---
title: "ACL 2022 — accepted papers — Elamur Research"
description: "ACL 2022 — accepted papers: 73 papers in the Elamur Research library (Dublin, Ireland), with our summaries, ranked by citations."
canonical: "https://research.elamur.ai/free/en/venues/acl/2022/"
---
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# ACL 2022 — accepted papers

ACL 2022 is the 2022 edition of the Annual Meeting of the Association for Computational Linguistics (ACL), held in Dublin, Ireland, May 2022 (publisher: Association for Computational Linguistics). The ACL Anthology lists 774 papers of it in 5 tracks; our library holds 73 with our summaries. Below: its awards, the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

[**774** papers in the proceedings](#all) · [**73** works in our library](https://md.research.elamur.ai/free/en/venues/acl/2022/works/) · [**18,512** citations of these works](https://md.research.elamur.ai/free/en/venues/acl/2022/works/)**Dublin, Ireland** where it was held**May 2022** when

## Tracks

Long Papers 603Short Papers 97Student Research Workshop 39System Demonstrations 27Tutorial Abstracts 8

## Awards

As the ACL Anthology records them.

1. **[Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity](https://md.research.elamur.ai/free/en/papers/lu-2022-fantastically-ordered-prompts-where-find/)**Yao Lu, Max Bartolo, Alastair Moore et al. · Long Papers · 🏆 Outstanding Paper*585 citations · our summary*
2. **[Compression of Generative Pre-trained Language Models via Quantization ↗](https://aclanthology.org/2022.acl-long.331/)**Chaofan Tao, Lu Hou, Wei Zhang et al. · Long Papers · 🏆 Outstanding Paper*46 citations*
3. **[Evaluating Factuality in Text Simplification ↗](https://aclanthology.org/2022.acl-long.506/)**Ashwin Devaraj, William Sheffield, Byron Wallace et al. · Long Papers · 🏆 Outstanding Paper*39 citations*
4. **[Inducing Positive Perspectives with Text Reframing ↗](https://aclanthology.org/2022.acl-long.257/)**Caleb Ziems, Minzhi Li, Anthony Zhang et al. · Long Papers · 🏆 Outstanding Paper*39 citations*
5. **[KinyaBERT: a Morphology-aware Kinyarwanda Language Model ↗](https://aclanthology.org/2022.acl-long.367/)**Antoine Nzeyimana, Andre Niyongabo Rubungo · Long Papers · 🏆 Best Linguistic Insight Paper*33 citations*
6. **[Learning to Generalize to More: Continuous Semantic Augmentation for Neural Machine Translation ↗](https://aclanthology.org/2022.acl-long.546/)**Xiangpeng Wei, Heng Yu, Yue Hu et al. · Long Papers · 🏆 Outstanding Paper*26 citations*
7. **[DiBiMT: A Novel Benchmark for Measuring Word Sense Disambiguation Biases in Machine Translation ↗](https://aclanthology.org/2022.acl-long.298/)**Niccolò Campolungo, Federico Martelli, Francesco Saina et al. · Long Papers · 🏆 Best Resource Paper*20 citations*
8. **[Ditch the Gold Standard: Re-evaluating Conversational Question Answering ↗](https://aclanthology.org/2022.acl-long.555/)**Huihan Li, Tianyu Gao, Manan Goenka et al. · Long Papers · 🏆 Outstanding Paper*17 citations*
9. **[Learned Incremental Representations for Parsing ↗](https://aclanthology.org/2022.acl-long.220/)**Nikita Kitaev, Thomas Lu, Dan Klein · Long Papers · 🏆 Best Paper*14 citations*
10. **[Requirements and Motivations of Low-Resource Speech Synthesis for Language Revitalization ↗](https://aclanthology.org/2022.acl-long.507/)**Aidan Pine, Dan Wells, Nathan Brinklow et al. · Long Papers · 🏆 Best Special Theme Paper*12 citations*
11. **[Active Evaluation: Efficient NLG Evaluation with Few Pairwise Comparisons ↗](https://aclanthology.org/2022.acl-long.600/)**Akash Kumar Mohankumar, Mitesh Khapra · Long Papers · 🏆 Outstanding Paper*4 citations*
12. **[Online Semantic Parsing for Latency Reduction in Task-Oriented Dialogue ↗](https://aclanthology.org/2022.acl-long.110/)**Jiawei Zhou, Jason Eisner, Michael Newman et al. · Long Papers · 🏆 Outstanding Paper*4 citations*

## Most cited papers

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

1. **[GLM: General Language Model Pretraining with Autoregressive Blank Infilling](https://md.research.elamur.ai/free/en/papers/du-2022-glm-general-language-model-pretraining/)**Zhengxiao Du, Yujie Qian, Xiao Liu et al. · Long Papers*955 citations · our summary*
2. **[TruthfulQA: Measuring How Models Mimic Human Falsehoods](https://md.research.elamur.ai/free/en/papers/lin-2022-truthfulqa-measuring-how-models-mimic/)**Stephanie Lin, Jacob Hilton, Owain Evans · Long Papers*845 citations · our summary*
3. **[P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks](https://md.research.elamur.ai/free/en/papers/liu-2022-p-tuning-prompt-tuning-can/)**Xiao Liu, Kaixuan Ji, Yicheng Fu et al. · Short Papers*775 citations · our summary*
4. **[BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models ↗](https://aclanthology.org/2022.acl-short.1/)**Elad Ben Zaken, Yoav Goldberg, Shauli Ravfogel · Short Papers*742 citations*
5. **[Language-agnostic BERT Sentence Embedding](https://md.research.elamur.ai/free/en/papers/feng-2020-language-agnostic-bert-sentence-embedding/)**Fangxiaoyu Feng, Yinfei Yang, Daniel Cer et al. · Long Papers*704 citations · our summary*
6. **[UniXcoder: Unified Cross-Modal Pre-training for Code Representation](https://md.research.elamur.ai/free/en/papers/guo-2022-unixcoder-unified-cross-modal-pre/)**Daya Guo, Shuai Lu, Nan Duan et al. · Long Papers*636 citations · our summary*
7. **[Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity](https://md.research.elamur.ai/free/en/papers/lu-2022-fantastically-ordered-prompts-where-find/)**Yao Lu, Max Bartolo, Alastair Moore et al. · Long Papers · 🏆 Outstanding Paper*585 citations · our summary*
8. **[Unified Structure Generation for Universal Information Extraction ↗](https://aclanthology.org/2022.acl-long.395/)**Yaojie Lu, Qing Liu, Dai Dai et al. · Long Papers*441 citations*
9. **[PPT: Pre-trained Prompt Tuning for Few-shot Learning](https://md.research.elamur.ai/free/en/papers/gu-2022-ppt-pre-trained-prompt-tuning/)**Yuxian Gu, Xu Han, Zhiyuan Liu et al. · Long Papers*335 citations · our summary*
10. **[LinkBERT: Pretraining Language Models with Document Links](https://md.research.elamur.ai/free/en/papers/yasunaga-2022-linkbert-pretraining-language-models-document/)**Michihiro Yasunaga, Jure Leskovec, Percy Liang · Long Papers*327 citations · our summary*

## All accepted papers (774)

The most cited first; 73 with our summary link to their page here, the others to the original.

1. **[GLM: General Language Model Pretraining with Autoregressive Blank Infilling](https://md.research.elamur.ai/free/en/papers/du-2022-glm-general-language-model-pretraining/)**Zhengxiao Du, Yujie Qian, Xiao Liu et al. · Long Papers*955 citations · our summary*
2. **[TruthfulQA: Measuring How Models Mimic Human Falsehoods](https://md.research.elamur.ai/free/en/papers/lin-2022-truthfulqa-measuring-how-models-mimic/)**Stephanie Lin, Jacob Hilton, Owain Evans · Long Papers*845 citations · our summary*
3. **[P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks](https://md.research.elamur.ai/free/en/papers/liu-2022-p-tuning-prompt-tuning-can/)**Xiao Liu, Kaixuan Ji, Yicheng Fu et al. · Short Papers*775 citations · our summary*
4. **[BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models ↗](https://aclanthology.org/2022.acl-short.1/)**Elad Ben Zaken, Yoav Goldberg, Shauli Ravfogel · Short Papers*742 citations*
5. **[Language-agnostic BERT Sentence Embedding](https://md.research.elamur.ai/free/en/papers/feng-2020-language-agnostic-bert-sentence-embedding/)**Fangxiaoyu Feng, Yinfei Yang, Daniel Cer et al. · Long Papers*704 citations · our summary*
6. **[UniXcoder: Unified Cross-Modal Pre-training for Code Representation](https://md.research.elamur.ai/free/en/papers/guo-2022-unixcoder-unified-cross-modal-pre/)**Daya Guo, Shuai Lu, Nan Duan et al. · Long Papers*636 citations · our summary*
7. **[Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity](https://md.research.elamur.ai/free/en/papers/lu-2022-fantastically-ordered-prompts-where-find/)**Yao Lu, Max Bartolo, Alastair Moore et al. · Long Papers · 🏆 Outstanding Paper*585 citations · our summary*
8. **[Unified Structure Generation for Universal Information Extraction ↗](https://aclanthology.org/2022.acl-long.395/)**Yaojie Lu, Qing Liu, Dai Dai et al. · Long Papers*441 citations*
9. **[PPT: Pre-trained Prompt Tuning for Few-shot Learning](https://md.research.elamur.ai/free/en/papers/gu-2022-ppt-pre-trained-prompt-tuning/)**Yuxian Gu, Xu Han, Zhiyuan Liu et al. · Long Papers*335 citations · our summary*
10. **[LinkBERT: Pretraining Language Models with Document Links](https://md.research.elamur.ai/free/en/papers/yasunaga-2022-linkbert-pretraining-language-models-document/)**Michihiro Yasunaga, Jure Leskovec, Percy Liang · Long Papers*327 citations · our summary*
11. **[Deduplicating Training Data Makes Language Models Better ↗](https://aclanthology.org/2022.acl-long.577/)**Katherine Lee, Daphne Ippolito, Andrew Nystrom et al. · Long Papers*286 citations*
12. **[Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification](https://md.research.elamur.ai/free/en/papers/hu-2022-knowledgeable-prompt-tuning-incorporating-knowledge/)**Shengding Hu, Ning Ding, Huadong Wang et al. · Long Papers*265 citations · our summary*
13. **[Cross-Task Generalization via Natural Language Crowdsourcing Instructions ↗](https://aclanthology.org/2022.acl-long.244/)**Swaroop Mishra, Daniel Khashabi, Chitta Baral et al. · Long Papers*264 citations*
14. **[SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Models ↗](https://aclanthology.org/2022.acl-long.295/)**Liang Wang, Wei Zhao, Zhuoyu Wei et al. · Long Papers*264 citations*
15. **[ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection](https://md.research.elamur.ai/free/en/papers/hartvigsen-2022-toxigen-large-scale-machine-generated/)**Thomas Hartvigsen, Saadia Gabriel, Hamid Palangi et al. · Long Papers*255 citations · our summary*
16. **[TimeLMs: Diachronic Language Models from Twitter](https://md.research.elamur.ai/free/en/papers/loureiro-2022-timelms-diachronic-language-models-twitter/)**Daniel Loureiro, Francesco Barbieri, Leonardo Neves et al. · System Demonstrations*246 citations · our summary*
17. **[BRIO: Bringing Order to Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/liu-2022-brio-bringing-order-abstractive-summarization/)**Yixin Liu, Pengfei Liu, Dragomir Radev et al. · Long Papers*212 citations · our summary*
18. **[LexGLUE: A Benchmark Dataset for Legal Language Understanding in English ↗](https://aclanthology.org/2022.acl-long.297/)**Ilias Chalkidis, Abhik Jana, Dirk Hartung et al. · Long Papers*201 citations*
19. **[Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval](https://md.research.elamur.ai/free/en/papers/gao-2022-unsupervised-corpus-aware-language-model/)**Luyu Gao, Jamie Callan · Long Papers*193 citations · our summary*
20. **[Generated Knowledge Prompting for Commonsense Reasoning ↗](https://aclanthology.org/2022.acl-long.225/)**Jiacheng Liu, Alisa Liu, Ximing Lu et al. · Long Papers*191 citations*
21. **[Internet-Augmented Dialogue Generation](https://md.research.elamur.ai/free/en/papers/komeili-2022-internet-augmented-dialogue-generation/)**Mojtaba Komeili, Kurt Shuster, Jason Weston · Long Papers*187 citations · our summary*
22. **[OpenPrompt: An Open-source Framework for Prompt-learning](https://md.research.elamur.ai/free/en/papers/ding-2022-openprompt-open-source-framework-prompt/)**Ning Ding, Shengding Hu, Weilin Zhao et al. · System Demonstrations*185 citations · our summary*
23. **[PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts ↗](https://aclanthology.org/2022.acl-demo.9/)**Stephen H. Bach, Victor Sanh, Zheng-Xin Yong et al. · System Demonstrations*173 citations*
24. **[SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer](https://md.research.elamur.ai/free/en/papers/vu-2022-spot-better-frozen-model-adaptation/)**Tu Vu, Brian Lester, Noah Constant et al. · Long Papers*170 citations · our summary*
25. **[Knowledge Neurons in Pretrained Transformers ↗](https://aclanthology.org/2022.acl-long.581/)**Damai Dai, Li Dong, Yaru Hao et al. · Long Papers*169 citations*

[See all 774 papers in ACL 2022 — accepted papers →](https://md.research.elamur.ai/free/en/venues/acl/2022/papers/)

## Papers with our summary in our library (73)

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

1. **[TruthfulQA: Measuring How Models Mimic Human Falsehoods](https://md.research.elamur.ai/free/en/papers/lin-2022-truthfulqa-measuring-how-models-mimic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Stephanie Lin, Jacob Hilton, Owain Evans*2022 · 2,052 citations*
2. **[GLM: General Language Model Pretraining with Autoregressive Blank Infilling](https://md.research.elamur.ai/free/en/papers/du-2022-glm-general-language-model-pretraining/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhengxiao Du, Yujie Qian, Xiao Liu, et al.*2022 · 1,452 citations*
3. **[Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity](https://md.research.elamur.ai/free/en/papers/lu-2022-fantastically-ordered-prompts-where-find/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yao Lu, Max Bartolo, Alastair Moore, et al.*2022 · 1,190 citations*
4. **[P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks](https://md.research.elamur.ai/free/en/papers/liu-2022-p-tuning-prompt-tuning-can/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiao Liu, Kaixuan Ji, Yicheng Fu, et al.*2022 · 1,013 citations*
5. **[UniXcoder: Unified Cross-Modal Pre-training for Code Representation](https://md.research.elamur.ai/free/en/papers/guo-2022-unixcoder-unified-cross-modal-pre/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Daya Guo, Shuai Lu, Nan Duan, et al.*2022 · 768 citations*
6. **[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/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, et al.*2022 · 711 citations*
7. **[ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection](https://md.research.elamur.ai/free/en/papers/hartvigsen-2022-toxigen-large-scale-machine-generated/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Thomas Hartvigsen, Saadia Gabriel, Hamid Palangi, et al.*2022 · 571 citations*
8. **[Precise Zero-Shot Dense Retrieval without Relevance Labels](https://md.research.elamur.ai/free/en/papers/gao-2022-precise-zero-shot-dense-retrieval/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Luyu Gao, Xueguang Ma, Jimmy Lin, et al.*2022 · 545 citations*
9. **[PPT: Pre-trained Prompt Tuning for Few-shot Learning](https://md.research.elamur.ai/free/en/papers/gu-2022-ppt-pre-trained-prompt-tuning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuxian Gu, Xu Han, Zhiyuan Liu, et al.*2022 · 469 citations*
10. **[LinkBERT: Pretraining Language Models with Document Links](https://md.research.elamur.ai/free/en/papers/yasunaga-2022-linkbert-pretraining-language-models-document/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Michihiro Yasunaga, Jure Leskovec, Percy Liang*2022 · 456 citations*
11. **[Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification](https://md.research.elamur.ai/free/en/papers/hu-2022-knowledgeable-prompt-tuning-incorporating-knowledge/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shengding Hu, Ning Ding, Huadong Wang, et al.*2022 · 362 citations*
12. **[BRIO: Bringing Order to Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/liu-2022-brio-bringing-order-abstractive-summarization/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yixin Liu, Pengfei Liu, Dragomir Radev, et al.*2022 · 358 citations*
13. **[Internet-Augmented Dialogue Generation](https://md.research.elamur.ai/free/en/papers/komeili-2022-internet-augmented-dialogue-generation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mojtaba Komeili, Kurt Shuster, Jason Weston*2022 · 351 citations*
14. **[TimeLMs: Diachronic Language Models from Twitter](https://md.research.elamur.ai/free/en/papers/loureiro-2022-timelms-diachronic-language-models-twitter/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Daniel Loureiro, Francesco Barbieri, Leonardo Neves, et al.*2022 · 331 citations*
15. **[Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval](https://md.research.elamur.ai/free/en/papers/gao-2022-unsupervised-corpus-aware-language-model/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Luyu Gao, Jamie Callan*2022 · 328 citations*
16. **[SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer](https://md.research.elamur.ai/free/en/papers/vu-2022-spot-better-frozen-model-adaptation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tu Vu, Brian Lester, Noah Constant, et al.*2022 · 302 citations*
17. **[Challenges and Strategies in Cross-Cultural NLP](https://md.research.elamur.ai/free/en/papers/hershcovich-2022-challenges-strategies-cross-cultural-nlp/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Daniel Hershcovich, Stella Frank, Heather Lent, et al.*2022 · 290 citations*
18. **[OpenPrompt: An Open-source Framework for Prompt-learning](https://md.research.elamur.ai/free/en/papers/ding-2022-openprompt-open-source-framework-prompt/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ning Ding, Shengding Hu, Weilin Zhao, et al.*2022 · 279 citations*
19. **[CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning](https://md.research.elamur.ai/free/en/papers/das-2022-container-few-shot-named-entity/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sarkar Snigdha Sarathi Das, Arzoo Katiyar, Rebecca Passonneau, et al.*2022 · 233 citations*
20. **[Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction](https://md.research.elamur.ai/free/en/papers/ma-2022-prompt-extraction-paie-prompting-argument/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yubo Ma, Zehao Wang, Yixin Cao, et al.*2022 · 225 citations*
21. **[SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing](https://md.research.elamur.ai/free/en/papers/ao-2022-speecht5-unified-modal-encoder-decoder/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Junyi Ao, Rui Wang, Long Zhou, et al.*2022 · 217 citations*
22. **[Structured Pruning Learns Compact and Accurate Models](https://md.research.elamur.ai/free/en/papers/xia-2022-structured-pruning-learns-compact-accurate/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mengzhou Xia, Zexuan Zhong, Danqi Chen*2022 · 217 citations*
23. **[Systematic Inequalities in Language Technology Performance across the World's Languages](https://md.research.elamur.ai/free/en/papers/blasi-2022-systematic-inequalities-language-technology-performance/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Damian Blasi, Antonios Anastasopoulos, Graham Neubig*2022 · 214 citations*
24. **[An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models](https://md.research.elamur.ai/free/en/papers/meade-2022-empirical-survey-effectiveness-debiasing-techniques/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Nicholas Meade, Elinor Poole-Dayan, Siva Reddy*2022 · 211 citations*
25. **[PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization](https://md.research.elamur.ai/free/en/papers/xiao-2022-primera-pyramid-based-masked-sentence/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wen Xiao, Iz Beltagy, Giuseppe Carenini, et al.*2022 · 205 citations*

[See all 73 works in ACL 2022 — accepted papers →](https://md.research.elamur.ai/free/en/venues/acl/2022/works/)

## Top topics

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

[Language models & pretraining (19)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Sentiment & emotion (7)](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Evaluation & benchmarks (6)](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Reasoning (6)](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Bias, fairness & safety (6)](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [English (6)](https://md.research.elamur.ai/free/en/topics/english/) · [Summarization (5)](https://md.research.elamur.ai/free/en/topics/summarization/) · [Dialogue systems (5)](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Information extraction (3)](https://md.research.elamur.ai/free/en/topics/information-extraction/) · [Speech & spoken language (3)](https://md.research.elamur.ai/free/en/topics/speech/) · [Information retrieval & search (3)](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Vision & language (3)](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Machine translation (2)](https://md.research.elamur.ai/free/en/topics/machine-translation/) · [Text generation (2)](https://md.research.elamur.ai/free/en/topics/text-generation/) · [Multilingual & cross-lingual NLP (2)](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/)

**17 more topics**

[Semitic languages (2)](https://md.research.elamur.ai/free/en/topics/semitic-languages/) · [Idioms & multiword expressions (2)](https://md.research.elamur.ai/free/en/topics/multiword-expressions/) · [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/) · [Coreference resolution (1)](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) · [Word sense disambiguation (1)](https://md.research.elamur.ai/free/en/topics/word-sense-disambiguation/) · [Question answering (1)](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Low-resource languages (1)](https://md.research.elamur.ai/free/en/topics/low-resource-languages/) · [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/) · [Hebrew & Aramaic (1)](https://md.research.elamur.ai/free/en/topics/hebrew-aramaic/) · [Semantic parsing & meaning representation (1)](https://md.research.elamur.ai/free/en/topics/semantic-parsing/) · [Efficient models & compression (1)](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Grammatical error correction & learner language (1)](https://md.research.elamur.ai/free/en/topics/grammatical-error-correction/) · [Historical linguistics & language change (1)](https://md.research.elamur.ai/free/en/topics/language-change/) · [French (1)](https://md.research.elamur.ai/free/en/topics/french/) · [Modern Hebrew (1)](https://md.research.elamur.ai/free/en/topics/modern-hebrew/)

## Fields

[Computer Science (73)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities (70)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Social Sciences (9)](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Neuroscience (1)](https://md.research.elamur.ai/free/en/shelves/neuroscience/) · [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.

[🧑‍🔬**Xiao Liu**3 works here · 2,610 citations](https://md.research.elamur.ai/free/en/authors/xiao-liu/) · [🧑‍🔬**Zhiyuan Liu**3 works here · 1,110 citations](https://md.research.elamur.ai/free/en/authors/zhiyuan-liu/) · [🧑‍🔬**Maosong Sun**3 works here · 830 citations](https://md.research.elamur.ai/free/en/authors/maosong-sun/) · [🧑‍🔬**Graham Neubig**3 works here · 644 citations](https://md.research.elamur.ai/free/en/authors/graham-neubig/) · [🧑‍🔬**Diyi Yang**3 works here · 323 citations](https://md.research.elamur.ai/free/en/authors/diyi-yang/) · [🧑‍🔬**Tongshuang Wu**3 works here · 294 citations](https://md.research.elamur.ai/free/en/authors/tongshuang-wu/) · [🧑‍🔬**Jie Tang**2 works here · 2,465 citations](https://md.research.elamur.ai/free/en/authors/jie-tang/) · [🧑‍🔬**Zhengxiao Du**2 works here · 2,465 citations](https://md.research.elamur.ai/free/en/authors/zhengxiao-du/) · [🧑‍🔬**Zhilin Yang**2 works here · 2,465 citations](https://md.research.elamur.ai/free/en/authors/zhilin-yang/) · [🧑‍🔬**Pontus Stenetorp**2 works here · 1,288 citations](https://md.research.elamur.ai/free/en/authors/pontus-stenetorp/) · [🧑‍🔬**Jamie Callan**2 works here · 873 citations](https://md.research.elamur.ai/free/en/authors/jamie-callan/) · [🧑‍🔬**Luyu Gao**2 works here · 873 citations](https://md.research.elamur.ai/free/en/authors/luyu-gao/)

## Top institutions

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

[🎓**Carnegie Mellon University** Pittsburgh · United States 10 works here](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🔬**Allen Institute for Artificial Intelligence** Seattle · United States 7 works here](https://md.research.elamur.ai/free/en/labs/allen-institute-for-artificial-intelligence/) · [🎓**University of Washington** Seattle · United States 6 works here](https://md.research.elamur.ai/free/en/universities/university-of-washington/) · [🎓**Tsinghua University** Beijing · China 6 works here](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🔬**Beijing Academy of Artificial Intelligence** Beijing · China 5 works here](https://md.research.elamur.ai/free/en/labs/beijing-academy-of-artificial-intelligence/) · [🎓**University of Notre Dame** Notre Dame · United States 4 works here](https://md.research.elamur.ai/free/en/universities/university-of-notre-dame/) · [🏢**Microsoft** Redmond · United States 4 works here](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🏢**Meta** Menlo Park · United States 4 works here](https://md.research.elamur.ai/free/en/companies/meta/) · [🔬**Peng Cheng Laboratory** Shenzhen · China 4 works here](https://md.research.elamur.ai/free/en/labs/peng-cheng-laboratory/) · [🔬**Beijing National Research Center for Information Science and Technology** Beijing · China 4 works here](https://md.research.elamur.ai/free/en/labs/beijing-national-research-center-for-information-science-and-technology/) · [🎓**Georgia Institute of Technology** Atlanta · United States 3 works here](https://md.research.elamur.ai/free/en/universities/georgia-institute-of-technology/) · [🏛️**Chinese Academy of Sciences** Beijing · China 3 works here](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/)

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

- [← previous ACL 2021](https://md.research.elamur.ai/free/en/venues/acl/2021/)
- [next → ACL 2023](https://md.research.elamur.ai/free/en/venues/acl/2023/)
- [↑ back to ACL](https://md.research.elamur.ai/free/en/venues/acl/)