---
title: "NAACL 2022 — all accepted papers — the most cited first"
description: "All 538 papers of NAACL 2022 · page 1 of 6, the most cited first; those with our summary link to it."
canonical: "https://research.elamur.ai/free/en/venues/naacl/2022/papers/"
---
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# NAACL 2022: all accepted papers

538 papers · page 1 of 6 · the most cited first · [← NAACL 2022](https://md.research.elamur.ai/free/en/venues/naacl/2022/)

**1** [2](https://md.research.elamur.ai/free/en/venues/naacl/2022/papers/page/2/) … [6](https://md.research.elamur.ai/free/en/venues/naacl/2022/papers/page/6/) [next →](https://md.research.elamur.ai/free/en/venues/naacl/2022/papers/page/2/)

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*
26. **[Cross-modal Contrastive Learning for Speech Translation ↗](https://aclanthology.org/2022.naacl-main.376/)**Rong Ye, Mingxuan Wang, Lei Li*75 citations*
27. **[MuCGEC: a Multi-Reference Multi-Source Evaluation Dataset for Chinese Grammatical Error Correction ↗](https://aclanthology.org/2022.naacl-main.227/)**Yue Zhang, Zhenghua Li, Zuyi Bao et al.*64 citations*
28. **[ReFinED: An Efficient Zero-shot-capable Approach to End-to-End Entity Linking ↗](https://aclanthology.org/2022.naacl-industry.24/)**Tom Ayoola, Shubhi Tyagi, Joseph Fisher et al. · Industry Track*64 citations*
29. **[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/)**Jonas Pfeiffer, Naman Goyal, Xi Victoria Lin et al.*63 citations · our summary*
30. **[JointLK: Joint Reasoning with Language Models and Knowledge Graphs for Commonsense Question Answering ↗](https://aclanthology.org/2022.naacl-main.372/)**Yueqing Sun, Qi Shi, Le Qi et al.*62 citations*
31. **[SkillSpan: Hard and Soft Skill Extraction from English Job Postings ↗](https://aclanthology.org/2022.naacl-main.366/)**Mike Zhang, Kristian Jensen, Sif Sonniks et al.*62 citations*
32. **[TRUE: Re-evaluating Factual Consistency Evaluation](https://md.research.elamur.ai/free/en/papers/honovich-2022-true-re-evaluating-factual-consistency/)**Or Honovich, Roee Aharoni, Jonathan Herzig et al.*61 citations · our summary*
33. **[DEMix Layers: Disentangling Domains for Modular Language Modeling ↗](https://aclanthology.org/2022.naacl-main.407/)**Suchin Gururangan, Mike Lewis, Ari Holtzman et al.*60 citations*
34. **[Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for Topics ↗](https://aclanthology.org/2022.naacl-main.285/)**Zihan Zhang, Meng Fang, Ling Chen et al.*60 citations*
35. **[A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction ↗](https://aclanthology.org/2022.naacl-main.370/)**Runxin Xu, Peiyi Wang, Tianyu Liu et al.*58 citations*
36. **[On Transferability of Prompt Tuning for Natural Language Processing ↗](https://aclanthology.org/2022.naacl-main.290/)**Yusheng Su, Xiaozhi Wang, Yujia Qin et al.*57 citations*
37. **[GenIE: Generative Information Extraction ↗](https://aclanthology.org/2022.naacl-main.342/)**Martin Josifoski, Nicola De Cao, Maxime Peyrard et al.*55 citations*
38. **[Measuring Fairness with Biased Rulers: A Comparative Study on Bias Metrics for Pre-trained Language Models ↗](https://aclanthology.org/2022.naacl-main.122/)**Pieter Delobelle, Ewoenam Tokpo, Toon Calders et al.*55 citations*
39. **[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/)**David Wan, Mohit Bansal*54 citations · our summary*
40. **[SKILL: Structured Knowledge Infusion for Large Language Models ↗](https://aclanthology.org/2022.naacl-main.113/)**Fedor Moiseev, Zhe Dong, Enrique Alfonseca et al.*53 citations*
41. **[SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction ↗](https://aclanthology.org/2022.naacl-main.171/)**Yuxin Xiao, Zecheng Zhang, Yuning Mao et al.*52 citations*
42. **[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*
43. **[Analyzing Modality Robustness in Multimodal Sentiment Analysis ↗](https://aclanthology.org/2022.naacl-main.50/)**Devamanyu Hazarika, Yingting Li, Bo Cheng et al.*49 citations*
44. **[Benchmarking Intersectional Biases in NLP ↗](https://aclanthology.org/2022.naacl-main.263/)**John Lalor, Yi Yang, Kendall Smith et al.*49 citations*
45. **[QuALITY: Question Answering with Long Input Texts, Yes!](https://md.research.elamur.ai/free/en/papers/pang-2022-quality-question-answering-long-input/)**Richard Yuanzhe Pang, Alicia Parrish, Nitish Joshi et al.*49 citations · our summary*
46. **[A Study of the Attention Abnormality in Trojaned BERTs ↗](https://aclanthology.org/2022.naacl-main.348/)**Weimin Lyu, Songzhu Zheng, Tengfei Ma et al.*48 citations*
47. **[Retrieval-augmented Generation across Heterogeneous Knowledge ↗](https://aclanthology.org/2022.naacl-srw.7/)**Wenhao Yu · Student Research Workshop*48 citations*
48. **[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/)**David Ifeoluwa Adelani, Jesujoba Oluwadara Alabi, Angela Fan et al.*47 citations · our summary*
49. **[An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling ↗](https://aclanthology.org/2022.naacl-main.369/)**Peiyi Wang, Runxin Xu, Tianyu Liu et al.*45 citations*
50. **[Less is More: Learning to Refine Dialogue History for Personalized Dialogue Generation ↗](https://aclanthology.org/2022.naacl-main.426/)**Hanxun Zhong, Zhicheng Dou, Yutao Zhu et al.*44 citations*
51. **[All You May Need for VQA are Image Captions ↗](https://aclanthology.org/2022.naacl-main.142/)**Soravit Changpinyo, Doron Kukliansy, Idan Szpektor et al.*43 citations*
52. **[Hatemoji: A Test Suite and Adversarially-Generated Dataset for Benchmarking and Detecting Emoji-Based Hate ↗](https://aclanthology.org/2022.naacl-main.97/)**Hannah Kirk, Bertie Vidgen, Paul Rottger et al.*43 citations*
53. **[CONFIT: Toward Faithful Dialogue Summarization with Linguistically-Informed Contrastive Fine-tuning ↗](https://aclanthology.org/2022.naacl-main.415/)**Xiangru Tang, Arjun Nair, Borui Wang et al.*42 citations*
54. **[Global Entity Disambiguation with BERT ↗](https://aclanthology.org/2022.naacl-main.238/)**Ikuya Yamada, Koki Washio, Hiroyuki Shindo et al.*42 citations*
55. **[Triggerless Backdoor Attack for NLP Tasks with Clean Labels ↗](https://aclanthology.org/2022.naacl-main.214/)**Leilei Gan, Jiwei Li, Tianwei Zhang et al.*42 citations*
56. **[Contrastive Data and Learning for Natural Language Processing ↗](https://aclanthology.org/2022.naacl-tutorials.6/)**Rui Zhang, Yangfeng Ji, Yue Zhang et al. · Tutorial Abstracts*41 citations*
57. **[Meta Learning for Natural Language Processing: A Survey ↗](https://aclanthology.org/2022.naacl-main.49/)**Hung-yi Lee, Shang-Wen Li, Thang Vu*41 citations*
58. **[Cross-Domain Detection of GPT-2-Generated Technical Text ↗](https://aclanthology.org/2022.naacl-main.88/)**Juan Diego Rodriguez, Todd Hay, David Gros et al.*40 citations*
59. **[OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering ↗](https://aclanthology.org/2022.naacl-main.68/)**Zhengbao Jiang, Yi Mao, Pengcheng He et al.*40 citations*
60. **[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/)**Emmy Liu, Chenxuan Cui, Kenneth Zheng et al.*40 citations · our summary*
61. **[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/)**Kelvin Luu, Daniel Khashabi, Suchin Gururangan et al.*40 citations · our summary*
62. **[A Robustly Optimized BMRC for Aspect Sentiment Triplet Extraction ↗](https://aclanthology.org/2022.naacl-main.20/)**Shu Liu, Kaiwen Li, Zuhe Li*39 citations*
63. **[Quality-Aware Decoding for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/fernandes-2022-quality-aware-decoding-neural-machine/)**Patrick Fernandes, António Farinhas, Ricardo Rei et al.*39 citations · our summary*
64. **[Learning Cross-Lingual IR from an English Retriever ↗](https://aclanthology.org/2022.naacl-main.329/)**Yulong Li, Martin Franz, Md Arafat Sultan et al.*37 citations*
65. **[FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations ↗](https://aclanthology.org/2022.naacl-main.236/)**Leonardo F. R. Ribeiro, Mengwen Liu, Iryna Gurevych et al.*36 citations*
66. **[Few-Shot Semantic Parsing with Language Models Trained on Code ↗](https://aclanthology.org/2022.naacl-main.396/)**Richard Shin, Benjamin Van Durme*36 citations*
67. **[IDPG: An Instance-Dependent Prompt Generation Method ↗](https://aclanthology.org/2022.naacl-main.403/)**Zhuofeng Wu, Sinong Wang, Jiatao Gu et al.*36 citations*
68. **[KALA: Knowledge-Augmented Language Model Adaptation ↗](https://aclanthology.org/2022.naacl-main.379/)**Minki Kang, Jinheon Baek, Sung Ju Hwang*36 citations*
69. **[EmRel: Joint Representation of Entities and Embedded Relations for Multi-triple Extraction ↗](https://aclanthology.org/2022.naacl-main.48/)**Benfeng Xu, Quan Wang, Yajuan Lyu et al.*35 citations*
70. **[MultiCite: Modeling realistic citations requires moving beyond the single-sentence single-label setting ↗](https://aclanthology.org/2022.naacl-main.137/)**Anne Lauscher, Brandon Ko, Bailey Kuehl et al.*35 citations*
71. **[On the Effect of Pretraining Corpora on In-context Learning by a Large-scale Language Model ↗](https://aclanthology.org/2022.naacl-main.380/)**Seongjin Shin, Sang-Woo Lee, Hwijeen Ahn et al.*35 citations*
72. **[RAAT: Relation-Augmented Attention Transformer for Relation Modeling in Document-Level Event Extraction ↗](https://aclanthology.org/2022.naacl-main.367/)**Yuan Liang, Zhuoxuan Jiang, Di Yin et al.*35 citations*
73. **[Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning ↗](https://aclanthology.org/2022.naacl-main.371/)**Fei Wang, Zhewei Xu, Pedro Szekely et al.*35 citations*
74. **[ConfliBERT: A Pre-trained Language Model for Political Conflict and Violence ↗](https://aclanthology.org/2022.naacl-main.400/)**Yibo Hu, MohammadSaleh Hosseini, Erick Skorupa Parolin et al.*34 citations*
75. **[Generative Biomedical Entity Linking via Knowledge Base-Guided Pre-training and Synonyms-Aware Fine-tuning ↗](https://aclanthology.org/2022.naacl-main.296/)**Hongyi Yuan, Zheng Yuan, Sheng Yu*34 citations*
76. **[Knowledge-Grounded Dialogue Generation with a Unified Knowledge Representation ↗](https://aclanthology.org/2022.naacl-main.15/)**Yu Li, Baolin Peng, Yelong Shen et al.*34 citations*
77. **[Selective Differential Privacy for Language Modeling ↗](https://aclanthology.org/2022.naacl-main.205/)**Weiyan Shi, Aiqi Cui, Evan Li et al.*34 citations*
78. **[AIT-QA: Question Answering Dataset over Complex Tables in the Airline Industry ↗](https://aclanthology.org/2022.naacl-industry.34/)**Yannis Katsis, Saneem Chemmengath, Vishwajeet Kumar et al. · Industry Track*33 citations*
79. **[Diagnosing Vision-and-Language Navigation: What Really Matters ↗](https://aclanthology.org/2022.naacl-main.438/)**Wanrong Zhu, Yuankai Qi, Pradyumna Narayana et al.*33 citations*
80. **[Hate Speech and Counter Speech Detection: Conversational Context Does Matter ↗](https://aclanthology.org/2022.naacl-main.433/)**Xinchen Yu, Eduardo Blanco, Lingzi Hong*33 citations*
81. **[EmpHi: Generating Empathetic Responses with Human-like Intents ↗](https://aclanthology.org/2022.naacl-main.78/)**Mao Yan Chen, Siheng Li, Yujiu Yang*32 citations*
82. **[HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction ↗](https://aclanthology.org/2022.naacl-main.437/)**Shuliang Liu, Xuming Hu, Chenwei Zhang et al.*32 citations*
83. **[Contrastive Learning for Prompt-based Few-shot Language Learners ↗](https://aclanthology.org/2022.naacl-main.408/)**Yiren Jian, Chongyang Gao, Soroush Vosoughi*31 citations*
84. **[Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks](https://md.research.elamur.ai/free/en/papers/asai-2022-evidentiality-guided-generation-knowledge-intensive/)**Akari Asai, Matt Gardner, Hannaneh Hajishirzi*31 citations · our summary*
85. **[Knowledge Inheritance for Pre-trained Language Models ↗](https://aclanthology.org/2022.naacl-main.288/)**Yujia Qin, Yankai Lin, Jing Yi et al.*31 citations*
86. **[Learning to Retrieve Passages without Supervision ↗](https://aclanthology.org/2022.naacl-main.193/)**Ori Ram, Gal Shachaf, Omer Levy et al.*31 citations*
87. **[Joint Extraction of Entities, Relations, and Events via Modeling Inter-Instance and Inter-Label Dependencies ↗](https://aclanthology.org/2022.naacl-main.324/)**Minh Van Nguyen, Bonan Min, Franck Dernoncourt et al.*30 citations*
88. **[Multimodal large language models for inclusive collaboration learning tasks ↗](https://aclanthology.org/2022.naacl-srw.26/)**Armanda Lewis · Student Research Workshop*30 citations*
89. **[Transparent Human Evaluation for Image Captioning ↗](https://aclanthology.org/2022.naacl-main.254/)**Jungo Kasai, Keisuke Sakaguchi, Lavinia Dunagan et al.*30 citations*
90. **[Can Rationalization Improve Robustness? ↗](https://aclanthology.org/2022.naacl-main.278/)**Howard Chen, Jacqueline He, Karthik Narasimhan et al.*29 citations*
91. **[Document-Level Relation Extraction with Sentences Importance Estimation and Focusing ↗](https://aclanthology.org/2022.naacl-main.212/)**Wang Xu, Kehai Chen, Lili Mou et al.*29 citations*
92. **[Many Hands Make Light Work: Using Essay Traits to Automatically Score Essays ↗](https://aclanthology.org/2022.naacl-main.106/)**Rahul Kumar, Sandeep Mathias, Sriparna Saha et al.*29 citations*
93. **[MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation ↗](https://aclanthology.org/2022.naacl-main.116/)**Simiao Zuo, Qingru Zhang, Chen Liang et al.*29 citations*
94. **[MultiSpanQA: A Dataset for Multi-Span Question Answering ↗](https://aclanthology.org/2022.naacl-main.90/)**Haonan Li, Martin Tomko, Maria Vasardani et al.*29 citations*
95. **[Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis ↗](https://aclanthology.org/2022.naacl-main.224/)**Yiwei Wang, Muhao Chen, Wenxuan Zhou et al.*29 citations*
96. **[AcTune: Uncertainty-Based Active Self-Training for Active Fine-Tuning of Pretrained Language Models ↗](https://aclanthology.org/2022.naacl-main.102/)**Yue Yu, Lingkai Kong, Jieyu Zhang et al.*28 citations*
97. **[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/)**Yuchen Jiang, Tianyu Liu, Shuming Ma et al.*28 citations · our summary*
98. **[Improving Compositional Generalization with Latent Structure and Data Augmentation](https://md.research.elamur.ai/free/en/papers/qiu-2022-improving-compositional-generalization-latent-structure/)**Linlu Qiu, Peter Shaw, Panupong Pasupat et al.*28 citations · our summary*
99. **[Learning to Transfer Prompts for Text Generation ↗](https://aclanthology.org/2022.naacl-main.257/)**Junyi Li, Tianyi Tang, Jian-Yun Nie et al.*28 citations*
100. **[On the Machine Learning of Ethical Judgments from Natural Language ↗](https://aclanthology.org/2022.naacl-main.56/)**Zeerak Talat, Hagen Blix, Josef Valvoda et al.*28 citations*

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