · 5,341 citations

**Also published with this affiliation (90)**

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

- [Ross Girshick](https://md.research.elamur.ai/free/en/authors/ross-girshick/) — current · 2025 on 1 paper · 10 papers here · 125,678 citations
- [Luke Zettlemoyer](https://md.research.elamur.ai/free/en/authors/luke-zettlemoyer/) — 2017–2025 on 21 papers · 69 papers here · 48,223 citations
- [Percy Liang](https://md.research.elamur.ai/free/en/authors/percy-liang/) — 2018 on 2 papers · 32 papers here · 38,678 citations
- [Wen-tau Yih](https://md.research.elamur.ai/free/en/authors/wen-tau-yih/) — 2018–2023 on 18 papers · 23 papers here · 18,202 citations
- [Luheng He](https://md.research.elamur.ai/free/en/authors/luheng-he/) — 2017–2019 on 2 papers · 10 papers here · 12,643 citations
- [Sebastian Ruder](https://md.research.elamur.ai/free/en/authors/sebastian-ruder/) — 2019–2024 on 3 papers · 19 papers here · 16,227 citations
- [Machel Reid](https://md.research.elamur.ai/free/en/authors/machel-reid/) — 2023–2024 on 2 papers · 2 papers here · 9,524 citations
- [Kenton Lee](https://md.research.elamur.ai/free/en/authors/kenton-lee/) — 2017–2021 on 4 papers · 13 papers here · 11,852 citations
- [Tom Kwiatkowski](https://md.research.elamur.ai/free/en/authors/tom-kwiatkowski/) — 2014–2019 on 2 papers · 11 papers here · 13,028 citations
- [Jianfeng Gao](https://md.research.elamur.ai/free/en/authors/jianfeng-gao/) — 2019–2021 on 2 papers · 31 papers here · 30,685 citations
- [Ludwig Schmidt](https://md.research.elamur.ai/free/en/authors/ludwig-schmidt/) — 2022–2023 on 2 papers · 5 papers here · 7,451 citations
- [Nelson F. Liu](https://md.research.elamur.ai/free/en/authors/nelson-f-liu/) — 2019–2022 on 4 papers · 7 papers here · 7,322 citations
- [Yi Luan](https://md.research.elamur.ai/free/en/authors/yi-luan/) — 2019–2022 on 2 papers · 9 papers here · 8,416 citations
- [Nora Kassner](https://md.research.elamur.ai/free/en/authors/nora-kassner/) — 2021–2023 on 2 papers · 3 papers here · 6,152 citations
- [Sewon Min](https://md.research.elamur.ai/free/en/authors/sewon-min/) — current · 2017–2026 on 15 papers · 11 papers here · 11,266 citations
- [Caiming Xiong](https://md.research.elamur.ai/free/en/authors/caiming-xiong/) — 2022–2023 on 2 papers · 21 papers here · 16,209 citations
- [Niklas Muennighoff](https://md.research.elamur.ai/free/en/authors/niklas-muennighoff/) — 2025 on 3 papers · 9 papers here · 7,711 citations
- [Matan Eyal](https://md.research.elamur.ai/free/en/authors/matan-eyal/) — 2020–2022 on 3 papers · 2 papers here · 5,643 citations
- [Amanpreet Singh](https://md.research.elamur.ai/free/en/authors/amanpreet-singh/) — current · 2022–2026 on 5 papers · 5 papers here · 10,493 citations
- [Emma Strubell](https://md.research.elamur.ai/free/en/authors/emma-strubell/) — 2023–2024 on 13 papers · 4 papers here · 5,729 citations
- [Sneha Kudugunta](https://md.research.elamur.ai/free/en/authors/sneha-kudugunta/) — 2023–2024 on 2 papers · 2 papers here · 4,423 citations
- [Hamid Palangi](https://md.research.elamur.ai/free/en/authors/hamid-palangi/) — 2022 on 2 papers · 4 papers here · 3,574 citations
- [Yuntian Deng](https://md.research.elamur.ai/free/en/authors/yuntian-deng/) — 2023–2024 on 2 papers · 4 papers here · 4,026 citations
- [Sameer Singh](https://md.research.elamur.ai/free/en/authors/sameer-singh/) — 2020–2022 on 11 papers · 14 papers here · 8,012 citations
- [Reut Tsarfaty](https://md.research.elamur.ai/free/en/authors/reut-tsarfaty/) — 2019–2022 on 13 papers · 36 papers here · 4,460 citations

The first 25; all on the full list below.

[See all 189 people →](https://md.research.elamur.ai/free/en/labs/allen-institute-for-artificial-intelligence/authors/)

## Works in our library (169)

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

- [SciBERT: A Pretrained Language Model for Scientific Text](https://md.research.elamur.ai/free/en/papers/beltagy-2019-scibert-pretrained-language-model-scientific/) — Iz Beltagy, Kyle Lo, Arman Cohan · 2019 · 3,548 citations
- [TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension](https://md.research.elamur.ai/free/en/papers/joshi-2017-triviaqa-large-scale-distantly-supervised/) — Mandar Joshi, Eunsol Choi, Daniel Weld, et al. · 2017 · 3,204 citations
- [SpanBERT: Improving Pre-training by Representing and Predicting Spans](https://md.research.elamur.ai/free/en/papers/joshi-2019-spanbert-improving-pre-training-representing/) — Mandar Joshi, Danqi Chen, Yinhan Liu, et al. · 2019 · 2,580 citations
- [VisualBERT: A Simple and Performant Baseline for Vision and Language](https://md.research.elamur.ai/free/en/papers/li-2019-visualbert-simple-performant-baseline-vision/) — Liunian Harold Li, Mark Yatskar, Da Yin, et al. · 2019 · 1,510 citations
- [Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?](https://md.research.elamur.ai/free/en/papers/min-2022-rethinking-role-demonstrations-what-makes/) — Sewon Min, Xinxi Lyu, Ari Holtzman, et al. · 2022 · 1,423 citations
- [COMET: Commonsense Transformers for Automatic Knowledge Graph Construction](https://md.research.elamur.ai/free/en/papers/bosselut-2019-comet-commonsense-transformers-automatic-knowledge/) — Antoine Bosselut, Hannah Rashkin, Maarten Sap, et al. · 2019 · 1,282 citations
- [RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models](https://md.research.elamur.ai/free/en/papers/gehman-2020-realtoxicityprompts-evaluating-neural-toxic-degeneration/) — Samuel Gehman, Suchin Gururangan, Maarten Sap, et al. · 2020 · 1,277 citations
- [End-to-end Neural Coreference Resolution](https://md.research.elamur.ai/free/en/papers/lee-2017-end-end-neural-coreference-resolution/) — Kenton Lee, Luheng He, Mike Lewis, et al. · 2017 · 1,277 citations
- [PIQA: Reasoning about Physical Commonsense in Natural Language](https://md.research.elamur.ai/free/en/papers/bisk-2019-piqa-reasoning-about-physical-commonsense/) — Yonatan Bisk, Rowan Zellers, Ronan Le Bras, et al. · 2019 · 1,218 citations
- [Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods](https://md.research.elamur.ai/free/en/papers/zhao-2018-gender-bias-coreference-resolution-evaluation/) — Jieyu Zhao, Tianlu Wang, Mark Yatskar, et al. · 2018 · 1,186 citations
- [The Risk of Racial Bias in Hate Speech Detection](https://md.research.elamur.ai/free/en/papers/sap-2019-risk-racial-bias-hate-speech/) — Maarten Sap, Dallas Card, Saadia Gabriel, et al. · 2019 · 1,148 citations
- [QuAC: Question Answering in Context](https://md.research.elamur.ai/free/en/papers/choi-2018-quac-question-answering-context/) — Eunsol Choi, He He, Mohit Iyyer, et al. · 2018 · 1,057 citations
- [Linguistic Knowledge and Transferability of Contextual Representations](https://md.research.elamur.ai/free/en/papers/liu-2019-linguistic-knowledge-transferability-contextual-representations/) — Nelson F. Liu, Matt Gardner, Yonatan Belinkov, et al. · 2019 · 1,011 citations
- [FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation](https://md.research.elamur.ai/free/en/papers/min-2023-factscore-fine-grained-atomic-evaluation/) — Sewon Min, Kalpesh Krishna, Xinxi Lyu, et al. · 2023 · 970 citations
- [Adversarial Example Generation with Syntactically Controlled Paraphrase Networks](https://md.research.elamur.ai/free/en/papers/iyyer-2018-adversarial-example-generation-syntactically-controlled/) — Mohit Iyyer, John Wieting, Kevin Gimpel, et al. · 2018 · 936 citations
- [Is Attention Interpretable?](https://md.research.elamur.ai/free/en/papers/serrano-2019-is-attention-interpretable/) — Sofia Serrano, Noah A. Smith · 2019 · 885 citations
- [UNIFIEDQA: Crossing Format Boundaries with a Single QA System](https://md.research.elamur.ai/free/en/papers/khashabi-2020-unifiedqa-crossing-format-boundaries-single/) — Daniel Khashabi, Sewon Min, Tushar Khot, et al. · 2020 · 843 citations
- [Entity, Relation, and Event Extraction with Contextualized Span Representations](https://md.research.elamur.ai/free/en/papers/wadden-2019-entity-relation-event-extraction-contextualized/) — David Wadden, Ulme Wennberg, Yi Luan, et al. · 2019 · 818 citations
- [Semi-supervised sequence tagging with bidirectional language models](https://md.research.elamur.ai/free/en/papers/peters-2017-semi-supervised-sequence-tagging-bidirectional/) — Matthew E. Peters, Waleed Ammar, Chandra Bhagavatula, et al. · 2017 · 786 citations
- [Towards Faithfully Interpretable NLP Systems: How Should We Define and Evaluate Faithfulness?](https://md.research.elamur.ai/free/en/papers/jacovi-2020-faithfully-interpretable-nlp-systems-how/) — Alon Jacovi, Yoav Goldberg · 2020 · 747 citations
- [ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks](https://md.research.elamur.ai/free/en/papers/shridhar-2019-alfred-benchmark-interpreting-grounded-instructions/) — Mohit Shridhar; Jesse Thomason; Daniel Gordon; Yonatan Bisk; Winson Han; Roozbeh Mottaghi; Luke Zettlemoyer;, Dieter Fox · 2019 · 724 citations
- [Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions](https://md.research.elamur.ai/free/en/papers/trivedi-2022-interleaving-retrieval-chain-thought-reasoning/) — Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, et al. · 2022 · 711 citations
- [Fact or Fiction: Verifying Scientific Claims](https://md.research.elamur.ai/free/en/papers/wadden-2020-fact-or-fiction-verifying-scientific/) — David Wadden, Shanchuan Lin, Kyle Lo, et al. · 2020 · 706 citations
- [SPECTER: Document-level Representation Learning using Citation-informed Transformers](https://md.research.elamur.ai/free/en/papers/cohan-2020-specter-document-level-representation-learning/) — Arman Cohan, Sergey Feldman, Iz Beltagy, et al. · 2020 · 690 citations
- [CORD-19: The COVID-19 Open Research Dataset](https://md.research.elamur.ai/free/en/papers/wang-2020-cord-19-covid-19-open/) — Lucy Lu Wang, Kyle Lo, Yoganand Chandrasekhar, et al. · 2020 · 685 citations

[See all 169 works →](https://md.research.elamur.ai/free/en/labs/allen-institute-for-artificial-intelligence/works/)

## Topics

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

[Language models & pretraining (39)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning (26)](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Question answering (20)](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Coreference resolution (11)](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) · [Evaluation & benchmarks (11)](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Bias, fairness & safety (11)](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Multilingual & cross-lingual NLP (6)](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Summarization (5)](https://md.research.elamur.ai/free/en/topics/summarization/) · [Idioms & multiword expressions (5)](https://md.research.elamur.ai/free/en/topics/multiword-expressions/) · [Dialogue systems (4)](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Hebrew & Aramaic (4)](https://md.research.elamur.ai/free/en/topics/hebrew-aramaic/) · [Semitic languages (4)](https://md.research.elamur.ai/free/en/topics/semitic-languages/) · [Vision & language (4)](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Semantic role labeling (3)](https://md.research.elamur.ai/free/en/topics/semantic-role-labeling/) · [Information extraction (3)](https://md.research.elamur.ai/free/en/topics/information-extraction/)

**18 more topics**

[Sentiment & emotion (3)](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Morphology (3)](https://md.research.elamur.ai/free/en/topics/morphology/) · [Knowledge graphs & ontologies (3)](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) · [Information retrieval & search (3)](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Semantic parsing & meaning representation (3)](https://md.research.elamur.ai/free/en/topics/semantic-parsing/) · [Interpretability (3)](https://md.research.elamur.ai/free/en/topics/interpretability/) · [Discourse analysis (2)](https://md.research.elamur.ai/free/en/topics/discourse-analysis/) · [Implicature (2)](https://md.research.elamur.ai/free/en/topics/implicature/) · [Text generation (2)](https://md.research.elamur.ai/free/en/topics/text-generation/) · [Tokenization & segmentation (2)](https://md.research.elamur.ai/free/en/topics/tokenization/) · [Efficient models & compression (2)](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Named entity recognition (1)](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/) · [Word sense disambiguation (1)](https://md.research.elamur.ai/free/en/topics/word-sense-disambiguation/) · [Universal Dependencies (1)](https://md.research.elamur.ai/free/en/topics/universal-dependencies/) · [Part-of-speech tagging (1)](https://md.research.elamur.ai/free/en/topics/part-of-speech-tagging/) · [Machine translation (1)](https://md.research.elamur.ai/free/en/topics/machine-translation/) · [Code & programming languages (1)](https://md.research.elamur.ai/free/en/topics/code-and-programming/) · [Historical linguistics & language change (1)](https://md.research.elamur.ai/free/en/topics/language-change/)

## Fields

[Natural language processing (90)](https://md.research.elamur.ai/free/en/shelves/nlp/) · [Linguistics & languages (39)](https://md.research.elamur.ai/free/en/shelves/linguistics/) · [AI & machine learning (13)](https://md.research.elamur.ai/free/en/shelves/ai/) · [Mathematics & statistics (11)](https://md.research.elamur.ai/free/en/shelves/mathematics/) · [Machine translation (6)](https://md.research.elamur.ai/free/en/shelves/machine-translation/) · [Computing & GPUs (1)](https://md.research.elamur.ai/free/en/shelves/computing/)

## Collaborates with

Institutions on the bylines of the same works here; the number is the works they share.

[University of Washington 97](https://md.research.elamur.ai/free/en/universities/university-of-washington/) [Bar-Ilan University 24](https://md.research.elamur.ai/free/en/universities/bar-ilan-university/) [Carnegie Mellon University 17](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) [Stanford University 12](https://md.research.elamur.ai/free/en/universities/stanford-university/) [Google 11](https://md.research.elamur.ai/free/en/companies/google/) [Meta 11](https://md.research.elamur.ai/free/en/companies/meta/) [Tel Aviv University 10](https://md.research.elamur.ai/free/en/universities/tel-aviv-university/) [Massachusetts Institute of Technology 8](https://md.research.elamur.ai/free/en/universities/massachusetts-institute-of-technology/) [Microsoft 7](https://md.research.elamur.ai/free/en/companies/microsoft/) [University of California, Los Angeles 6](https://md.research.elamur.ai/free/en/universities/university-of-california-los-angeles/) [Georgia Institute of Technology 6](https://md.research.elamur.ai/free/en/universities/georgia-institute-of-technology/) [Princeton University 5](https://md.research.elamur.ai/free/en/universities/princeton-university/)

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