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# Findings of the Association for Computational Linguistics 2021 — accepted papers

Findings of the Association for Computational Linguistics 2021 is the 2021 edition of the Findings of the Association for Computational Linguistics, held in Online, August 2021 (publisher: Association for Computational Linguistics). The ACL Anthology lists 881 papers of it; our library holds 50 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

[**881** papers in the proceedings](#all) · [**50** works in our library](https://md.research.elamur.ai/free/en/venues/findings/2021/works/) · [**6,983** citations of these works](https://md.research.elamur.ai/free/en/venues/findings/2021/works/)**Online** where it was held**August 2021** when

## Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. **[A Survey of Data Augmentation Approaches for NLP](https://md.research.elamur.ai/free/en/papers/feng-2021-survey-data-augmentation-approaches-nlp/)**Steven Y. Feng, Varun Gangal, Jason Wei et al.*670 citations · our summary*
2. **[Retrieval Augmentation Reduces Hallucination in Conversation](https://aclanthology.org/2021.findings-emnlp.320/)**Kurt Shuster, Spencer Poff, Moya Chen et al.*552 citations*
3. **[K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters](https://md.research.elamur.ai/free/en/papers/wang-2020-k-adapter-infusing-knowledge-pre/)**Ruize Wang, Duyu Tang, Nan Duan et al.*456 citations · our summary*
4. **[Template-Based Named Entity Recognition Using BART](https://md.research.elamur.ai/free/en/papers/cui-2021-template-based-named-entity-recognition/)**Leyang Cui, Yu Wu, Jian Liu et al.*314 citations · our summary*
5. **[Multimodal Fusion with Co-Attention Networks for Fake News Detection](https://aclanthology.org/2021.findings-acl.226/)**Yang Wu, Pengwei Zhan, Yunjian Zhang et al.*309 citations*
6. **[MiniLMv2: Multi-Head Self-Attention Relation Distillation for Compressing Pretrained Transformers](https://aclanthology.org/2021.findings-acl.188/)**Wenhui Wang, Hangbo Bao, Shaohan Huang et al.*257 citations*
7. **[REBEL: Relation Extraction By End-to-end Language generation](https://aclanthology.org/2021.findings-emnlp.204/)**Pere-Lluís Huguet Cabot, Roberto Navigli*242 citations*
8. **[XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages](https://aclanthology.org/2021.findings-acl.413/)**Tahmid Hasan, Abhik Bhattacharjee, Md. Saiful Islam et al.*224 citations*
9. **[BertGCN: Transductive Text Classification by Combining GNN and BERT](https://aclanthology.org/2021.findings-acl.126/)**Yuxiao Lin, Yuxian Meng, Xiaofei Sun et al.*214 citations*
10. **[GeDi: Generative Discriminator Guided Sequence Generation](https://md.research.elamur.ai/free/en/papers/krause-2021-gedi-generative-discriminator-guided-sequence/)**Ben Krause, Akhilesh Deepak Gotmare, Bryan McCann et al.*212 citations · our summary*

## All accepted papers (881)

The most cited first; 50 with our summary link to their page here, the others to the original.

1. **[A Survey of Data Augmentation Approaches for NLP](https://md.research.elamur.ai/free/en/papers/feng-2021-survey-data-augmentation-approaches-nlp/)**Steven Y. Feng, Varun Gangal, Jason Wei et al.*670 citations · our summary*
2. **[Retrieval Augmentation Reduces Hallucination in Conversation](https://aclanthology.org/2021.findings-emnlp.320/)**Kurt Shuster, Spencer Poff, Moya Chen et al.*552 citations*
3. **[K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters](https://md.research.elamur.ai/free/en/papers/wang-2020-k-adapter-infusing-knowledge-pre/)**Ruize Wang, Duyu Tang, Nan Duan et al.*456 citations · our summary*
4. **[Template-Based Named Entity Recognition Using BART](https://md.research.elamur.ai/free/en/papers/cui-2021-template-based-named-entity-recognition/)**Leyang Cui, Yu Wu, Jian Liu et al.*314 citations · our summary*
5. **[Multimodal Fusion with Co-Attention Networks for Fake News Detection](https://aclanthology.org/2021.findings-acl.226/)**Yang Wu, Pengwei Zhan, Yunjian Zhang et al.*309 citations*
6. **[MiniLMv2: Multi-Head Self-Attention Relation Distillation for Compressing Pretrained Transformers](https://aclanthology.org/2021.findings-acl.188/)**Wenhui Wang, Hangbo Bao, Shaohan Huang et al.*257 citations*
7. **[REBEL: Relation Extraction By End-to-end Language generation](https://aclanthology.org/2021.findings-emnlp.204/)**Pere-Lluís Huguet Cabot, Roberto Navigli*242 citations*
8. **[XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages](https://aclanthology.org/2021.findings-acl.413/)**Tahmid Hasan, Abhik Bhattacharjee, Md. Saiful Islam et al.*224 citations*
9. **[BertGCN: Transductive Text Classification by Combining GNN and BERT](https://aclanthology.org/2021.findings-acl.126/)**Yuxiao Lin, Yuxian Meng, Xiaofei Sun et al.*214 citations*
10. **[GeDi: Generative Discriminator Guided Sequence Generation](https://md.research.elamur.ai/free/en/papers/krause-2021-gedi-generative-discriminator-guided-sequence/)**Ben Krause, Akhilesh Deepak Gotmare, Bryan McCann et al.*212 citations · our summary*
11. **[Want To Reduce Labeling Cost? GPT-3 Can Help](https://md.research.elamur.ai/free/en/papers/wang-2021-want-reduce-labeling-cost-gpt/)**Shuohang Wang, Yang Liu, Yichong Xu et al.*170 citations · our summary*
12. **[Contrastive Attention for Automatic Chest X-ray Report Generation](https://aclanthology.org/2021.findings-acl.23/)**Fenglin Liu, Changchang Yin, Xian Wu et al.*157 citations*
13. **[AEDA: An Easier Data Augmentation Technique for Text Classification](https://aclanthology.org/2021.findings-emnlp.234/)**Akbar Karimi, Leonardo Rossi, Andrea Prati*154 citations*
14. **[DialogSum: A Real-Life Scenario Dialogue Summarization Dataset](https://md.research.elamur.ai/free/en/papers/chen-2021-dialogsum-real-life-scenario-dialogue/)**Yulong Chen, Yang Liu, Liang Chen et al.*150 citations · our summary*
15. **[GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation](https://md.research.elamur.ai/free/en/papers/yoo-2021-gpt3mix-leveraging-large-scale-language/)**Kang Min Yoo, Dongju Park, Jaewook Kang et al.*149 citations · our summary*
16. **[Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society](https://aclanthology.org/2021.findings-emnlp.56/)**Firoj Alam, Shaden Shaar, Fahim Dalvi et al.*132 citations*
17. **[MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets](https://md.research.elamur.ai/free/en/papers/pramanick-2021-momenta-multimodal-framework-detecting-harmful/)**Shraman Pramanick, Shivam Sharma, Dimitar Dimitrov et al.*131 citations · our summary*
18. **[Retrieval Augmented Code Generation and Summarization](https://md.research.elamur.ai/free/en/papers/parvez-2021-retrieval-augmented-code-generation-summarization/)**Md Rizwan Parvez, Wasi Ahmad, Saikat Chakraborty et al.*128 citations · our summary*
19. **[MRN: A Locally and Globally Mention-Based Reasoning Network for Document-Level Relation Extraction](https://aclanthology.org/2021.findings-acl.117/)**Jingye Li, Kang Xu, Fei Li et al.*125 citations*
20. **[TSDAE: Using Transformer-based Sequential Denoising Auto-Encoderfor Unsupervised Sentence Embedding Learning](https://aclanthology.org/2021.findings-emnlp.59/)**Kexin Wang, Nils Reimers, Iryna Gurevych*125 citations*
21. **[Detecting Hallucinated Content in Conditional Neural Sequence Generation](https://md.research.elamur.ai/free/en/papers/zhou-2021-detecting-hallucinated-content-conditional-neural/)**Chunting Zhou, Graham Neubig, Jiatao Gu et al.*121 citations · our summary*
22. **[ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language](https://md.research.elamur.ai/free/en/papers/tafjord-2021-proofwriter-generating-implications-proofs-abductive/)**Oyvind Tafjord, Bhavana Dalvi, Peter Clark*117 citations · our summary*
23. **[A Text-Centered Shared-Private Framework via Cross-Modal Prediction for Multimodal Sentiment Analysis](https://aclanthology.org/2021.findings-acl.417/)**Yang Wu, Zijie Lin, Yanyan Zhao et al.*114 citations*
24. **[Detecting Harmful Memes and Their Targets](https://md.research.elamur.ai/free/en/papers/pramanick-2021-detecting-harmful-memes-their-targets/)**Shraman Pramanick, Dimitar Dimitrov, Rituparna Mukherjee et al.*114 citations · our summary*
25. **[GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning](https://md.research.elamur.ai/free/en/papers/chen-2021-geoqa-geometric-question-answering-benchmark/)**Jiaqi Chen, Jianheng Tang, Jinghui Qin et al.*111 citations · our summary*

[See all 881 papers in Findings of the Association for Computational Linguistics 2021 — accepted papers →](https://md.research.elamur.ai/free/en/venues/findings/2021/papers/)

## Papers with our summary in our library (50)

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

1. **[Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models](https://md.research.elamur.ai/free/en/papers/ni-2021-sentence-t5-scalable-sentence-encoders/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jianmo Ni, Gustavo Hernandez Abrego, Noah Constant, et al.*2021 · 581 citations*
2. **[GeDi: Generative Discriminator Guided Sequence Generation](https://md.research.elamur.ai/free/en/papers/krause-2021-gedi-generative-discriminator-guided-sequence/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ben Krause, Akhilesh Deepak Gotmare, Bryan McCann, et al.*2021 · 446 citations*
3. **[Template-Based Named Entity Recognition Using BART](https://md.research.elamur.ai/free/en/papers/cui-2021-template-based-named-entity-recognition/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Leyang Cui, Yu Wu, Jian Liu, et al.*2021 · 420 citations*
4. **[ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language](https://md.research.elamur.ai/free/en/papers/tafjord-2021-proofwriter-generating-implications-proofs-abductive/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Oyvind Tafjord, Bhavana Dalvi, Peter Clark*2021 · 331 citations*
5. **[DialogSum: A Real-Life Scenario Dialogue Summarization Dataset](https://md.research.elamur.ai/free/en/papers/chen-2021-dialogsum-real-life-scenario-dialogue/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yulong Chen, Yang Liu, Liang Chen, et al.*2021 · 301 citations*
6. **[Want To Reduce Labeling Cost? GPT-3 Can Help](https://md.research.elamur.ai/free/en/papers/wang-2021-want-reduce-labeling-cost-gpt/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shuohang Wang, Yang Liu, Yichong Xu, et al.*2021 · 298 citations*
7. **[GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation](https://md.research.elamur.ai/free/en/papers/yoo-2021-gpt3mix-leveraging-large-scale-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kang Min Yoo, Dongju Park, Jaewook Kang, et al.*2021 · 268 citations*
8. **[Detecting Hallucinated Content in Conditional Neural Sequence Generation](https://md.research.elamur.ai/free/en/papers/zhou-2021-detecting-hallucinated-content-conditional-neural/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chunting Zhou, Graham Neubig, Jiatao Gu, et al.*2021 · 229 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 · 219 citations*
10. **[MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets](https://md.research.elamur.ai/free/en/papers/pramanick-2021-momenta-multimodal-framework-detecting-harmful/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shraman Pramanick, Shivam Sharma, Dimitar Dimitrov, et al.*2021 · 212 citations*
11. **[Challenges in Detoxifying Language Models](https://md.research.elamur.ai/free/en/papers/welbl-2021-challenges-detoxifying-language-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Johannes Welbl, Amelia Glaese, Jonathan Uesato, et al.*2021 · 207 citations*
12. **[Retrieval Augmented Code Generation and Summarization](https://md.research.elamur.ai/free/en/papers/parvez-2021-retrieval-augmented-code-generation-summarization/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Md Rizwan Parvez, Wasi Ahmad, Saikat Chakraborty, et al.*2021 · 191 citations*
13. **[GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning](https://md.research.elamur.ai/free/en/papers/chen-2021-geoqa-geometric-question-answering-benchmark/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiaqi Chen, Jianheng Tang, Jinghui Qin, et al.*2021 · 183 citations*
14. **[ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts](https://md.research.elamur.ai/free/en/papers/koreeda-2021-contractnli-dataset-document-level-natural/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuta Koreeda, Christopher Manning*2021 · 177 citations*
15. **[Detecting Harmful Memes and Their Targets](https://md.research.elamur.ai/free/en/papers/pramanick-2021-detecting-harmful-memes-their-targets/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shraman Pramanick, Dimitar Dimitrov, Rituparna Mukherjee, et al.*2021 · 171 citations*
16. **[P-Stance: A Large Dataset for Stance Detection in Political Domain](https://md.research.elamur.ai/free/en/papers/li-2021-p-stance-large-dataset-stance/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yingjie Li, Tiberiu Sosea, Aditya Sawant, et al.*2021 · 169 citations*
17. **[Sustainable Modular Debiasing of Language Models](https://md.research.elamur.ai/free/en/papers/lauscher-2021-sustainable-modular-debiasing-language-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Anne Lauscher, Tobias Lueken, Goran Glavaš*2021 · 165 citations*
18. **[Explaining NLP Models via Minimal Contrastive Editing (MiCE)](https://md.research.elamur.ai/free/en/papers/ross-2021-explaining-nlp-models-minimal-contrastive/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Alexis Ross, Ana Marasović, Matthew Peters*2021 · 154 citations*
19. **[PLATO-2: Towards Building an Open-Domain Chatbot via Curriculum Learning](https://md.research.elamur.ai/free/en/papers/bao-2021-plato-2-building-open-domain/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Siqi Bao, Huang He, Fan Wang, et al.*2021 · 145 citations*
20. **[Out of Order: How important is the sequential order of words in a sentence in Natural Language Understanding tasks?](https://md.research.elamur.ai/free/en/papers/pham-2021-out-order-how-important-is/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Thang Pham, Trung Bui, Long Mai, et al.*2021 · 145 citations*
21. **[Fully Non-autoregressive Neural Machine Translation: Tricks of the Trade](https://md.research.elamur.ai/free/en/papers/gu-2021-fully-non-autoregressive-neural-machine/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiatao Gu, Xiang Kong*2021 · 141 citations*
22. **[TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation](https://md.research.elamur.ai/free/en/papers/uchendu-2021-turingbench-benchmark-environment-turing-test/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Adaku Uchendu, Zeyu Ma, Thai Le, et al.*2021 · 140 citations*
23. **[Enhancing Zero-shot and Few-shot Stance Detection with Commonsense Knowledge Graph](https://md.research.elamur.ai/free/en/papers/liu-2021-enhancing-zero-shot-few-shot/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Rui Liu, Zheng Lin, Yutong Tan, et al.*2021 · 134 citations*
24. **[MAD-G: Multilingual Adapter Generation for Efficient Cross-Lingual Transfer](https://md.research.elamur.ai/free/en/papers/ansell-2021-mad-g-multilingual-adapter-generation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Alan Ansell, Edoardo Maria Ponti, Jonas Pfeiffer, et al.*2021 · 129 citations*
25. **[GO FIGURE: A Meta Evaluation of Factuality in Summarization](https://md.research.elamur.ai/free/en/papers/gabriel-2021-go-figure-meta-evaluation-factuality/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Saadia Gabriel, Asli Celikyilmaz, Rahul Jha, et al.*2021 · 129 citations*

[See all 50 works in Findings of the Association for Computational Linguistics 2021 — accepted papers →](https://md.research.elamur.ai/free/en/venues/findings/2021/works/)

## Top topics

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

[Language models & pretraining (9)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning (8)](https://md.research.elamur.ai/free/en/topics/reasoning/) · [English (8)](https://md.research.elamur.ai/free/en/topics/english/) · [Sentiment & emotion (5)](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Bias, fairness & safety (5)](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Coreference resolution (4)](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) · [Dialogue systems (4)](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Machine translation (3)](https://md.research.elamur.ai/free/en/topics/machine-translation/) · [Summarization (3)](https://md.research.elamur.ai/free/en/topics/summarization/) · [Multilingual & cross-lingual NLP (3)](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Evaluation & benchmarks (3)](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Vision & language (3)](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Dependency parsing (2)](https://md.research.elamur.ai/free/en/topics/dependency-parsing/) · [Interpretability (2)](https://md.research.elamur.ai/free/en/topics/interpretability/) · [Idioms & multiword expressions (2)](https://md.research.elamur.ai/free/en/topics/multiword-expressions/)

**8 more topics**

[Named entity recognition (1)](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/) · [Discourse analysis (1)](https://md.research.elamur.ai/free/en/topics/discourse-analysis/) · [Speech act theory (1)](https://md.research.elamur.ai/free/en/topics/speech-act-theory/) · [Implicature (1)](https://md.research.elamur.ai/free/en/topics/implicature/) · [Question answering (1)](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Text generation (1)](https://md.research.elamur.ai/free/en/topics/text-generation/) · [Knowledge graphs & ontologies (1)](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) · [Code & programming languages (1)](https://md.research.elamur.ai/free/en/topics/code-and-programming/)

## Fields

[Computer Science (50)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities (45)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Social Sciences (8)](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Psychology (2)](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Mathematics (1)](https://md.research.elamur.ai/free/en/shelves/mathematics/)

## Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

[🧑‍🔬**Jiatao Gu**3 works here · 589 citations](https://md.research.elamur.ai/free/en/authors/jiatao-gu/) · [🧑‍🔬**Yue Zhang**2 works here · 721 citations](https://md.research.elamur.ai/free/en/authors/yue-zhang/) · [🧑‍🔬**Yang Liu**2 works here · 599 citations](https://md.research.elamur.ai/free/en/authors/yang-liu/) · [🧑‍🔬**Dimitar Dimitrov**2 works here · 383 citations](https://md.research.elamur.ai/free/en/authors/dimitar-dimitrov/) · [🧑‍🔬**Md Shad Akhtar**2 works here · 383 citations](https://md.research.elamur.ai/free/en/authors/md-shad-akhtar/) · [🧑‍🔬**Preslav Nakov**2 works here · 383 citations](https://md.research.elamur.ai/free/en/authors/preslav-nakov/) · [🧑‍🔬**Shivam Sharma**2 works here · 383 citations](https://md.research.elamur.ai/free/en/authors/shivam-sharma/) · [🧑‍🔬**Shraman Pramanick**2 works here · 383 citations](https://md.research.elamur.ai/free/en/authors/shraman-pramanick/) · [🧑‍🔬**Tanmoy Chakraborty**2 works here · 383 citations](https://md.research.elamur.ai/free/en/authors/tanmoy-chakraborty/) · [🧑‍🔬**Goran Glavaš**2 works here · 294 citations](https://md.research.elamur.ai/free/en/authors/goran-glavas/) · [🧑‍🔬**Matthew Peters**2 works here · 260 citations](https://md.research.elamur.ai/free/en/authors/matthew-peters/) · [🧑‍🔬**Cornelia Caragea**2 works here · 200 citations](https://md.research.elamur.ai/free/en/authors/cornelia-caragea/)

## Top institutions

Institutions on the bylines of its works here, by the number of works.

[🎓**University of Washington** Seattle · United States 5 works here](https://md.research.elamur.ai/free/en/universities/university-of-washington/) · [🔬**Allen Institute for Artificial Intelligence** Seattle · United States 5 works here](https://md.research.elamur.ai/free/en/labs/allen-institute-for-artificial-intelligence/) · [🏢**Google** Mountain View · United States 3 works here](https://md.research.elamur.ai/free/en/companies/google/) · [🎓**Carnegie Mellon University** Pittsburgh · United States 3 works here](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🎓**Indraprastha Institute of Information Technology Delhi** Delhi · India 2 works here](https://md.research.elamur.ai/free/en/universities/indraprastha-institute-of-information-technology-delhi/) · [🎓**University of Copenhagen** Copenhagen · Denmark 2 works here](https://md.research.elamur.ai/free/en/universities/university-of-copenhagen/) · [🏢**Microsoft** Redmond · United States 2 works here](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🏢**Adobe Systems** San Jose · United States 2 works here](https://md.research.elamur.ai/free/en/companies/adobe-systems/) · [🎓**Bar-Ilan University** Ramat Gan · Israel 2 works here](https://md.research.elamur.ai/free/en/universities/bar-ilan-university/) · [🎓**University of California, Los Angeles** Los Angeles · United States 2 works here](https://md.research.elamur.ai/free/en/universities/university-of-california-los-angeles/) · [🎓**University of Mannheim** Mannheim · Germany 2 works here](https://md.research.elamur.ai/free/en/universities/university-of-mannheim/) · [🎓**Hebrew University of Jerusalem** Jerusalem · Israel 2 works here](https://md.research.elamur.ai/free/en/universities/hebrew-university-of-jerusalem/)

Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library.

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