---
title: "EMNLP 2021 — accepted papers — Elamur Research"
description: "EMNLP 2021 — accepted papers: 70 papers in the Elamur Research library (Online and Punta Cana, Dominican Republic), with our…"
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# EMNLP 2021 — accepted papers

EMNLP 2021 is the 2021 edition of the Conference on Empirical Methods in Natural Language Processing (EMNLP), held in Online and Punta Cana, Dominican Republic, November 2021 (publisher: Association for Computational Linguistics). The ACL Anthology lists 895 papers of it in 3 tracks; our library holds 70 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

[**895** papers in the proceedings](#all) · [**70** works in our library](https://md.research.elamur.ai/free/en/venues/emnlp/2021/works/) · [**16,279** citations of these works](https://md.research.elamur.ai/free/en/venues/emnlp/2021/works/)**Online and Punta Cana, Dominican Republic** where it was held**November 2021** when

## Tracks

Main 847System Demonstrations 42Tutorial Abstracts 6

## Most cited papers

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

1. **[The Power of Scale for Parameter-Efficient Prompt Tuning](https://aclanthology.org/2021.emnlp-main.243/)**Brian Lester, Rami Al-Rfou, Noah Constant*2,915 citations*
2. **[SimCSE: Simple Contrastive Learning of Sentence Embeddings](https://md.research.elamur.ai/free/en/papers/gao-2021-simcse-simple-contrastive-learning-sentence/)**Tianyu Gao, Xingcheng Yao, Danqi Chen*2,686 citations · our summary*
3. **[CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation](https://aclanthology.org/2021.emnlp-main.685/)**Yue Wang, Weishi Wang, Shafiq Joty et al.*1,423 citations*
4. **[CLIPScore: A Reference-free Evaluation Metric for Image Captioning](https://md.research.elamur.ai/free/en/papers/hessel-2021-clipscore-reference-free-evaluation-metric/)**Jack Hessel, Ari Holtzman, Maxwell Forbes et al.*1,191 citations · our summary*
5. **[Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/han-2021-improving-multimodal-fusion-hierarchical-mutual/)**Wei Han, Hui Chen, Soujanya Poria*515 citations · our summary*
6. **[VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding](https://aclanthology.org/2021.emnlp-main.544/)**Hu Xu, Gargi Ghosh, Po-Yao Huang et al.*450 citations*
7. **[Transformer Feed-Forward Layers Are Key-Value Memories](https://aclanthology.org/2021.emnlp-main.446/)**Mor Geva, Roei Schuster, Jonathan Berant et al.*328 citations*
8. **[Datasets: A Community Library for Natural Language Processing](https://aclanthology.org/2021.emnlp-demo.21/)**Quentin Lhoest, Albert Villanova del Moral, Yacine Jernite et al. · System Demonstrations*327 citations*
9. **[PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models](https://aclanthology.org/2021.emnlp-main.779/)**Torsten Scholak, Nathan Schucher, Dzmitry Bahdanau*323 citations*
10. **[Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus](https://aclanthology.org/2021.emnlp-main.98/)**Jesse Dodge, Maarten Sap, Ana Marasović et al.*289 citations*

## All accepted papers (895)

The most cited first; 70 with our summary link to their page here, the others to the original.

1. **[The Power of Scale for Parameter-Efficient Prompt Tuning](https://aclanthology.org/2021.emnlp-main.243/)**Brian Lester, Rami Al-Rfou, Noah Constant*2,915 citations*
2. **[SimCSE: Simple Contrastive Learning of Sentence Embeddings](https://md.research.elamur.ai/free/en/papers/gao-2021-simcse-simple-contrastive-learning-sentence/)**Tianyu Gao, Xingcheng Yao, Danqi Chen*2,686 citations · our summary*
3. **[CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation](https://aclanthology.org/2021.emnlp-main.685/)**Yue Wang, Weishi Wang, Shafiq Joty et al.*1,423 citations*
4. **[CLIPScore: A Reference-free Evaluation Metric for Image Captioning](https://md.research.elamur.ai/free/en/papers/hessel-2021-clipscore-reference-free-evaluation-metric/)**Jack Hessel, Ari Holtzman, Maxwell Forbes et al.*1,191 citations · our summary*
5. **[Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/han-2021-improving-multimodal-fusion-hierarchical-mutual/)**Wei Han, Hui Chen, Soujanya Poria*515 citations · our summary*
6. **[VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding](https://aclanthology.org/2021.emnlp-main.544/)**Hu Xu, Gargi Ghosh, Po-Yao Huang et al.*450 citations*
7. **[Transformer Feed-Forward Layers Are Key-Value Memories](https://aclanthology.org/2021.emnlp-main.446/)**Mor Geva, Roei Schuster, Jonathan Berant et al.*328 citations*
8. **[Datasets: A Community Library for Natural Language Processing](https://aclanthology.org/2021.emnlp-demo.21/)**Quentin Lhoest, Albert Villanova del Moral, Yacine Jernite et al. · System Demonstrations*327 citations*
9. **[PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models](https://aclanthology.org/2021.emnlp-main.779/)**Torsten Scholak, Nathan Schucher, Dzmitry Bahdanau*323 citations*
10. **[Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus](https://aclanthology.org/2021.emnlp-main.98/)**Jesse Dodge, Maarten Sap, Ana Marasović et al.*289 citations*
11. **[FinQA: A Dataset of Numerical Reasoning over Financial Data](https://md.research.elamur.ai/free/en/papers/chen-2021-finqa-dataset-numerical-reasoning-over/)**Zhiyu Chen, Wenhu Chen, Charese Smiley et al.*241 citations · our summary*
12. **[Aspect Sentiment Quad Prediction as Paraphrase Generation](https://md.research.elamur.ai/free/en/papers/zhang-2021-aspect-sentiment-quad-prediction-as/)**Wenxuan Zhang, Yang Deng, Xin Li et al.*212 citations · our summary*
13. **[Latent Hatred: A Benchmark for Understanding Implicit Hate Speech](https://md.research.elamur.ai/free/en/papers/elsherief-2021-latent-hatred-benchmark-understanding-implicit/)**Mai ElSherief, Caleb Ziems, David Muchlinski et al.*190 citations · our summary*
14. **[ONION: A Simple and Effective Defense Against Textual Backdoor Attacks](https://md.research.elamur.ai/free/en/papers/qi-2021-onion-simple-effective-defense-against/)**Fanchao Qi, Yangyi Chen, Mukai Li et al.*189 citations · our summary*
15. **[TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting](https://aclanthology.org/2021.emnlp-main.655/)**Haohai Sun, Jialun Zhong, Yunpu Ma et al.*187 citations*
16. **[AdapterDrop: On the Efficiency of Adapters in Transformers](https://md.research.elamur.ai/free/en/papers/ruckle-2021-adapterdrop-efficiency-adapters-transformers/)**Andreas Rücklé, Gregor Geigle, Max Glockner et al.*181 citations · our summary*
17. **[Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little](https://md.research.elamur.ai/free/en/papers/sinha-2021-masked-language-modeling-distributional-hypothesis/)**Koustuv Sinha, Robin Jia, Dieuwke Hupkes et al.*181 citations · our summary*
18. **[Editing Factual Knowledge in Language Models](https://aclanthology.org/2021.emnlp-main.522/)**Nicola De Cao, Wilker Aziz, Ivan Titov*176 citations*
19. **[Muppet: Massive Multi-task Representations with Pre-Finetuning](https://md.research.elamur.ai/free/en/papers/aghajanyan-2021-muppet-massive-multi-task-representations/)**Armen Aghajanyan, Anchit Gupta, Akshat Shrivastava et al.*175 citations · our summary*
20. **[Fast WordPiece Tokenization](https://aclanthology.org/2021.emnlp-main.160/)**Xinying Song, Alex Salcianu, Yang Song et al.*172 citations*
21. **[QuestEval: Summarization Asks for Fact-based Evaluation](https://md.research.elamur.ai/free/en/papers/scialom-2021-questeval-summarization-asks-fact-based/)**Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier et al.*169 citations · our summary*
22. **[Condenser: a Pre-training Architecture for Dense Retrieval](https://md.research.elamur.ai/free/en/papers/gao-2021-condenser-pre-training-architecture-dense/)**Luyu Gao, Jamie Callan*161 citations · our summary*
23. **[Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation](https://aclanthology.org/2021.emnlp-main.132/)**Mozhdeh Gheini, Xiang Ren, Jonathan May*151 citations*
24. **[RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking](https://md.research.elamur.ai/free/en/papers/ren-2021-rocketqav2-joint-training-method-dense/)**Ruiyang Ren, Yingqi Qu, Jing Liu et al.*149 citations · our summary*
25. **[A Partition Filter Network for Joint Entity and Relation Extraction](https://aclanthology.org/2021.emnlp-main.17/)**Zhiheng Yan, Chong Zhang, Jinlan Fu et al.*142 citations*

[See all 895 papers in EMNLP 2021 — accepted papers →](https://md.research.elamur.ai/free/en/venues/emnlp/2021/papers/)

## Papers with our summary in our library (70)

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

1. **[SimCSE: Simple Contrastive Learning of Sentence Embeddings](https://md.research.elamur.ai/free/en/papers/gao-2021-simcse-simple-contrastive-learning-sentence/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Tianyu Gao, Xingcheng Yao, Danqi Chen*2021 · 3,922 citations*
2. **[CLIPScore: A Reference-free Evaluation Metric for Image Captioning](https://md.research.elamur.ai/free/en/papers/hessel-2021-clipscore-reference-free-evaluation-metric/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jack Hessel, Ari Holtzman, Maxwell Forbes, et al.*2021 · 1,499 citations*
3. **[Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/han-2021-improving-multimodal-fusion-hierarchical-mutual/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wei Han, Hui Chen, Soujanya Poria*2021 · 564 citations*
4. **[FinQA: A Dataset of Numerical Reasoning over Financial Data](https://md.research.elamur.ai/free/en/papers/chen-2021-finqa-dataset-numerical-reasoning-over/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zhiyu Chen, Wenhu Chen, Charese Smiley, et al.*2021 · 511 citations*
5. **[Latent Hatred: A Benchmark for Understanding Implicit Hate Speech](https://md.research.elamur.ai/free/en/papers/elsherief-2021-latent-hatred-benchmark-understanding-implicit/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Mai ElSherief, Caleb Ziems, David Muchlinski, et al.*2021 · 365 citations*
6. **[QuestEval: Summarization Asks for Fact-based Evaluation](https://md.research.elamur.ai/free/en/papers/scialom-2021-questeval-summarization-asks-fact-based/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, et al.*2021 · 354 citations*
7. **[Aspect Sentiment Quad Prediction as Paraphrase Generation](https://md.research.elamur.ai/free/en/papers/zhang-2021-aspect-sentiment-quad-prediction-as/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wenxuan Zhang, Yang Deng, Xin Li, et al.*2021 · 325 citations*
8. **[Muppet: Massive Multi-task Representations with Pre-Finetuning](https://md.research.elamur.ai/free/en/papers/aghajanyan-2021-muppet-massive-multi-task-representations/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Armen Aghajanyan, Anchit Gupta, Akshat Shrivastava, et al.*2021 · 299 citations*
9. **[Entity-Based Knowledge Conflicts in Question Answering](https://md.research.elamur.ai/free/en/papers/longpre-2021-entity-based-knowledge-conflicts-question/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Shayne Longpre, Kartik Perisetla, Anthony Chen, et al.*2021 · 295 citations*
10. **[AdapterDrop: On the Efficiency of Adapters in Transformers](https://md.research.elamur.ai/free/en/papers/ruckle-2021-adapterdrop-efficiency-adapters-transformers/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Andreas Rücklé, Gregor Geigle, Max Glockner, et al.*2021 · 295 citations*
11. **[Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little](https://md.research.elamur.ai/free/en/papers/sinha-2021-masked-language-modeling-distributional-hypothesis/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Koustuv Sinha, Robin Jia, Dieuwke Hupkes, et al.*2021 · 292 citations*
12. **[ONION: A Simple and Effective Defense Against Textual Backdoor Attacks](https://md.research.elamur.ai/free/en/papers/qi-2021-onion-simple-effective-defense-against/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Fanchao Qi, Yangyi Chen, Mukai Li, et al.*2021 · 279 citations*
13. **[XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation](https://md.research.elamur.ai/free/en/papers/ruder-2021-xtreme-r-more-challenging-nuanced/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Sebastian Ruder, Noah Constant, Jan Botha, et al.*2021 · 277 citations*
14. **[Surface Form Competition: Why the Highest Probability Answer Isn't Always Right](https://md.research.elamur.ai/free/en/papers/holtzman-2021-surface-form-competition-why-highest/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ari Holtzman, Peter West, Vered Shwartz, et al.*2021 · 271 citations*
15. **[Condenser: a Pre-training Architecture for Dense Retrieval](https://md.research.elamur.ai/free/en/papers/gao-2021-condenser-pre-training-architecture-dense/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Luyu Gao, Jamie Callan*2021 · 261 citations*
16. **[CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/cao-2021-cliff-contrastive-learning-improving-faithfulness/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Shuyang Cao, Lu Wang*2021 · 258 citations*
17. **[RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking](https://md.research.elamur.ai/free/en/papers/ren-2021-rocketqav2-joint-training-method-dense/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ruiyang Ren, Yingqi Qu, Jing Liu, et al.*2021 · 256 citations*
18. **[Generating Datasets with Pretrained Language Models](https://md.research.elamur.ai/free/en/papers/schick-2021-generating-datasets-pretrained-language-models/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Timo Schick, Hinrich Schutze*2021 · 250 citations*
19. **[Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies](https://md.research.elamur.ai/free/en/papers/dev-2021-harms-gender-exclusivity-challenges-non/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Sunipa Dev, Masoud Monajatipoor, Anaelia Ovalle, et al.*2021 · 228 citations*
20. **[Measuring Association Between Labels and Free-Text Rationales](https://md.research.elamur.ai/free/en/papers/wiegreffe-2021-measuring-association-between-labels-free/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Sarah Wiegreffe, Ana Marasović, Noah A. Smith*2021 · 215 citations*
21. **[Explaining Answers with Entailment Trees](https://md.research.elamur.ai/free/en/papers/dalvi-2021-explaining-answers-entailment-trees/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Bhavana Dalvi, Peter Jansen, Oyvind Tafjord, et al.*2021 · 207 citations*
22. **[Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning](https://md.research.elamur.ai/free/en/papers/xu-2021-raise-child-large-language-model/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Runxin Xu, Fuli Luo, Zhiyuan Zhang, et al.*2021 · 200 citations*
23. **[Block Pruning For Faster Transformers](https://md.research.elamur.ai/free/en/papers/lagunas-2021-block-pruning-faster-transformers/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**François Lagunas, Ella Charlaix, Victor Sanh, et al.*2021 · 197 citations*
24. **[Q²: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering](https://md.research.elamur.ai/free/en/papers/honovich-2021-q-2-evaluating-factual-consistency/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Or Honovich, Leshem Choshen, Roee Aharoni, et al.*2021 · 195 citations*
25. **[Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer](https://md.research.elamur.ai/free/en/papers/qi-2021-mind-style-text-adversarial-backdoor/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Fanchao Qi, Yangyi Chen, Xurui Zhang, et al.*2021 · 188 citations*

[See all 70 works in EMNLP 2021 — accepted papers →](https://md.research.elamur.ai/free/en/venues/emnlp/2021/works/)

## Top topics

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

[Language models & pretraining (11)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Sentiment & emotion (9)](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Coreference resolution (7)](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) · [Multilingual & cross-lingual NLP (7)](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Summarization (4)](https://md.research.elamur.ai/free/en/topics/summarization/) · [Evaluation & benchmarks (4)](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Information retrieval & search (4)](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Question answering (3)](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Text generation (3)](https://md.research.elamur.ai/free/en/topics/text-generation/) · [Dialogue systems (3)](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Reasoning (3)](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Vision & language (3)](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Efficient models & compression (3)](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Discourse analysis (2)](https://md.research.elamur.ai/free/en/topics/discourse-analysis/) · [Machine translation (2)](https://md.research.elamur.ai/free/en/topics/machine-translation/)

**13 more topics**

[Akkadian and cuneiform NLP (1)](https://md.research.elamur.ai/free/en/topics/akkadian-cuneiform-nlp/) · [Universal Dependencies (1)](https://md.research.elamur.ai/free/en/topics/universal-dependencies/) · [Semantic role labeling (1)](https://md.research.elamur.ai/free/en/topics/semantic-role-labeling/) · [Information extraction (1)](https://md.research.elamur.ai/free/en/topics/information-extraction/) · [Speech & spoken language (1)](https://md.research.elamur.ai/free/en/topics/speech/) · [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/) · [Legal AI (1)](https://md.research.elamur.ai/free/en/topics/legal-ai/) · [Semitic languages (1)](https://md.research.elamur.ai/free/en/topics/semitic-languages/) · [Semantic parsing & meaning representation (1)](https://md.research.elamur.ai/free/en/topics/semantic-parsing/) · [Psycholinguistics & language acquisition (1)](https://md.research.elamur.ai/free/en/topics/psycholinguistics/) · [Bias, fairness & safety (1)](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [English (1)](https://md.research.elamur.ai/free/en/topics/english/)

## Fields

[Computer Science (69)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities (64)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Psychology (3)](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Social Sciences (3)](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Biochemistry, Genetics and Molecular Biology (1)](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/) · [Neuroscience (1)](https://md.research.elamur.ai/free/en/shelves/neuroscience/)

## Top authors

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

[🧑‍🔬**Iryna Gurevych**4 works here · 613 citations](https://md.research.elamur.ai/free/en/authors/iryna-gurevych/) · [🧑‍🔬**Jonas Pfeiffer**3 works here · 602 citations](https://md.research.elamur.ai/free/en/authors/jonas-pfeiffer/) · [🧑‍🔬**Danqi Chen**2 works here · 4,090 citations](https://md.research.elamur.ai/free/en/authors/danqi-chen/) · [🧑‍🔬**Ari Holtzman**2 works here · 1,770 citations](https://md.research.elamur.ai/free/en/authors/ari-holtzman/) · [🧑‍🔬**Yejin Choi**2 works here · 1,770 citations](https://md.research.elamur.ai/free/en/authors/yejin-choi/) · [🧑‍🔬**Luke Zettlemoyer**2 works here · 570 citations](https://md.research.elamur.ai/free/en/authors/luke-zettlemoyer/) · [🧑‍🔬**Douwe Kiela**2 works here · 479 citations](https://md.research.elamur.ai/free/en/authors/douwe-kiela/) · [🧑‍🔬**Fanchao Qi**2 works here · 467 citations](https://md.research.elamur.ai/free/en/authors/fanchao-qi/) · [🧑‍🔬**Maosong Sun**2 works here · 467 citations](https://md.research.elamur.ai/free/en/authors/maosong-sun/) · [🧑‍🔬**Mukai Li**2 works here · 467 citations](https://md.research.elamur.ai/free/en/authors/mukai-li/) · [🧑‍🔬**Yangyi Chen**2 works here · 467 citations](https://md.research.elamur.ai/free/en/authors/yangyi-chen/) · [🧑‍🔬**Zhiyuan Liu**2 works here · 467 citations](https://md.research.elamur.ai/free/en/authors/zhiyuan-liu/)

## Top institutions

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

[🎓**Carnegie Mellon University** Pittsburgh · United States 5 works here](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🏢**Google** Mountain View · United States 4 works here](https://md.research.elamur.ai/free/en/companies/google/) · [🎓**University of Cambridge** Cambridge · United Kingdom 4 works here](https://md.research.elamur.ai/free/en/universities/university-of-cambridge/) · [🎓**Technische Universität Darmstadt** Darmstadt · Germany 4 works here](https://md.research.elamur.ai/free/en/universities/technische-universitat-darmstadt/) · [🎓**Hebrew University of Jerusalem** Jerusalem · Israel 3 works here](https://md.research.elamur.ai/free/en/universities/hebrew-university-of-jerusalem/) · [🎓**Princeton University** Princeton · United States 3 works here](https://md.research.elamur.ai/free/en/universities/princeton-university/) · [🎓**University of Washington** Seattle · United States 3 works here](https://md.research.elamur.ai/free/en/universities/university-of-washington/) · [🎓**Paderborn University** Paderborn · Germany 3 works here](https://md.research.elamur.ai/free/en/universities/paderborn-university/) · [🎓**University of California San Diego** San Diego · United States 3 works here](https://md.research.elamur.ai/free/en/universities/university-of-california-san-diego/) · [🏢**Meta** Menlo Park · United States 3 works here](https://md.research.elamur.ai/free/en/companies/meta/) · [🔬**Allen Institute for Artificial Intelligence** Seattle · United States 3 works here](https://md.research.elamur.ai/free/en/labs/allen-institute-for-artificial-intelligence/) · [🎓**University of Edinburgh** Edinburgh · United Kingdom 3 works here](https://md.research.elamur.ai/free/en/universities/university-of-edinburgh/)

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

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