---
title: "NAACL 2022 — accepted papers — Elamur Research"
description: "NAACL 2022 — accepted papers: 33 papers in the Elamur Research library (Seattle, United States), with our summaries, ranked by citations."
canonical: "https://research.elamur.ai/free/en/venues/naacl/2022/"
---
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# NAACL 2022 — accepted papers

NAACL 2022 is the 2022 edition of the Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), held in Seattle, United States, July 2022 (publisher: Association for Computational Linguistics). The ACL Anthology lists 538 papers of it in 5 tracks; our library holds 33 with our summaries. Below: its awards, the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

[**538** papers in the proceedings](#all) · [**33** works in our library](https://md.research.elamur.ai/free/en/venues/naacl/2022/works/) · [**5,818** citations of these works](https://md.research.elamur.ai/free/en/venues/naacl/2022/works/)**Seattle, United States** where it was held**July 2022** when

## Tracks

Main 442Industry Track 40Student Research Workshop 36System Demonstrations 14Tutorial Abstracts 6

## Awards

As the ACL Anthology records them.

1. **[FNet: Mixing Tokens with Fourier Transforms](https://md.research.elamur.ai/free/en/papers/thorp-2022-fnet-mixing-tokens-fourier-transforms/)**James Lee-Thorp, Joshua Ainslie, Ilya Eckstein et al. · 🏆 Best efficient NLP paper*519 citations · our summary*
2. **[NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics](https://md.research.elamur.ai/free/en/papers/lu-2022-neurologic-esque-decoding-constrained-text/)**Ximing Lu, Sean Welleck, Peter West et al. · 🏆 Best new method paper*51 citations · our summary*
3. **[User-Driven Research of Medical Note Generation Software](https://aclanthology.org/2022.naacl-main.29/)**Tom Knoll, Francesco Moramarco, Alex Papadopoulos Korfiatis et al. · 🏆 Best paper on human-centered NLP special theme*20 citations*
4. **[FRUIT: Faithfully Reflecting Updated Information in Text](https://aclanthology.org/2022.naacl-main.269/)**Robert L. Logan IV, Alexandre Passos, Sameer Singh et al. · 🏆 Best new task paper (tied)*14 citations*
5. **[A Balanced Data Approach for Evaluating Cross-Lingual Transfer: Mapping the Linguistic Blood Bank](https://aclanthology.org/2022.naacl-main.361/)**Dan Malkin, Tomasz Limisiewicz, Gabriel Stanovsky · 🏆 Honorable mention for contribution to methods*12 citations*
6. **[NewsEdits: A News Article Revision Dataset and a Novel Document-Level Reasoning Challenge](https://aclanthology.org/2022.naacl-main.10/)**Alexander Spangher, Xiang Ren, Jonathan May et al. · 🏆 Honorable mention for contributions to resources*11 citations*
7. **[Automatic Correction of Human Translations](https://aclanthology.org/2022.naacl-main.36/)**Jessy Lin, Geza Kovacs, Aditya Shastry et al. · 🏆 Best new task (tied) and new resource paper; Honorable mention for contribution to special theme on human-centered NLP*3 citations*

## Most cited papers

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

1. **[FNet: Mixing Tokens with Fourier Transforms](https://md.research.elamur.ai/free/en/papers/thorp-2022-fnet-mixing-tokens-fourier-transforms/)**James Lee-Thorp, Joshua Ainslie, Ilya Eckstein et al. · 🏆 Best efficient NLP paper*519 citations · our summary*
2. **[Learning To Retrieve Prompts for In-Context Learning](https://md.research.elamur.ai/free/en/papers/rubin-2021-learning-retrieve-prompts-context-learning/)**Ohad Rubin, Jonathan Herzig, Jonathan Berant*353 citations · our summary*
3. **[ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction](https://md.research.elamur.ai/free/en/papers/santhanam-2022-colbertv2-effective-efficient-retrieval-lightweight/)**Keshav Santhanam, Omar Khattab, Jon Saad-Falcon et al.*347 citations · our summary*
4. **[Do Prompt-Based Models Really Understand the Meaning of Their Prompts?](https://md.research.elamur.ai/free/en/papers/webson-2022-do-prompt-based-models-really/)**Albert Webson, Ellie Pavlick*193 citations · our summary*
5. **[DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings](https://md.research.elamur.ai/free/en/papers/chuang-2022-diffcse-difference-based-contrastive-learning/)**Yung-Sung Chuang, Rumen Dangovski, Hongyin Luo et al.*165 citations · our summary*
6. **[Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection](https://md.research.elamur.ai/free/en/papers/sap-2022-annotators-attitudes-how-annotator-beliefs/)**Maarten Sap, Swabha Swayamdipta, Laura Vianna et al.*156 citations · our summary*
7. **[Symbolic Knowledge Distillation: from General Language Models to Commonsense Models](https://md.research.elamur.ai/free/en/papers/west-2022-symbolic-knowledge-distillation-general-language/)**Peter West, Chandra Bhagavatula, Jack Hessel et al.*156 citations · our summary*
8. **[COGMEN: COntextualized GNN based Multimodal Emotion recognitioN](https://aclanthology.org/2022.naacl-main.306/)**Abhinav Joshi, Ashwani Bhat, Ayush Jain et al.*155 citations*
9. **[MetaICL: Learning to Learn In Context](https://aclanthology.org/2022.naacl-main.201/)**Sewon Min, Mike Lewis, Luke Zettlemoyer et al.*153 citations*
10. **[SSEGCN: Syntactic and Semantic Enhanced Graph Convolutional Network for Aspect-based Sentiment Analysis](https://aclanthology.org/2022.naacl-main.362/)**Zheng Zhang, Zili Zhou, Yanna Wang*146 citations*

## All accepted papers (538)

The most cited first; 33 with our summary link to their page here, the others to the original.

1. **[FNet: Mixing Tokens with Fourier Transforms](https://md.research.elamur.ai/free/en/papers/thorp-2022-fnet-mixing-tokens-fourier-transforms/)**James Lee-Thorp, Joshua Ainslie, Ilya Eckstein et al. · 🏆 Best efficient NLP paper*519 citations · our summary*
2. **[Learning To Retrieve Prompts for In-Context Learning](https://md.research.elamur.ai/free/en/papers/rubin-2021-learning-retrieve-prompts-context-learning/)**Ohad Rubin, Jonathan Herzig, Jonathan Berant*353 citations · our summary*
3. **[ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction](https://md.research.elamur.ai/free/en/papers/santhanam-2022-colbertv2-effective-efficient-retrieval-lightweight/)**Keshav Santhanam, Omar Khattab, Jon Saad-Falcon et al.*347 citations · our summary*
4. **[Do Prompt-Based Models Really Understand the Meaning of Their Prompts?](https://md.research.elamur.ai/free/en/papers/webson-2022-do-prompt-based-models-really/)**Albert Webson, Ellie Pavlick*193 citations · our summary*
5. **[DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings](https://md.research.elamur.ai/free/en/papers/chuang-2022-diffcse-difference-based-contrastive-learning/)**Yung-Sung Chuang, Rumen Dangovski, Hongyin Luo et al.*165 citations · our summary*
6. **[Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection](https://md.research.elamur.ai/free/en/papers/sap-2022-annotators-attitudes-how-annotator-beliefs/)**Maarten Sap, Swabha Swayamdipta, Laura Vianna et al.*156 citations · our summary*
7. **[Symbolic Knowledge Distillation: from General Language Models to Commonsense Models](https://md.research.elamur.ai/free/en/papers/west-2022-symbolic-knowledge-distillation-general-language/)**Peter West, Chandra Bhagavatula, Jack Hessel et al.*156 citations · our summary*
8. **[COGMEN: COntextualized GNN based Multimodal Emotion recognitioN](https://aclanthology.org/2022.naacl-main.306/)**Abhinav Joshi, Ashwani Bhat, Ayush Jain et al.*155 citations*
9. **[MetaICL: Learning to Learn In Context](https://aclanthology.org/2022.naacl-main.201/)**Sewon Min, Mike Lewis, Luke Zettlemoyer et al.*153 citations*
10. **[SSEGCN: Syntactic and Semantic Enhanced Graph Convolutional Network for Aspect-based Sentiment Analysis](https://aclanthology.org/2022.naacl-main.362/)**Zheng Zhang, Zili Zhou, Yanna Wang*146 citations*
11. **[DEGREE: A Data-Efficient Generation-Based Event Extraction Model](https://md.research.elamur.ai/free/en/papers/hsu-2022-degree-data-efficient-generation-based/)**I-Hung Hsu, Kuan-Hao Huang, Elizabeth Boschee et al.*137 citations · our summary*
12. **[KAT: A Knowledge Augmented Transformer for Vision-and-Language](https://aclanthology.org/2022.naacl-main.70/)**Liangke Gui, Borui Wang, Qiuyuan Huang et al.*119 citations*
13. **[On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models?](https://md.research.elamur.ai/free/en/papers/dziri-2022-origin-hallucinations-conversational-models-is/)**Nouha Dziri, Sivan Milton, Mo Yu et al.*119 citations · our summary*
14. **[QAFactEval: Improved QA-Based Factual Consistency Evaluation for Summarization](https://md.research.elamur.ai/free/en/papers/fabbri-2022-qafacteval-improved-qa-based-factual/)**Alexander Fabbri, Chien-Sheng Wu, Wenhao Liu et al.*114 citations · our summary*
15. **[Template-free Prompt Tuning for Few-shot NER](https://md.research.elamur.ai/free/en/papers/ma-2022-template-free-prompt-tuning-few/)**Ruotian Ma, Xin Zhou, Tao Gui et al.*112 citations · our summary*
16. **[On the Use of Bert for Automated Essay Scoring: Joint Learning of Multi-Scale Essay Representation](https://aclanthology.org/2022.naacl-main.249/)**Yongjie Wang, Chuang Wang, Ruobing Li et al.*111 citations*
17. **[Textless Speech-to-Speech Translation on Real Data](https://aclanthology.org/2022.naacl-main.63/)**Ann Lee, Hongyu Gong, Paul-Ambroise Duquenne et al.*100 citations*
18. **[Re2G: Retrieve, Rerank, Generate](https://md.research.elamur.ai/free/en/papers/glass-2022-re2g-retrieve-rerank-generate/)**Michael Glass, Gaetano Rossiello, Md Faisal Mahbub Chowdhury et al.*95 citations · our summary*
19. **[Reframing Human-AI Collaboration for Generating Free-Text Explanations](https://aclanthology.org/2022.naacl-main.47/)**Sarah Wiegreffe, Jack Hessel, Swabha Swayamdipta et al.*87 citations*
20. **[Measure and Improve Robustness in NLP Models: A Survey](https://md.research.elamur.ai/free/en/papers/wang-2022-measure-improve-robustness-nlp-models/)**Xuezhi Wang, Haohan Wang, Diyi Yang*84 citations · our summary*
21. **[CoMPM: Context Modeling with Speaker's Pre-trained Memory Tracking for Emotion Recognition in Conversation](https://aclanthology.org/2022.naacl-main.416/)**Joosung Lee, Wooin Lee*80 citations*
22. **[ViT5: Pretrained Text-to-Text Transformer for Vietnamese Language Generation](https://aclanthology.org/2022.naacl-srw.18/)**Long Phan, Hieu Tran, Hieu Nguyen et al. · Student Research Workshop*80 citations*
23. **[Two Contrasting Data Annotation Paradigms for Subjective NLP Tasks](https://md.research.elamur.ai/free/en/papers/rottger-2022-two-contrasting-data-annotation-paradigms/)**Paul Röttger, Bertie Vidgen, Dirk Hovy et al.*79 citations · our summary*
24. **[GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval](https://md.research.elamur.ai/free/en/papers/wang-2022-gpl-generative-pseudo-labeling-unsupervised/)**Kexin Wang, Nandan Thakur, Nils Reimers et al.*76 citations · our summary*
25. **[ITA: Image-Text Alignments for Multi-Modal Named Entity Recognition](https://aclanthology.org/2022.naacl-main.232/)**Xinyu Wang, Min Gui, Yong Jiang et al.*76 citations*

[See all 538 papers in NAACL 2022 — accepted papers →](https://md.research.elamur.ai/free/en/venues/naacl/2022/papers/)

## Papers with our summary in our library (33)

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

1. **[FNet: Mixing Tokens with Fourier Transforms](https://md.research.elamur.ai/free/en/papers/thorp-2022-fnet-mixing-tokens-fourier-transforms/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**James Lee-Thorp, Joshua Ainslie, Ilya Eckstein, et al.*2022 · 594 citations*
2. **[ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction](https://md.research.elamur.ai/free/en/papers/santhanam-2022-colbertv2-effective-efficient-retrieval-lightweight/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Keshav Santhanam, Omar Khattab, Jon Saad-Falcon, et al.*2022 · 477 citations*
3. **[Do Prompt-Based Models Really Understand the Meaning of Their Prompts?](https://md.research.elamur.ai/free/en/papers/webson-2022-do-prompt-based-models-really/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Albert Webson, Ellie Pavlick*2022 · 398 citations*
4. **[Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection](https://md.research.elamur.ai/free/en/papers/sap-2022-annotators-attitudes-how-annotator-beliefs/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Maarten Sap, Swabha Swayamdipta, Laura Vianna, et al.*2022 · 365 citations*
5. **[Symbolic Knowledge Distillation: from General Language Models to Commonsense Models](https://md.research.elamur.ai/free/en/papers/west-2022-symbolic-knowledge-distillation-general-language/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Peter West, Chandra Bhagavatula, Jack Hessel, et al.*2022 · 344 citations*
6. **[QAFactEval: Improved QA-Based Factual Consistency Evaluation for Summarization](https://md.research.elamur.ai/free/en/papers/fabbri-2022-qafacteval-improved-qa-based-factual/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Alexander Fabbri, Chien-Sheng Wu, Wenhao Liu, et al.*2022 · 288 citations*
7. **[TRUE: Re-evaluating Factual Consistency Evaluation](https://md.research.elamur.ai/free/en/papers/honovich-2022-true-re-evaluating-factual-consistency/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Or Honovich, Roee Aharoni, Jonathan Herzig, et al.*2022 · 276 citations*
8. **[DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings](https://md.research.elamur.ai/free/en/papers/chuang-2022-diffcse-difference-based-contrastive-learning/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Yung-Sung Chuang, Rumen Dangovski, Hongyin Luo, et al.*2022 · 269 citations*
9. **[DEGREE: A Data-Efficient Generation-Based Event Extraction Model](https://md.research.elamur.ai/free/en/papers/hsu-2022-degree-data-efficient-generation-based/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**I-Hung Hsu, Kuan-Hao Huang, Elizabeth Boschee, et al.*2022 · 227 citations*
10. **[Two Contrasting Data Annotation Paradigms for Subjective NLP Tasks](https://md.research.elamur.ai/free/en/papers/rottger-2022-two-contrasting-data-annotation-paradigms/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Paul Röttger, Bertie Vidgen, Dirk Hovy, et al.*2022 · 219 citations*
11. **[On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models?](https://md.research.elamur.ai/free/en/papers/dziri-2022-origin-hallucinations-conversational-models-is/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Nouha Dziri, Sivan Milton, Mo Yu, et al.*2022 · 205 citations*
12. **[Re2G: Retrieve, Rerank, Generate](https://md.research.elamur.ai/free/en/papers/glass-2022-re2g-retrieve-rerank-generate/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Michael Glass, Gaetano Rossiello, Md Faisal Mahbub Chowdhury, et al.*2022 · 183 citations*
13. **[Template-free Prompt Tuning for Few-shot NER](https://md.research.elamur.ai/free/en/papers/ma-2022-template-free-prompt-tuning-few/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Ruotian Ma, Xin Zhou, Tao Gui, et al.*2022 · 181 citations*
14. **[Lifting the Curse of Multilinguality by Pre-training Modular Transformers](https://md.research.elamur.ai/free/en/papers/pfeiffer-2022-lifting-curse-multilinguality-pre-training/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Jonas Pfeiffer, Naman Goyal, Xi Victoria Lin, et al.*2022 · 172 citations*
15. **[QuALITY: Question Answering with Long Input Texts, Yes!](https://md.research.elamur.ai/free/en/papers/pang-2022-quality-question-answering-long-input/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Richard Yuanzhe Pang, Alicia Parrish, Nitish Joshi, et al.*2022 · 162 citations*
16. **[A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation](https://md.research.elamur.ai/free/en/papers/adelani-2022-few-thousand-translations-go-long/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**David Ifeoluwa Adelani, Jesujoba Oluwadara Alabi, Angela Fan, et al.*2022 · 155 citations*
17. **[GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval](https://md.research.elamur.ai/free/en/papers/wang-2022-gpl-generative-pseudo-labeling-unsupervised/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Kexin Wang, Nandan Thakur, Nils Reimers, et al.*2022 · 155 citations*
18. **[Measure and Improve Robustness in NLP Models: A Survey](https://md.research.elamur.ai/free/en/papers/wang-2022-measure-improve-robustness-nlp-models/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Xuezhi Wang, Haohan Wang, Diyi Yang*2022 · 148 citations*
19. **[Quality-Aware Decoding for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/fernandes-2022-quality-aware-decoding-neural-machine/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Patrick Fernandes, António Farinhas, Ricardo Rei, et al.*2022 · 143 citations*
20. **[NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics](https://md.research.elamur.ai/free/en/papers/lu-2022-neurologic-esque-decoding-constrained-text/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Ximing Lu, Sean Welleck, Peter West, et al.*2022 · 136 citations*
21. **[Testing the Ability of Language Models to Interpret Figurative Language](https://md.research.elamur.ai/free/en/papers/liu-2022-testing-ability-language-models-interpret/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Emmy Liu, Chenxuan Cui, Kenneth Zheng, et al.*2022 · 111 citations*
22. **[Time Waits for No One! Analysis and Challenges of Temporal Misalignment](https://md.research.elamur.ai/free/en/papers/luu-2022-time-waits-no-one-analysis/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Kelvin Luu, Daniel Khashabi, Suchin Gururangan, et al.*2022 · 101 citations*
23. **[FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/wan-2022-factpegasus-factuality-aware-pre-training/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**David Wan, Mohit Bansal*2022 · 101 citations*
24. **[WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models](https://md.research.elamur.ai/free/en/papers/minixhofer-2022-wechsel-effective-initialization-subword-embeddings/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Benjamin Minixhofer, Fabian Paischer, Navid Rekabsaz*2022 · 90 citations*
25. **[BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation](https://md.research.elamur.ai/free/en/papers/jiang-2022-blonde-automatic-evaluation-metric-document/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Yuchen Jiang, Tianyu Liu, Shuming Ma, et al.*2022 · 85 citations*

[See all 33 works in NAACL 2022 — accepted papers →](https://md.research.elamur.ai/free/en/venues/naacl/2022/works/)

## Top topics

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

[Language models & pretraining (5)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Coreference resolution (3)](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) · [Machine translation (3)](https://md.research.elamur.ai/free/en/topics/machine-translation/) · [Information retrieval & search (3)](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Question answering (2)](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Summarization (2)](https://md.research.elamur.ai/free/en/topics/summarization/) · [Multilingual & cross-lingual NLP (2)](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Reasoning (2)](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Semantic parsing & meaning representation (2)](https://md.research.elamur.ai/free/en/topics/semantic-parsing/) · [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/) · [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/) · [Text generation (1)](https://md.research.elamur.ai/free/en/topics/text-generation/) · [Dialogue systems (1)](https://md.research.elamur.ai/free/en/topics/dialogue-systems/)

**5 more topics**

[Evaluation & benchmarks (1)](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Bias, fairness & safety (1)](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Tokenization & segmentation (1)](https://md.research.elamur.ai/free/en/topics/tokenization/) · [Efficient models & compression (1)](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Idioms & multiword expressions (1)](https://md.research.elamur.ai/free/en/topics/multiword-expressions/)

## Fields

[Computer Science (33)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities (32)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Psychology (1)](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Social Sciences (1)](https://md.research.elamur.ai/free/en/shelves/social-sciences/)

## Top authors

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

[🧑‍🔬**Yejin Choi**3 works here · 845 citations](https://md.research.elamur.ai/free/en/authors/yejin-choi/) · [🧑‍🔬**Noah A. Smith**3 works here · 602 citations](https://md.research.elamur.ai/free/en/authors/noah-a-smith/) · [🧑‍🔬**Liwei Jiang**2 works here · 480 citations](https://md.research.elamur.ai/free/en/authors/liwei-jiang/) · [🧑‍🔬**Peter West**2 works here · 480 citations](https://md.research.elamur.ai/free/en/authors/peter-west/) · [🧑‍🔬**Ronan Le Bras**2 works here · 480 citations](https://md.research.elamur.ai/free/en/authors/ronan-le-bras/) · [🧑‍🔬**Sean Welleck**2 works here · 480 citations](https://md.research.elamur.ai/free/en/authors/sean-welleck/) · [🧑‍🔬**Ximing Lu**2 works here · 480 citations](https://md.research.elamur.ai/free/en/authors/ximing-lu/) · [🧑‍🔬**Graham Neubig**2 works here · 254 citations](https://md.research.elamur.ai/free/en/authors/graham-neubig/) · [🧑‍🔬**Daniel Khashabi**2 works here · 237 citations](https://md.research.elamur.ai/free/en/authors/daniel-khashabi/) · [🧑‍🔬**Rachel Rudinger**2 works here · 32 citations](https://md.research.elamur.ai/free/en/authors/rachel-rudinger/) · [🧑‍🔬**James Lee-Thorp**1 work here · 594 citations](https://md.research.elamur.ai/free/en/authors/james-lee-thorp/) · [🧑‍🔬**Joshua Ainslie**1 work here · 594 citations](https://md.research.elamur.ai/free/en/authors/joshua-ainslie/)

## 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/) · [🏢**Google** Mountain View · United States 4 works here](https://md.research.elamur.ai/free/en/companies/google/) · [🔬**Allen Institute for Artificial Intelligence** Seattle · United States 4 works here](https://md.research.elamur.ai/free/en/labs/allen-institute-for-artificial-intelligence/) · [🎓**Carnegie Mellon University** Pittsburgh · United States 4 works here](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🎓**Georgia Institute of Technology** Atlanta · United States 3 works here](https://md.research.elamur.ai/free/en/universities/georgia-institute-of-technology/) · [🎓**New York University** New York · United States 3 works here](https://md.research.elamur.ai/free/en/universities/new-york-university/) · [🏢**Amazon** Seattle · United States 2 works here](https://md.research.elamur.ai/free/en/companies/amazon/) · [🏢**IBM** Armonk · United States 2 works here](https://md.research.elamur.ai/free/en/companies/ibm/) · [🎓**Technische Universität Darmstadt** Darmstadt · Germany 2 works here](https://md.research.elamur.ai/free/en/universities/technische-universitat-darmstadt/) · [🎓**University of Maryland, College Park** College Park · United States 2 works here](https://md.research.elamur.ai/free/en/universities/university-of-maryland-college-park/) · [🎓**Namibia University of Science and Technology** Windhoek · Namibia 1 work here](https://md.research.elamur.ai/free/en/universities/namibia-university-of-science-and-technology/) · [🎓**University of North Carolina at Chapel Hill** Chapel Hill · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-north-carolina-at-chapel-hill/)

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

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