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# Findings of the Association for Computational Linguistics 2022: all accepted papers

1,132 papers · page 1 of 12 · the most cited first · [← Findings of the Association for Computational Linguistics 2022](https://md.research.elamur.ai/free/en/venues/findings/2022/)

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1. **[ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning](https://md.research.elamur.ai/free/en/papers/masry-2022-chartqa-benchmark-question-answering-about/)**Ahmed Masry, Do Xuan Long, Jia Qing Tan et al.*373 citations · our summary*
2. **[Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models](https://md.research.elamur.ai/free/en/papers/ni-2021-sentence-t5-scalable-sentence-encoders/)**Jianmo Ni, Gustavo Hernandez Abrego, Noah Constant et al.*353 citations · our summary*
3. **[LongT5: Efficient Text-To-Text Transformer for Long Sequences](https://md.research.elamur.ai/free/en/papers/guo-2022-longt5-efficient-text-text-transformer/)**Mandy Guo, Joshua Ainslie, David Uthus et al.*228 citations · our summary*
4. **[BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Bangla](https://md.research.elamur.ai/free/en/papers/bhattacharjee-2022-banglabert-language-model-pretraining-benchmarks/)**Abhik Bhattacharjee, Tahmid Hasan, Wasi Ahmad et al.*182 citations · our summary*
5. **[BBQ: A hand-built bias benchmark for question answering](https://md.research.elamur.ai/free/en/papers/parrish-2022-bbq-hand-built-bias-benchmark/)**Alicia Parrish, Angelica Chen, Nikita Nangia et al.*177 citations · our summary*
6. **[Can language models learn from explanations in context?](https://md.research.elamur.ai/free/en/papers/lampinen-2022-can-language-models-learn-explanations/)**Andrew Lampinen, Ishita Dasgupta, Stephanie Chan et al.*140 citations · our summary*
7. **[Prompt-learning for Fine-grained Entity Typing](https://md.research.elamur.ai/free/en/papers/ding-2022-prompt-learning-fine-grained-entity/)**Ning Ding, Yulin Chen, Xu Han et al.*133 citations · our summary*
8. **[Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models](https://md.research.elamur.ai/free/en/papers/iv-2022-cutting-down-prompts-parameters-simple/)**Robert Logan IV, Ivana Balazevic, Eric Wallace et al.*128 citations · our summary*
9. **[Reframing Instructional Prompts to GPTk's Language](https://md.research.elamur.ai/free/en/papers/mishra-2022-reframing-instructional-prompts-gptk-s/)**Swaroop Mishra, Daniel Khashabi, Chitta Baral et al.*126 citations · our summary*
10. **[A Survey on Stance Detection for Mis- and Disinformation Identification](https://md.research.elamur.ai/free/en/papers/hardalov-2022-survey-stance-detection-mis-disinformation/)**Momchil Hardalov, Arnav Arora, Preslav Nakov et al.*125 citations · our summary*
11. **[Good Visual Guidance Make A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction ↗](https://aclanthology.org/2022.findings-naacl.121/)**Xiang Chen, Ningyu Zhang, Lei Li et al.*125 citations*
12. **[CLMLF:A Contrastive Learning and Multi-Layer Fusion Method for Multimodal Sentiment Detection ↗](https://aclanthology.org/2022.findings-naacl.175/)**Zhen Li, Bing Xu, Conghui Zhu et al.*120 citations*
13. **[Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation](https://md.research.elamur.ai/free/en/papers/tan-2022-document-level-relation-extraction-adaptive/)**Qingyu Tan, Ruidan He, Lidong Bing et al.*120 citations · our summary*
14. **[Reinforced Cross-modal Alignment for Radiology Report Generation ↗](https://aclanthology.org/2022.findings-acl.38/)**Han Qin, Yan Song*120 citations*
15. **[WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation](https://md.research.elamur.ai/free/en/papers/liu-2022-wanli-worker-ai-collaboration-natural/)**Alisa Liu, Swabha Swayamdipta, Noah A. Smith et al.*120 citations · our summary*
16. **[Thinking about GPT-3 In-Context Learning for Biomedical IE? Think Again](https://md.research.elamur.ai/free/en/papers/gutierrez-2022-thinking-about-gpt-3-context/)**Bernal Jimenez Gutierrez, Nikolas McNeal, Clayton Washington et al.*115 citations · our summary*
17. **[FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks ↗](https://aclanthology.org/2022.findings-naacl.13/)**Bill Yuchen Lin, Chaoyang He, Zihang Ze et al.*112 citations*
18. **[EmoCaps: Emotion Capsule based Model for Conversational Emotion Recognition ↗](https://aclanthology.org/2022.findings-acl.126/)**Zaijing Li, Fengxiao Tang, Ming Zhao et al.*108 citations*
19. **[Are Large Pre-Trained Language Models Leaking Your Personal Information? ↗](https://aclanthology.org/2022.findings-emnlp.148/)**Jie Huang, Hanyin Shao, Kevin Chen-Chuan Chang*102 citations*
20. **[RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction](https://md.research.elamur.ai/free/en/papers/chia-2022-relationprompt-leveraging-prompts-generate-synthetic/)**Yew Ken Chia, Lidong Bing, Soujanya Poria et al.*91 citations · our summary*
21. **[Decomposed Meta-Learning for Few-Shot Named Entity Recognition ↗](https://aclanthology.org/2022.findings-acl.124/)**Tingting Ma, Huiqiang Jiang, Qianhui Wu et al.*89 citations*
22. **[Language Models as Agent Models](https://md.research.elamur.ai/free/en/papers/andreas-2022-language-models-as-agent-models/)**Jacob Andreas*89 citations · our summary*
23. **[BOOKSUM: A Collection of Datasets for Long-form Narrative Summarization ↗](https://aclanthology.org/2022.findings-emnlp.488/)**Wojciech Kryscinski, Nazneen Rajani, Divyansh Agarwal et al.*88 citations*
24. **[Do Pre-trained Models Benefit Knowledge Graph Completion? A Reliable Evaluation and a Reasonable Approach ↗](https://aclanthology.org/2022.findings-acl.282/)**Xin Lv, Yankai Lin, Yixin Cao et al.*88 citations*
25. **[BiSyn-GAT+: Bi-Syntax Aware Graph Attention Network for Aspect-based Sentiment Analysis ↗](https://aclanthology.org/2022.findings-acl.144/)**Shuo Liang, Wei Wei, Xian-Ling Mao et al.*87 citations*
26. **[XFUND: A Benchmark Dataset for Multilingual Visually Rich Form Understanding ↗](https://aclanthology.org/2022.findings-acl.253/)**Yiheng Xu, Tengchao Lv, Lei Cui et al.*86 citations*
27. **[Impact of Pretraining Term Frequencies on Few-Shot Numerical Reasoning](https://md.research.elamur.ai/free/en/papers/razeghi-2022-impact-pretraining-term-frequencies-few/)**Yasaman Razeghi, Robert L Logan IV, Matt Gardner et al.*85 citations · our summary*
28. **[Label Semantics for Few Shot Named Entity Recognition ↗](https://aclanthology.org/2022.findings-acl.155/)**Jie Ma, Miguel Ballesteros, Srikanth Doss et al.*85 citations*
29. **[Text-Only Training for Image Captioning using Noise-Injected CLIP ↗](https://aclanthology.org/2022.findings-emnlp.299/)**David Nukrai, Ron Mokady, Amir Globerson*85 citations*
30. **[THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption ↗](https://aclanthology.org/2022.findings-acl.277/)**Tianyu Chen, Hangbo Bao, Shaohan Huang et al.*84 citations*
31. **[Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training ↗](https://aclanthology.org/2022.findings-emnlp.67/)**Anthony Meng Huat Tiong, Junnan Li, Boyang Li et al.*83 citations*
32. **[IndicBART: A Pre-trained Model for Indic Natural Language Generation](https://md.research.elamur.ai/free/en/papers/dabre-2022-indicbart-pre-trained-model-indic/)**Raj Dabre, Himani Shrotriya, Anoop Kunchukuttan et al.*78 citations · our summary*
33. **[MWP-BERT: Numeracy-Augmented Pre-training for Math Word Problem Solving ↗](https://aclanthology.org/2022.findings-naacl.74/)**Zhenwen Liang, Jipeng Zhang, Lei Wang et al.*76 citations*
34. **[Eider: Empowering Document-level Relation Extraction with Efficient Evidence Extraction and Inference-stage Fusion ↗](https://aclanthology.org/2022.findings-acl.23/)**Yiqing Xie, Jiaming Shen, Sha Li et al.*75 citations*
35. **[DeepStruct: Pretraining of Language Models for Structure Prediction ↗](https://aclanthology.org/2022.findings-acl.67/)**Chenguang Wang, Xiao Liu, Zui Chen et al.*74 citations*
36. **[UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering](https://md.research.elamur.ai/free/en/papers/oguz-2022-unik-qa-unified-representations-structured/)**Barlas Oguz, Xilun Chen, Vladimir Karpukhin et al.*74 citations · our summary*
37. **[Controllable Natural Language Generation with Contrastive Prefixes](https://md.research.elamur.ai/free/en/papers/qian-2022-controllable-natural-language-generation-contrastive/)**Jing Qian, Li Dong, Yelong Shen et al.*72 citations · our summary*
38. **[Language Models that Seek for Knowledge: Modular Search & Generation for Dialogue and Prompt Completion](https://md.research.elamur.ai/free/en/papers/shuster-2022-language-models-that-seek-knowledge/)**Kurt Shuster, Mojtaba Komeili, Leonard Adolphs et al.*72 citations · our summary*
39. **[MINER: Multi-Interest Matching Network for News Recommendation ↗](https://aclanthology.org/2022.findings-acl.29/)**Jian Li, Jieming Zhu, Qiwei Bi et al.*69 citations*
40. **[Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis ↗](https://aclanthology.org/2022.findings-acl.285/)**Kai Zhang, Kun Zhang, Mengdi Zhang et al.*67 citations*
41. **[Seq2Path: Generating Sentiment Tuples as Paths of a Tree ↗](https://aclanthology.org/2022.findings-acl.174/)**Yue Mao, Yi Shen, Jingchao Yang et al.*66 citations*
42. **[ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document Understanding ↗](https://aclanthology.org/2022.findings-emnlp.274/)**Qiming Peng, Yinxu Pan, Wenjin Wang et al.*65 citations*
43. **[ClinicalT5: A Generative Language Model for Clinical Text ↗](https://aclanthology.org/2022.findings-emnlp.398/)**Qiuhao Lu, Dejing Dou, Thien Nguyen*64 citations*
44. **[Fine-grained Image Captioning with CLIP Reward ↗](https://aclanthology.org/2022.findings-naacl.39/)**Jaemin Cho, Seunghyun Yoon, Ajinkya Kale et al.*64 citations*
45. **[Long Time No See! Open-Domain Conversation with Long-Term Persona Memory ↗](https://aclanthology.org/2022.findings-acl.207/)**Xinchao Xu, Zhibin Gou, Wenquan Wu et al.*63 citations*
46. **[S$^2$SQL: Injecting Syntax to Question-Schema Interaction Graph Encoder for Text-to-SQL Parsers ↗](https://aclanthology.org/2022.findings-acl.99/)**Binyuan Hui, Ruiying Geng, Lihan Wang et al.*63 citations*
47. **[Enabling Multimodal Generation on CLIP via Vision-Language Knowledge Distillation ↗](https://aclanthology.org/2022.findings-acl.187/)**Wenliang Dai, Lu Hou, Lifeng Shang et al.*62 citations*
48. **[Fusing Heterogeneous Factors with Triaffine Mechanism for Nested Named Entity Recognition ↗](https://aclanthology.org/2022.findings-acl.250/)**Zheng Yuan, Chuanqi Tan, Songfang Huang et al.*62 citations*
49. **[Large-Scale Differentially Private BERT ↗](https://aclanthology.org/2022.findings-emnlp.484/)**Rohan Anil, Badih Ghazi, Vineet Gupta et al.*61 citations*
50. **[Great Power, Great Responsibility: Recommendations for Reducing Energy for Training Language Models ↗](https://aclanthology.org/2022.findings-naacl.151/)**Joseph McDonald, Baolin Li, Nathan Frey et al.*60 citations*
51. **[Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards ↗](https://aclanthology.org/2022.findings-emnlp.319/)**Jean-Benoit Delbrouck, Pierre Chambon, Christian Bluethgen et al.*60 citations*
52. **[LEVEN: A Large-Scale Chinese Legal Event Detection Dataset ↗](https://aclanthology.org/2022.findings-acl.17/)**Feng Yao, Chaojun Xiao, Xiaozhi Wang et al.*58 citations*
53. **[Revisiting Transformer-based Models for Long Document Classification ↗](https://aclanthology.org/2022.findings-emnlp.534/)**Xiang Dai, Ilias Chalkidis, Sune Darkner et al.*57 citations*
54. **[Revisiting Uncertainty-based Query Strategies for Active Learning with Transformers ↗](https://aclanthology.org/2022.findings-acl.172/)**Christopher Schröder, Andreas Niekler, Martin Potthast*57 citations*
55. **[Detect Rumors in Microblog Posts for Low-Resource Domains via Adversarial Contrastive Learning ↗](https://aclanthology.org/2022.findings-naacl.194/)**Hongzhan Lin, Jing Ma, Liangliang Chen et al.*56 citations*
56. **[In-Context Learning for Few-Shot Dialogue State Tracking](https://md.research.elamur.ai/free/en/papers/hu-2022-context-learning-few-shot-dialogue/)**Yushi Hu, Chia-Hsuan Lee, Tianbao Xie et al.*56 citations · our summary*
57. **[Transformer Language Models without Positional Encodings Still Learn Positional Information ↗](https://aclanthology.org/2022.findings-emnlp.99/)**Adi Haviv, Ori Ram, Ofir Press et al.*56 citations*
58. **[Few-Shot Self-Rationalization with Natural Language Prompts](https://md.research.elamur.ai/free/en/papers/marasovic-2022-few-shot-self-rationalization-natural/)**Ana Marasovic, Iz Beltagy, Doug Downey et al.*55 citations · our summary*
59. **[Learning Rich Representation of Keyphrases from Text ↗](https://aclanthology.org/2022.findings-naacl.67/)**Mayank Kulkarni, Debanjan Mahata, Ravneet Arora et al.*55 citations*
60. **[MultiVerS: Improving scientific claim verification with weak supervision and full-document context ↗](https://aclanthology.org/2022.findings-naacl.6/)**David Wadden, Kyle Lo, Lucy Lu Wang et al.*55 citations*
61. **[Dict-BERT: Enhancing Language Model Pre-training with Dictionary ↗](https://aclanthology.org/2022.findings-acl.150/)**Wenhao Yu, Chenguang Zhu, Yuwei Fang et al.*54 citations*
62. **[MDERank: A Masked Document Embedding Rank Approach for Unsupervised Keyphrase Extraction ↗](https://aclanthology.org/2022.findings-acl.34/)**Linhan Zhang, Qian Chen, Wen Wang et al.*54 citations*
63. **[Delving Deep into Regularity: A Simple but Effective Method for Chinese Named Entity Recognition ↗](https://aclanthology.org/2022.findings-naacl.143/)**Yingjie Gu, Xiaoye Qu, Zhefeng Wang et al.*53 citations*
64. **[Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding ↗](https://aclanthology.org/2022.findings-acl.16/)**Sijia Wang, Mo Yu, Shiyu Chang et al.*53 citations*
65. **[Seeking Patterns, Not just Memorizing Procedures: Contrastive Learning for Solving Math Word Problems ↗](https://aclanthology.org/2022.findings-acl.195/)**Zhongli Li, Wenxuan Zhang, Chao Yan et al.*52 citations*
66. **[POLITICS: Pretraining with Same-story Article Comparison for Ideology Prediction and Stance Detection](https://md.research.elamur.ai/free/en/papers/liu-2022-politics-pretraining-same-story-article/)**Yujian Liu, Xinliang Frederick Zhang, David Wegsman et al.*51 citations · our summary*
67. **[Logical Fallacy Detection](https://md.research.elamur.ai/free/en/papers/jin-2022-logical-fallacy-detection/)**Zhijing Jin, Abhinav Lalwani, Tejas Vaidhya et al.*50 citations · our summary*
68. **[On the Safety of Conversational Models: Taxonomy, Dataset, and Benchmark](https://md.research.elamur.ai/free/en/papers/sun-2022-safety-conversational-models-taxonomy-dataset/)**Hao Sun, Guangxuan Xu, Jiawen Deng et al.*49 citations · our summary*
69. **[HiSMatch: Historical Structure Matching based Temporal Knowledge Graph Reasoning ↗](https://aclanthology.org/2022.findings-emnlp.542/)**Zixuan Li, Zhongni Hou, Saiping Guan et al.*48 citations*
70. **[Logic-Driven Context Extension and Data Augmentation for Logical Reasoning of Text ↗](https://aclanthology.org/2022.findings-acl.127/)**Siyuan Wang, Wanjun Zhong, Duyu Tang et al.*48 citations*
71. **[MoEfication: Transformer Feed-forward Layers are Mixtures of Experts](https://md.research.elamur.ai/free/en/papers/zhang-2022-moefication-transformer-feed-forward-layers/)**Zhengyan Zhang, Yankai Lin, Zhiyuan Liu et al.*48 citations · our summary*
72. **[Bitext Mining Using Distilled Sentence Representations for Low-Resource Languages](https://md.research.elamur.ai/free/en/papers/heffernan-2022-bitext-mining-distilled-sentence-representations/)**Kevin Heffernan, Onur Çelebi, Holger Schwenk*47 citations · our summary*
73. **[HiStruct+: Improving Extractive Text Summarization with Hierarchical Structure Information ↗](https://aclanthology.org/2022.findings-acl.102/)**Qian Ruan, Malte Ostendorff, Georg Rehm*47 citations*
74. **[Named Entity and Relation Extraction with Multi-Modal Retrieval ↗](https://aclanthology.org/2022.findings-emnlp.437/)**Xinyu Wang, Jiong Cai, Yong Jiang et al.*47 citations*
75. **[Compilable Neural Code Generation with Compiler Feedback ↗](https://aclanthology.org/2022.findings-acl.2/)**Xin Wang, Yasheng Wang, Yao Wan et al.*46 citations*
76. **[MAGMA – Multimodal Augmentation of Generative Models through Adapter-based Finetuning ↗](https://aclanthology.org/2022.findings-emnlp.179/)**Constantin Eichenberg, Sidney Black, Samuel Weinbach et al.*46 citations*
77. **[Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists ↗](https://aclanthology.org/2022.findings-acl.88/)**Giuseppe Attanasio, Debora Nozza, Dirk Hovy et al.*45 citations*
78. **[Exploring the Universal Vulnerability of Prompt-based Learning Paradigm ↗](https://aclanthology.org/2022.findings-naacl.137/)**Lei Xu, Yangyi Chen, Ganqu Cui et al.*45 citations*
79. **[TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning ↗](https://aclanthology.org/2022.findings-naacl.191/)**Yixuan Su, Fangyu Liu, Zaiqiao Meng et al.*45 citations*
80. **[xGQA: Cross-Lingual Visual Question Answering ↗](https://aclanthology.org/2022.findings-acl.196/)**Jonas Pfeiffer, Gregor Geigle, Aishwarya Kamath et al.*45 citations*
81. **[On Measures of Biases and Harms in NLP ↗](https://aclanthology.org/2022.findings-aacl.24/)**Sunipa Dev, Emily Sheng, Jieyu Zhao et al.*43 citations*
82. **[Rethinking Document-level Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/sun-2022-rethinking-document-level-neural-machine/)**Zewei Sun, Mingxuan Wang, Hao Zhou et al.*43 citations · our summary*
83. **[SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency of Adapters ↗](https://aclanthology.org/2022.findings-emnlp.160/)**Shwai He, Liang Ding, Daize Dong et al.*42 citations*
84. **[Domain-matched Pre-training Tasks for Dense Retrieval ↗](https://aclanthology.org/2022.findings-naacl.114/)**Barlas Oguz, Kushal Lakhotia, Anchit Gupta et al.*41 citations*
85. **[Multi-Stage Prompting for Knowledgeable Dialogue Generation ↗](https://aclanthology.org/2022.findings-acl.104/)**Zihan Liu, Mostofa Patwary, Ryan Prenger et al.*41 citations*
86. **[Prompt Consistency for Zero-Shot Task Generalization ↗](https://aclanthology.org/2022.findings-emnlp.192/)**Chunting Zhou, Junxian He, Xuezhe Ma et al.*41 citations*
87. **[SemAttack: Natural Textual Attacks via Different Semantic Spaces ↗](https://aclanthology.org/2022.findings-naacl.14/)**Boxin Wang, Chejian Xu, Xiangyu Liu et al.*41 citations*
88. **[Consistent Representation Learning for Continual Relation Extraction ↗](https://aclanthology.org/2022.findings-acl.268/)**Kang Zhao, Hua Xu, Jiangong Yang et al.*40 citations*
89. **[HiCLRE: A Hierarchical Contrastive Learning Framework for Distantly Supervised Relation Extraction ↗](https://aclanthology.org/2022.findings-acl.202/)**Dongyang Li, Taolin Zhang, Nan Hu et al.*40 citations*
90. **[Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models ↗](https://aclanthology.org/2022.findings-naacl.130/)**Tianlu Wang, Rohit Sridhar, Diyi Yang et al.*40 citations*
91. **[AdaPrompt: Adaptive Model Training for Prompt-based NLP ↗](https://aclanthology.org/2022.findings-emnlp.448/)**Yulong Chen, Yang Liu, Li Dong et al.*39 citations*
92. **[Prompt Tuning for Discriminative Pre-trained Language Models ↗](https://aclanthology.org/2022.findings-acl.273/)**Yuan Yao, Bowen Dong, Ao Zhang et al.*39 citations*
93. **[A Simple yet Effective Relation Information Guided Approach for Few-Shot Relation Extraction ↗](https://aclanthology.org/2022.findings-acl.62/)**Yang Liu, Jinpeng Hu, Xiang Wan et al.*38 citations*
94. **[Improving Conversational Recommendation Systems' Quality with Context-Aware Item Meta-Information ↗](https://aclanthology.org/2022.findings-naacl.4/)**Bowen Yang, Cong Han, Yu Li et al.*38 citations*
95. **[Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One? ↗](https://aclanthology.org/2022.findings-emnlp.19/)**Xilun Chen, Kushal Lakhotia, Barlas Oguz et al.*38 citations*
96. **[The Past Mistake is the Future Wisdom: Error-driven Contrastive Probability Optimization for Chinese Spell Checking ↗](https://aclanthology.org/2022.findings-acl.252/)**Yinghui Li, Qingyu Zhou, Yangning Li et al.*38 citations*
97. **[When Language Model Meets Private Library ↗](https://aclanthology.org/2022.findings-emnlp.21/)**Daoguang Zan, Bei Chen, Zeqi Lin et al.*38 citations*
98. **[Calibrating Factual Knowledge in Pretrained Language Models](https://md.research.elamur.ai/free/en/papers/dong-2022-calibrating-factual-knowledge-pretrained-language/)**Qingxiu Dong, Damai Dai, Yifan Song et al.*37 citations · our summary*
99. **[AdapterBias: Parameter-efficient Token-dependent Representation Shift for Adapters in NLP Tasks ↗](https://aclanthology.org/2022.findings-naacl.199/)**Chin-Lun Fu, Zih-Ching Chen, Yun-Ru Lee et al.*36 citations*
100. **[Knowledge Injected Prompt Based Fine-tuning for Multi-label Few-shot ICD Coding ↗](https://aclanthology.org/2022.findings-emnlp.127/)**Zhichao Yang, Shufan Wang, Bhanu Pratap Singh Rawat et al.*36 citations*

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