---
title: "EMNLP 2022 — accepted papers — Elamur Research"
description: "EMNLP 2022 — accepted papers: 55 papers in the Elamur Research library (Abu Dhabi, United Arab Emirates), with our summaries, ranked…"
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# EMNLP 2022 — accepted papers

EMNLP 2022 is the 2022 edition of the Conference on Empirical Methods in Natural Language Processing (EMNLP), held in Abu Dhabi, United Arab Emirates, December 2022 (publisher: Association for Computational Linguistics). The ACL Anthology lists 941 papers of it in 4 tracks; our library holds 55 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

[**941** papers in the proceedings](#all) · [**55** works in our library](https://md.research.elamur.ai/free/en/venues/emnlp/2022/works/) · [**9,355** citations of these works](https://md.research.elamur.ai/free/en/venues/emnlp/2022/works/)**Abu Dhabi, United Arab Emirates** where it was held**December 2022** when

## Tracks

Main 828Industry Track 65System 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. **[MedCLIP: Contrastive Learning from Unpaired Medical Images and Text](https://aclanthology.org/2022.emnlp-main.256/)**Zifeng Wang, Zhenbang Wu, Dinesh Agarwal et al.*761 citations*
2. **[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.*728 citations · our summary*
3. **[Large language models are few-shot clinical information extractors](https://md.research.elamur.ai/free/en/papers/agrawal-2022-large-language-models-are-few/)**Monica Agrawal, Stefan Hegselmann, Hunter Lang et al.*348 citations · our summary*
4. **[Red Teaming Language Models with Language Models](https://md.research.elamur.ai/free/en/papers/perez-2022-red-teaming-language-models-language/)**Ethan Perez, Saffron Huang, Francis Song et al.*341 citations · our summary*
5. **[UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion Recognition](https://aclanthology.org/2022.emnlp-main.534/)**Guimin Hu, Ting-En Lin, Yi Zhao et al.*255 citations*
6. **[Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks](https://aclanthology.org/2022.emnlp-main.340/)**Yizhong Wang, Swaroop Mishra, Pegah Alipoormolabashi et al.*247 citations*
7. **[UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models](https://md.research.elamur.ai/free/en/papers/xie-2022-unifiedskg-unifying-multi-tasking-structured/)**Tianbao Xie, Chen Henry Wu, Peng Shi et al.*232 citations · our summary*
8. **[Large Dual Encoders Are Generalizable Retrievers](https://aclanthology.org/2022.emnlp-main.669/)**Jianmo Ni, Chen Qu, Jing Lu et al.*171 citations*
9. **[mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections](https://aclanthology.org/2022.emnlp-main.488/)**Chenliang Li, Haiyang Xu, Junfeng Tian et al.*170 citations*
10. **[Translation between Molecules and Natural Language](https://md.research.elamur.ai/free/en/papers/edwards-2022-translation-between-molecules-natural-language/)**Carl Edwards, Tuan Lai, Kevin Ros et al.*165 citations · our summary*

## All accepted papers (941)

The most cited first; 55 with our summary link to their page here, the others to the original.

1. **[MedCLIP: Contrastive Learning from Unpaired Medical Images and Text](https://aclanthology.org/2022.emnlp-main.256/)**Zifeng Wang, Zhenbang Wu, Dinesh Agarwal et al.*761 citations*
2. **[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.*728 citations · our summary*
3. **[Large language models are few-shot clinical information extractors](https://md.research.elamur.ai/free/en/papers/agrawal-2022-large-language-models-are-few/)**Monica Agrawal, Stefan Hegselmann, Hunter Lang et al.*348 citations · our summary*
4. **[Red Teaming Language Models with Language Models](https://md.research.elamur.ai/free/en/papers/perez-2022-red-teaming-language-models-language/)**Ethan Perez, Saffron Huang, Francis Song et al.*341 citations · our summary*
5. **[UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion Recognition](https://aclanthology.org/2022.emnlp-main.534/)**Guimin Hu, Ting-En Lin, Yi Zhao et al.*255 citations*
6. **[Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks](https://aclanthology.org/2022.emnlp-main.340/)**Yizhong Wang, Swaroop Mishra, Pegah Alipoormolabashi et al.*247 citations*
7. **[UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models](https://md.research.elamur.ai/free/en/papers/xie-2022-unifiedskg-unifying-multi-tasking-structured/)**Tianbao Xie, Chen Henry Wu, Peng Shi et al.*232 citations · our summary*
8. **[Large Dual Encoders Are Generalizable Retrievers](https://aclanthology.org/2022.emnlp-main.669/)**Jianmo Ni, Chen Qu, Jing Lu et al.*171 citations*
9. **[mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections](https://aclanthology.org/2022.emnlp-main.488/)**Chenliang Li, Haiyang Xu, Junfeng Tian et al.*170 citations*
10. **[Translation between Molecules and Natural Language](https://md.research.elamur.ai/free/en/papers/edwards-2022-translation-between-molecules-natural-language/)**Carl Edwards, Tuan Lai, Kevin Ros et al.*165 citations · our summary*
11. **[RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/deng-2022-rlprompt-optimizing-discrete-text-prompts/)**Mingkai Deng, Jianyu Wang, Cheng-Ping Hsieh et al.*164 citations · our summary*
12. **[PromptBERT: Improving BERT Sentence Embeddings with Prompts](https://aclanthology.org/2022.emnlp-main.603/)**Ting Jiang, Jian Jiao, Shaohan Huang et al.*150 citations*
13. **[TweetNLP: Cutting-Edge Natural Language Processing for Social Media](https://aclanthology.org/2022.emnlp-demos.5/)**Jose Camacho-Collados, Kiamehr Rezaee, Talayeh Riahi et al. · System Demonstrations*131 citations*
14. **[MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text](https://md.research.elamur.ai/free/en/papers/chen-2022-murag-multimodal-retrieval-augmented-generator/)**Wenhu Chen, Hexiang Hu, Xi Chen et al.*125 citations · our summary*
15. **[Few-shot Learning with Multilingual Generative Language Models](https://aclanthology.org/2022.emnlp-main.616/)**Xi Victoria Lin, Todor Mihaylov, Mikel Artetxe et al.*118 citations*
16. **[Transformer Feed-Forward Layers Build Predictions by Promoting Concepts in the Vocabulary Space](https://md.research.elamur.ai/free/en/papers/geva-2022-transformer-feed-forward-layers-build/)**Mor Geva, Avi Caciularu, Kevin Wang et al.*117 citations · our summary*
17. **[Towards a Unified Multi-Dimensional Evaluator for Text Generation](https://md.research.elamur.ai/free/en/papers/zhong-2022-unified-multi-dimensional-evaluator-text/)**Ming Zhong, Yang Liu, Da Yin et al.*115 citations · our summary*
18. **[Language Models of Code are Few-Shot Commonsense Learners](https://aclanthology.org/2022.emnlp-main.90/)**Aman Madaan, Shuyan Zhou, Uri Alon et al.*114 citations*
19. **[Neural Theory-of-Mind? On the Limits of Social Intelligence in Large LMs](https://aclanthology.org/2022.emnlp-main.248/)**Maarten Sap, Ronan Le Bras, Daniel Fried et al.*113 citations*
20. **[Towards Multi-Modal Sarcasm Detection via Hierarchical Congruity Modeling with Knowledge Enhancement](https://md.research.elamur.ai/free/en/papers/liu-2022-multi-modal-sarcasm-detection-hierarchical/)**Hui Liu, Wenya Wang, Haoliang Li*113 citations · our summary*
21. **[The “Problem” of Human Label Variation: On Ground Truth in Data, Modeling and Evaluation](https://md.research.elamur.ai/free/en/papers/plank-2022-problem-human-label-variation-ground/)**Barbara Plank*112 citations · our summary*
22. **[ZeroGen: Efficient Zero-shot Learning via Dataset Generation](https://md.research.elamur.ai/free/en/papers/ye-2022-zerogen-efficient-zero-shot-learning/)**Jiacheng Ye, Jiahui Gao, Qintong Li et al.*104 citations · our summary*
23. **[COLD: A Benchmark for Chinese Offensive Language Detection](https://aclanthology.org/2022.emnlp-main.796/)**Jiawen Deng, Jingyan Zhou, Hao Sun et al.*100 citations*
24. **[CTRLsum: Towards Generic Controllable Text Summarization](https://md.research.elamur.ai/free/en/papers/he-2022-ctrlsum-generic-controllable-text-summarization/)**Junxian He, Wojciech Kryscinski, Bryan McCann et al.*100 citations · our summary*
25. **[Active Example Selection for In-Context Learning](https://md.research.elamur.ai/free/en/papers/zhang-2022-active-example-selection-context-learning/)**Yiming Zhang, Shi Feng, Chenhao Tan*98 citations · our summary*

[See all 941 papers in EMNLP 2022 — accepted papers →](https://md.research.elamur.ai/free/en/venues/emnlp/2022/papers/)

## Papers with our summary in our library (55)

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

1. **[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/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Sewon Min, Xinxi Lyu, Ari Holtzman, et al.*2022 · 1,425 citations*
2. **[Red Teaming Language Models with Language Models](https://md.research.elamur.ai/free/en/papers/perez-2022-red-teaming-language-models-language/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ethan Perez, Saffron Huang, Francis Song, et al.*2022 · 666 citations*
3. **[Large language models are few-shot clinical information extractors](https://md.research.elamur.ai/free/en/papers/agrawal-2022-large-language-models-are-few/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Monica Agrawal, Stefan Hegselmann, Hunter Lang, et al.*2022 · 450 citations*
4. **[UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models](https://md.research.elamur.ai/free/en/papers/xie-2022-unifiedskg-unifying-multi-tasking-structured/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Tianbao Xie, Chen Henry Wu, Peng Shi, et al.*2022 · 406 citations*
5. **[The “Problem” of Human Label Variation: On Ground Truth in Data, Modeling and Evaluation](https://md.research.elamur.ai/free/en/papers/plank-2022-problem-human-label-variation-ground/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Barbara Plank*2022 · 364 citations*
6. **[Transformer Feed-Forward Layers Build Predictions by Promoting Concepts in the Vocabulary Space](https://md.research.elamur.ai/free/en/papers/geva-2022-transformer-feed-forward-layers-build/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Mor Geva, Avi Caciularu, Kevin Ro Wang, et al.*2022 · 342 citations*
7. **[RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/deng-2022-rlprompt-optimizing-discrete-text-prompts/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Mingkai Deng, Jianyu Wang, Cheng-Ping Hsieh, et al.*2022 · 328 citations*
8. **[ZeroGen: Efficient Zero-shot Learning via Dataset Generation](https://md.research.elamur.ai/free/en/papers/ye-2022-zerogen-efficient-zero-shot-learning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiacheng Ye, Jiahui Gao, Qintong Li, et al.*2022 · 242 citations*
9. **[ASQA: Factoid Questions Meet Long-Form Answers](https://md.research.elamur.ai/free/en/papers/stelmakh-2022-asqa-factoid-questions-meet-long/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ivan Stelmakh, Yi Luan, Bhuwan Dhingra, et al.*2022 · 239 citations*
10. **[Translation between Molecules and Natural Language](https://md.research.elamur.ai/free/en/papers/edwards-2022-translation-between-molecules-natural-language/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Carl Edwards, Tuan Lai, Kevin Ros, et al.*2022 · 236 citations*
11. **[Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations](https://md.research.elamur.ai/free/en/papers/jung-2022-maieutic-prompting-logically-consistent-reasoning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jaehun Jung, Lianhui Qin, Sean Welleck, et al.*2022 · 214 citations*
12. **[Active Example Selection for In-Context Learning](https://md.research.elamur.ai/free/en/papers/zhang-2022-active-example-selection-context-learning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yiming Zhang, Shi Feng, Chenhao Tan*2022 · 207 citations*
13. **[Towards a Unified Multi-Dimensional Evaluator for Text Generation](https://md.research.elamur.ai/free/en/papers/zhong-2022-unified-multi-dimensional-evaluator-text/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ming Zhong, Yang Liu, Da Yin, et al.*2022 · 205 citations*
14. **[CTRLsum: Towards Generic Controllable Text Summarization](https://md.research.elamur.ai/free/en/papers/he-2022-ctrlsum-generic-controllable-text-summarization/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Junxian He, Wojciech Kryscinski, Bryan McCann, et al.*2022 · 200 citations*
15. **[Improving Passage Retrieval with Zero-Shot Question Generation](https://md.research.elamur.ai/free/en/papers/sachan-2022-improving-passage-retrieval-zero-shot/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Devendra Sachan, Mike Lewis, Mandar Joshi, et al.*2022 · 197 citations*
16. **[MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text](https://md.research.elamur.ai/free/en/papers/chen-2022-murag-multimodal-retrieval-augmented-generator/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wenhu Chen, Hexiang Hu, Xi Chen, et al.*2022 · 196 citations*
17. **[LILA: A Unified Benchmark for Mathematical Reasoning](https://md.research.elamur.ai/free/en/papers/mishra-2022-lila-unified-benchmark-mathematical-reasoning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Swaroop Mishra, Matthew Finlayson, Pan Lu, et al.*2022 · 177 citations*
18. **[ConvFinQA: Exploring the Chain of Numerical Reasoning in Conversational Finance Question Answering](https://md.research.elamur.ai/free/en/papers/chen-2022-convfinqa-exploring-chain-numerical-reasoning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zhiyu Chen, Shiyang Li, Charese Smiley, et al.*2022 · 172 citations*
19. **[“I'm sorry to hear that”: Finding New Biases in Language Models with a Holistic Descriptor Dataset](https://md.research.elamur.ai/free/en/papers/smith-2022-i-m-sorry-hear-that/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Eric Michael Smith, Melissa Hall, Melanie Kambadur, et al.*2022 · 165 citations*
20. **[SCROLLS: Standardized CompaRison Over Long Language Sequences](https://md.research.elamur.ai/free/en/papers/shaham-2022-scrolls-standardized-comparison-over-long/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Uri Shaham, Elad Segal, Maor Ivgi, et al.*2022 · 162 citations*
21. **[Revisiting DocRED - Addressing the False Negative Problem in Relation Extraction](https://md.research.elamur.ai/free/en/papers/tan-2022-revisiting-docred-addressing-false-negative/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Qingyu Tan, Lu Xu, Lidong Bing, et al.*2022 · 151 citations*
22. **[MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/adelani-2022-masakhaner-2-0-africa-centric/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**David Ifeoluwa Adelani, Graham Neubig, Sebastian Ruder, et al.*2022 · 150 citations*
23. **[ProsocialDialog: A Prosocial Backbone for Conversational Agents](https://md.research.elamur.ai/free/en/papers/kim-2022-prosocialdialog-prosocial-backbone-conversational-agents/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Hyunwoo Kim, Youngjae Yu, Liwei Jiang, et al.*2022 · 150 citations*
24. **[Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks](https://md.research.elamur.ai/free/en/papers/mireshghallah-2022-quantifying-privacy-risks-masked-language/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Fatemehsadat Mireshghallah, Kartik Goyal, Archit Uniyal, et al.*2022 · 145 citations*
25. **[RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder](https://md.research.elamur.ai/free/en/papers/xiao-2022-retromae-pre-training-retrieval-oriented/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Shitao Xiao, Zheng Liu, Yingxia Shao, et al.*2022 · 145 citations*

[See all 55 works in EMNLP 2022 — accepted papers →](https://md.research.elamur.ai/free/en/venues/emnlp/2022/works/)

## Top topics

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

[Language models & pretraining (10)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning (6)](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Question answering (5)](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Dialogue systems (4)](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Information retrieval & search (4)](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Vision & language (4)](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Coreference resolution (3)](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) · [Evaluation & benchmarks (3)](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Semitic languages (3)](https://md.research.elamur.ai/free/en/topics/semitic-languages/) · [Universal Dependencies (2)](https://md.research.elamur.ai/free/en/topics/universal-dependencies/) · [Machine translation (2)](https://md.research.elamur.ai/free/en/topics/machine-translation/) · [Information extraction (2)](https://md.research.elamur.ai/free/en/topics/information-extraction/) · [Sentiment & emotion (2)](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Summarization (2)](https://md.research.elamur.ai/free/en/topics/summarization/) · [Text generation (2)](https://md.research.elamur.ai/free/en/topics/text-generation/)

**16 more topics**

[Multilingual & cross-lingual NLP (2)](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Bias, fairness & safety (2)](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [English (2)](https://md.research.elamur.ai/free/en/topics/english/) · [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/) · [Dependency parsing (1)](https://md.research.elamur.ai/free/en/topics/dependency-parsing/) · [Treebanks (1)](https://md.research.elamur.ai/free/en/topics/treebanks/) · [Speech & spoken language (1)](https://md.research.elamur.ai/free/en/topics/speech/) · [Morphology (1)](https://md.research.elamur.ai/free/en/topics/morphology/) · [Hebrew & Aramaic (1)](https://md.research.elamur.ai/free/en/topics/hebrew-aramaic/) · [Syntax & grammar formalisms (1)](https://md.research.elamur.ai/free/en/topics/syntax-grammar/) · [Semantic parsing & meaning representation (1)](https://md.research.elamur.ai/free/en/topics/semantic-parsing/) · [Interpretability (1)](https://md.research.elamur.ai/free/en/topics/interpretability/) · [Grammatical error correction & learner language (1)](https://md.research.elamur.ai/free/en/topics/grammatical-error-correction/) · [Idioms & multiword expressions (1)](https://md.research.elamur.ai/free/en/topics/multiword-expressions/) · [Modern Hebrew (1)](https://md.research.elamur.ai/free/en/topics/modern-hebrew/)

## Fields

[Computer Science (55)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities (51)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Social Sciences (5)](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Biochemistry, Genetics and Molecular Biology (2)](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/) · [Decision Sciences (1)](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Materials Science (1)](https://md.research.elamur.ai/free/en/shelves/materials-science/) · [Mathematics (1)](https://md.research.elamur.ai/free/en/shelves/mathematics/) · [Psychology (1)](https://md.research.elamur.ai/free/en/shelves/psychology/)

## Top authors

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

[🧑‍🔬**Hannaneh Hajishirzi**4 works here · 1,723 citations](https://md.research.elamur.ai/free/en/authors/hannaneh-hajishirzi/) · [🧑‍🔬**Sean Welleck**3 works here · 473 citations](https://md.research.elamur.ai/free/en/authors/sean-welleck/) · [🧑‍🔬**Yejin Choi**3 works here · 446 citations](https://md.research.elamur.ai/free/en/authors/yejin-choi/) · [🧑‍🔬**Luke Zettlemoyer**2 works here · 1,622 citations](https://md.research.elamur.ai/free/en/authors/luke-zettlemoyer/) · [🧑‍🔬**Mike Lewis**2 works here · 1,622 citations](https://md.research.elamur.ai/free/en/authors/mike-lewis/) · [🧑‍🔬**Ming Zhong**2 works here · 611 citations](https://md.research.elamur.ai/free/en/authors/ming-zhong/) · [🧑‍🔬**Mor Geva**2 works here · 504 citations](https://md.research.elamur.ai/free/en/authors/mor-geva/) · [🧑‍🔬**Heng Ji**2 works here · 441 citations](https://md.research.elamur.ai/free/en/authors/heng-ji/) · [🧑‍🔬**Avi Caciularu**2 works here · 357 citations](https://md.research.elamur.ai/free/en/authors/avi-caciularu/) · [🧑‍🔬**Yi Luan**2 works here · 334 citations](https://md.research.elamur.ai/free/en/authors/yi-luan/) · [🧑‍🔬**Pan Lu**2 works here · 288 citations](https://md.research.elamur.ai/free/en/authors/pan-lu/) · [🧑‍🔬**Xi Chen**2 works here · 285 citations](https://md.research.elamur.ai/free/en/authors/xi-chen/)

## Top institutions

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

[🎓**University of Washington** Seattle · United States 10 works here](https://md.research.elamur.ai/free/en/universities/university-of-washington/) · [🔬**Allen Institute for Artificial Intelligence** Seattle · United States 10 works here](https://md.research.elamur.ai/free/en/labs/allen-institute-for-artificial-intelligence/) · [🏢**Google** Mountain View · United States 9 works here](https://md.research.elamur.ai/free/en/companies/google/) · [🎓**Carnegie Mellon University** Pittsburgh · United States 6 works here](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🎓**University of Illinois Urbana-Champaign** Urbana · United States 4 works here](https://md.research.elamur.ai/free/en/universities/university-of-illinois-urbana-champaign/) · [🎓**University of California, Los Angeles** Los Angeles · United States 3 works here](https://md.research.elamur.ai/free/en/universities/university-of-california-los-angeles/) · [🎓**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/) · [🎓**Massachusetts Institute of Technology** Cambridge · United States 3 works here](https://md.research.elamur.ai/free/en/universities/massachusetts-institute-of-technology/) · [🎓**University of Hong Kong** Pok Fu Lam · China 3 works here](https://md.research.elamur.ai/free/en/universities/university-of-hong-kong/) · [🎓**New York University Abu Dhabi** Abu Dhabi · United Arab Emirates 2 works here](https://md.research.elamur.ai/free/en/universities/new-york-university-abu-dhabi/) · [🏢**Microsoft** Redmond · United States 2 works here](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🎓**Seoul National University** Seoul · South Korea 2 works here](https://md.research.elamur.ai/free/en/universities/seoul-national-university/)

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

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