---
title: "EMNLP 2021 — all accepted papers — the most cited first"
description: "All 895 papers of EMNLP 2021 · page 1 of 9, the most cited first; those with our summary link to it."
canonical: "https://research.elamur.ai/free/en/venues/emnlp/2021/papers/"
---
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# EMNLP 2021: all accepted papers

895 papers · page 1 of 9 · the most cited first · [← EMNLP 2021](https://md.research.elamur.ai/free/en/venues/emnlp/2021/)

**1** [2](https://md.research.elamur.ai/free/en/venues/emnlp/2021/papers/page/2/) … [9](https://md.research.elamur.ai/free/en/venues/emnlp/2021/papers/page/9/) [next →](https://md.research.elamur.ai/free/en/venues/emnlp/2021/papers/page/2/)

1. **[The Power of Scale for Parameter-Efficient Prompt Tuning ↗](https://aclanthology.org/2021.emnlp-main.243/)**Brian Lester, Rami Al-Rfou, Noah Constant*2,915 citations*
2. **[SimCSE: Simple Contrastive Learning of Sentence Embeddings](https://md.research.elamur.ai/free/en/papers/gao-2021-simcse-simple-contrastive-learning-sentence/)**Tianyu Gao, Xingcheng Yao, Danqi Chen*2,686 citations · our summary*
3. **[CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation ↗](https://aclanthology.org/2021.emnlp-main.685/)**Yue Wang, Weishi Wang, Shafiq Joty et al.*1,423 citations*
4. **[CLIPScore: A Reference-free Evaluation Metric for Image Captioning](https://md.research.elamur.ai/free/en/papers/hessel-2021-clipscore-reference-free-evaluation-metric/)**Jack Hessel, Ari Holtzman, Maxwell Forbes et al.*1,191 citations · our summary*
5. **[Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/han-2021-improving-multimodal-fusion-hierarchical-mutual/)**Wei Han, Hui Chen, Soujanya Poria*515 citations · our summary*
6. **[VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding ↗](https://aclanthology.org/2021.emnlp-main.544/)**Hu Xu, Gargi Ghosh, Po-Yao Huang et al.*450 citations*
7. **[Transformer Feed-Forward Layers Are Key-Value Memories ↗](https://aclanthology.org/2021.emnlp-main.446/)**Mor Geva, Roei Schuster, Jonathan Berant et al.*328 citations*
8. **[Datasets: A Community Library for Natural Language Processing ↗](https://aclanthology.org/2021.emnlp-demo.21/)**Quentin Lhoest, Albert Villanova del Moral, Yacine Jernite et al. · System Demonstrations*327 citations*
9. **[PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models ↗](https://aclanthology.org/2021.emnlp-main.779/)**Torsten Scholak, Nathan Schucher, Dzmitry Bahdanau*323 citations*
10. **[Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus ↗](https://aclanthology.org/2021.emnlp-main.98/)**Jesse Dodge, Maarten Sap, Ana Marasović et al.*289 citations*
11. **[FinQA: A Dataset of Numerical Reasoning over Financial Data](https://md.research.elamur.ai/free/en/papers/chen-2021-finqa-dataset-numerical-reasoning-over/)**Zhiyu Chen, Wenhu Chen, Charese Smiley et al.*241 citations · our summary*
12. **[Aspect Sentiment Quad Prediction as Paraphrase Generation](https://md.research.elamur.ai/free/en/papers/zhang-2021-aspect-sentiment-quad-prediction-as/)**Wenxuan Zhang, Yang Deng, Xin Li et al.*212 citations · our summary*
13. **[Latent Hatred: A Benchmark for Understanding Implicit Hate Speech](https://md.research.elamur.ai/free/en/papers/elsherief-2021-latent-hatred-benchmark-understanding-implicit/)**Mai ElSherief, Caleb Ziems, David Muchlinski et al.*190 citations · our summary*
14. **[ONION: A Simple and Effective Defense Against Textual Backdoor Attacks](https://md.research.elamur.ai/free/en/papers/qi-2021-onion-simple-effective-defense-against/)**Fanchao Qi, Yangyi Chen, Mukai Li et al.*189 citations · our summary*
15. **[TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting ↗](https://aclanthology.org/2021.emnlp-main.655/)**Haohai Sun, Jialun Zhong, Yunpu Ma et al.*187 citations*
16. **[AdapterDrop: On the Efficiency of Adapters in Transformers](https://md.research.elamur.ai/free/en/papers/ruckle-2021-adapterdrop-efficiency-adapters-transformers/)**Andreas Rücklé, Gregor Geigle, Max Glockner et al.*181 citations · our summary*
17. **[Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little](https://md.research.elamur.ai/free/en/papers/sinha-2021-masked-language-modeling-distributional-hypothesis/)**Koustuv Sinha, Robin Jia, Dieuwke Hupkes et al.*181 citations · our summary*
18. **[Editing Factual Knowledge in Language Models ↗](https://aclanthology.org/2021.emnlp-main.522/)**Nicola De Cao, Wilker Aziz, Ivan Titov*176 citations*
19. **[Muppet: Massive Multi-task Representations with Pre-Finetuning](https://md.research.elamur.ai/free/en/papers/aghajanyan-2021-muppet-massive-multi-task-representations/)**Armen Aghajanyan, Anchit Gupta, Akshat Shrivastava et al.*175 citations · our summary*
20. **[Fast WordPiece Tokenization ↗](https://aclanthology.org/2021.emnlp-main.160/)**Xinying Song, Alex Salcianu, Yang Song et al.*172 citations*
21. **[QuestEval: Summarization Asks for Fact-based Evaluation](https://md.research.elamur.ai/free/en/papers/scialom-2021-questeval-summarization-asks-fact-based/)**Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier et al.*169 citations · our summary*
22. **[Condenser: a Pre-training Architecture for Dense Retrieval](https://md.research.elamur.ai/free/en/papers/gao-2021-condenser-pre-training-architecture-dense/)**Luyu Gao, Jamie Callan*161 citations · our summary*
23. **[Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation ↗](https://aclanthology.org/2021.emnlp-main.132/)**Mozhdeh Gheini, Xiang Ren, Jonathan May*151 citations*
24. **[RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking](https://md.research.elamur.ai/free/en/papers/ren-2021-rocketqav2-joint-training-method-dense/)**Ruiyang Ren, Yingqi Qu, Jing Liu et al.*149 citations · our summary*
25. **[A Partition Filter Network for Joint Entity and Relation Extraction ↗](https://aclanthology.org/2021.emnlp-main.17/)**Zhiheng Yan, Chong Zhang, Jinlan Fu et al.*142 citations*
26. **[Joint Multi-modal Aspect-Sentiment Analysis with Auxiliary Cross-modal Relation Detection ↗](https://aclanthology.org/2021.emnlp-main.360/)**Xincheng Ju, Dong Zhang, Rong Xiao et al.*142 citations*
27. **[N-LTP: An Open-source Neural Language Technology Platform for Chinese ↗](https://aclanthology.org/2021.emnlp-demo.6/)**Wanxiang Che, Yunlong Feng, Libo Qin et al. · System Demonstrations*135 citations*
28. **[Active Learning by Acquiring Contrastive Examples ↗](https://aclanthology.org/2021.emnlp-main.51/)**Katerina Margatina, Giorgos Vernikos, Loïc Barrault et al.*134 citations*
29. **[Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning](https://md.research.elamur.ai/free/en/papers/xu-2021-raise-child-large-language-model/)**Runxin Xu, Fuli Luo, Zhiyuan Zhang et al.*133 citations · our summary*
30. **[CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/cao-2021-cliff-contrastive-learning-improving-faithfulness/)**Shuyang Cao, Lu Wang*132 citations · our summary*
31. **[Constrained Language Models Yield Few-Shot Semantic Parsers ↗](https://aclanthology.org/2021.emnlp-main.608/)**Richard Shin, Christopher Lin, Sam Thomson et al.*132 citations*
32. **[Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer](https://md.research.elamur.ai/free/en/papers/qi-2021-mind-style-text-adversarial-backdoor/)**Fanchao Qi, Yangyi Chen, Xurui Zhang et al.*127 citations · our summary*
33. **[Learning Neural Ordinary Equations for Forecasting Future Links on Temporal Knowledge Graphs ↗](https://aclanthology.org/2021.emnlp-main.658/)**Zhen Han, Zifeng Ding, Yunpu Ma et al.*125 citations*
34. **[Block Pruning For Faster Transformers](https://md.research.elamur.ai/free/en/papers/lagunas-2021-block-pruning-faster-transformers/)**François Lagunas, Ella Charlaix, Victor Sanh et al.*123 citations · our summary*
35. **[Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies](https://md.research.elamur.ai/free/en/papers/dev-2021-harms-gender-exclusivity-challenges-non/)**Sunipa Dev, Masoud Monajatipoor, Anaelia Ovalle et al.*123 citations · our summary*
36. **[Surface Form Competition: Why the Highest Probability Answer Isn't Always Right](https://md.research.elamur.ai/free/en/papers/holtzman-2021-surface-form-competition-why-highest/)**Ari Holtzman, Peter West, Vered Shwartz et al.*120 citations · our summary*
37. **[Generating Datasets with Pretrained Language Models](https://md.research.elamur.ai/free/en/papers/schick-2021-generating-datasets-pretrained-language-models/)**Timo Schick, Hinrich Schütze*119 citations · our summary*
38. **[Contrastive Code Representation Learning ↗](https://aclanthology.org/2021.emnlp-main.482/)**Paras Jain, Ajay Jain, Tianjun Zhang et al.*118 citations*
39. **[The Stem Cell Hypothesis: Dilemma behind Multi-Task Learning with Transformer Encoders ↗](https://aclanthology.org/2021.emnlp-main.451/)**Han He, Jinho D. Choi*116 citations*
40. **[Case-based Reasoning for Natural Language Queries over Knowledge Bases ↗](https://aclanthology.org/2021.emnlp-main.755/)**Rajarshi Das, Manzil Zaheer, Dung Thai et al.*115 citations*
41. **[HittER: Hierarchical Transformers for Knowledge Graph Embeddings ↗](https://aclanthology.org/2021.emnlp-main.812/)**Sanxing Chen, Xiaodong Liu, Jianfeng Gao et al.*115 citations*
42. **[XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation](https://md.research.elamur.ai/free/en/papers/ruder-2021-xtreme-r-more-challenging-nuanced/)**Sebastian Ruder, Noah Constant, Jan Botha et al.*115 citations · our summary*
43. **[$Q^2$: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering](https://md.research.elamur.ai/free/en/papers/honovich-2021-q-2-evaluating-factual-consistency/)**Or Honovich, Leshem Choshen, Roee Aharoni et al.*112 citations · our summary*
44. **[Improving and Simplifying Pattern Exploiting Training](https://md.research.elamur.ai/free/en/papers/tam-2021-improving-simplifying-pattern-exploiting-training/)**Derek Tam, Rakesh R. Menon, Mohit Bansal et al.*111 citations · our summary*
45. **[Learning Implicit Sentiment in Aspect-based Sentiment Analysis with Supervised Contrastive Pre-Training ↗](https://aclanthology.org/2021.emnlp-main.22/)**Zhengyan Li, Yicheng Zou, Chong Zhang et al.*109 citations*
46. **[TransferNet: An Effective and Transparent Framework for Multi-hop Question Answering over Relation Graph ↗](https://aclanthology.org/2021.emnlp-main.341/)**Jiaxin Shi, Shulin Cao, Lei Hou et al.*107 citations*
47. **[Gradient-based Adversarial Attacks against Text Transformers](https://md.research.elamur.ai/free/en/papers/guo-2021-gradient-based-adversarial-attacks-against/)**Chuan Guo, Alexandre Sablayrolles, Hervé Jégou et al.*106 citations · our summary*
48. **[Measuring Association Between Labels and Free-Text Rationales](https://md.research.elamur.ai/free/en/papers/wiegreffe-2021-measuring-association-between-labels-free/)**Sarah Wiegreffe, Ana Marasović, Noah A. Smith*105 citations · our summary*
49. **[CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP ↗](https://aclanthology.org/2021.emnlp-main.572/)**Qinyuan Ye, Bill Yuchen Lin, Xiang Ren*103 citations*
50. **[Few-Shot Text Generation with Natural Language Instructions](https://md.research.elamur.ai/free/en/papers/schick-2021-few-shot-text-generation-natural/)**Timo Schick, Hinrich Schütze*103 citations · our summary*
51. **[Few-Shot Named Entity Recognition: An Empirical Baseline Study ↗](https://aclanthology.org/2021.emnlp-main.813/)**Jiaxin Huang, Chunyuan Li, Krishan Subudhi et al.*101 citations*
52. **[Label Verbalization and Entailment for Effective Zero and Few-Shot Relation Extraction](https://md.research.elamur.ai/free/en/papers/sainz-2021-label-verbalization-entailment-effective-zero/)**Oscar Sainz, Oier Lopez de Lacalle, Gorka Labaka et al.*100 citations · our summary*
53. **[Backdoor Attacks on Pre-trained Models by Layerwise Weight Poisoning ↗](https://aclanthology.org/2021.emnlp-main.241/)**Linyang Li, Demin Song, Xiaonan Li et al.*98 citations*
54. **[Entity-Based Knowledge Conflicts in Question Answering](https://md.research.elamur.ai/free/en/papers/longpre-2021-entity-based-knowledge-conflicts-question/)**Shayne Longpre, Kartik Perisetla, Anthony Chen et al.*98 citations · our summary*
55. **[IndoNLG: Benchmark and Resources for Evaluating Indonesian Natural Language Generation ↗](https://aclanthology.org/2021.emnlp-main.699/)**Samuel Cahyawijaya, Genta Indra Winata, Bryan Wilie et al.*98 citations*
56. **[IndoBERTweet: A Pretrained Language Model for Indonesian Twitter with Effective Domain-Specific Vocabulary Initialization ↗](https://aclanthology.org/2021.emnlp-main.833/)**Fajri Koto, Jey Han Lau, Timothy Baldwin*97 citations*
57. **[BERT4GCN: Using BERT Intermediate Layers to Augment GCN for Aspect-based Sentiment Classification ↗](https://aclanthology.org/2021.emnlp-main.724/)**Zeguan Xiao, Jiarun Wu, Qingliang Chen et al.*94 citations*
58. **[Word-Level Coreference Resolution](https://md.research.elamur.ai/free/en/papers/dobrovolskii-2021-word-level-coreference-resolution/)**Vladimir Dobrovolskii*92 citations · our summary*
59. **[Visually Grounded Reasoning across Languages and Cultures ↗](https://aclanthology.org/2021.emnlp-main.818/)**Fangyu Liu, Emanuele Bugliarello, Edoardo Maria Ponti et al.*91 citations*
60. **[Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences ↗](https://aclanthology.org/2021.emnlp-main.54/)**Denis Emelin, Ronan Le Bras, Jena D. Hwang et al.*89 citations*
61. **[Balancing Methods for Multi-label Text Classification with Long-Tailed Class Distribution ↗](https://aclanthology.org/2021.emnlp-main.643/)**Yi Huang, Buse Giledereli, Abdullatif Köksal et al.*87 citations*
62. **[Dialogue State Tracking with a Language Model using Schema-Driven Prompting ↗](https://aclanthology.org/2021.emnlp-main.404/)**Chia-Hsuan Lee, Hao Cheng, Mari Ostendorf*85 citations*
63. **[Explaining Answers with Entailment Trees](https://md.research.elamur.ai/free/en/papers/dalvi-2021-explaining-answers-entailment-trees/)**Bhavana Dalvi, Peter Jansen, Oyvind Tafjord et al.*85 citations · our summary*
64. **[Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders](https://md.research.elamur.ai/free/en/papers/liu-2021-fast-effective-self-supervised-transforming/)**Fangyu Liu, Ivan Vulić, Anna Korhonen et al.*84 citations · our summary*
65. **[MultiEURLEX - A multi-lingual and multi-label legal document classification dataset for zero-shot cross-lingual transfer](https://md.research.elamur.ai/free/en/papers/chalkidis-2021-multieurlex-multi-lingual-multi-label/)**Ilias Chalkidis, Manos Fergadiotis, Ion Androutsopoulos*84 citations · our summary*
66. **[MS\textasciicircum2: Multi-Document Summarization of Medical Studies ↗](https://aclanthology.org/2021.emnlp-main.594/)**Jay DeYoung, Iz Beltagy, Madeleine van Zuylen et al.*83 citations*
67. **[Text2Mol: Cross-Modal Molecule Retrieval with Natural Language Queries](https://md.research.elamur.ai/free/en/papers/edwards-2021-text2mol-cross-modal-molecule-retrieval/)**Carl Edwards, ChengXiang Zhai, Heng Ji*83 citations · our summary*
68. **[Contrastive Explanations for Model Interpretability ↗](https://aclanthology.org/2021.emnlp-main.120/)**Alon Jacovi, Swabha Swayamdipta, Shauli Ravfogel et al.*81 citations*
69. **[Simple Entity-Centric Questions Challenge Dense Retrievers](https://md.research.elamur.ai/free/en/papers/sciavolino-2021-simple-entity-centric-questions-challenge/)**Christopher Sciavolino, Zexuan Zhong, Jinhyuk Lee et al.*81 citations · our summary*
70. **[Understanding and Overcoming the Challenges of Efficient Transformer Quantization ↗](https://aclanthology.org/2021.emnlp-main.627/)**Yelysei Bondarenko, Markus Nagel, Tijmen Blankevoort*81 citations*
71. **[Exploring Underexplored Limitations of Cross-Domain Text-to-SQL Generalization](https://md.research.elamur.ai/free/en/papers/gan-2021-exploring-underexplored-limitations-cross-domain/)**Yujian Gan, Xinyun Chen, Matthew Purver*77 citations · our summary*
72. **[Neural Path Hunter: Reducing Hallucination in Dialogue Systems via Path Grounding](https://md.research.elamur.ai/free/en/papers/dziri-2021-neural-path-hunter-reducing-hallucination/)**Nouha Dziri, Andrea Madotto, Osmar Zaïane et al.*77 citations · our summary*
73. **[Do Transformer Modifications Transfer Across Implementations and Applications? ↗](https://aclanthology.org/2021.emnlp-main.465/)**Sharan Narang, Hyung Won Chung, Yi Tay et al.*76 citations*
74. **[How to Train BERT with an Academic Budget ↗](https://aclanthology.org/2021.emnlp-main.831/)**Peter Izsak, Moshe Berchansky, Omer Levy*76 citations*
75. **[Narrative Theory for Computational Narrative Understanding ↗](https://aclanthology.org/2021.emnlp-main.26/)**Andrew Piper, Richard Jean So, David Bamman*76 citations*
76. **[Not All Negatives are Equal: Label-Aware Contrastive Loss for Fine-grained Text Classification ↗](https://aclanthology.org/2021.emnlp-main.359/)**Varsha Suresh, Desmond C. Ong*75 citations*
77. **[Visual News: Benchmark and Challenges in News Image Captioning ↗](https://aclanthology.org/2021.emnlp-main.542/)**Fuxiao Liu, Yinghan Wang, Tianlu Wang et al.*75 citations*
78. **[A Novel Global Feature-Oriented Relational Triple Extraction Model based on Table Filling ↗](https://aclanthology.org/2021.emnlp-main.208/)**Feiliang Ren, Longhui Zhang, Shujuan Yin et al.*74 citations*
79. **[Exploring Task Difficulty for Few-Shot Relation Extraction ↗](https://aclanthology.org/2021.emnlp-main.204/)**Jiale Han, Bo Cheng, Wei Lu*73 citations*
80. **[Competency Problems: On Finding and Removing Artifacts in Language Data ↗](https://aclanthology.org/2021.emnlp-main.135/)**Matt Gardner, William Merrill, Jesse Dodge et al.*72 citations*
81. **[Continual Learning in Task-Oriented Dialogue Systems ↗](https://aclanthology.org/2021.emnlp-main.590/)**Andrea Madotto, Zhaojiang Lin, Zhenpeng Zhou et al.*72 citations*
82. **[What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers ↗](https://aclanthology.org/2021.emnlp-main.274/)**Boseop Kim, HyoungSeok Kim, Sang-Woo Lee et al.*72 citations*
83. **[NewsCLIPpings: Automatic Generation of Out-of-Context Multimodal Media ↗](https://aclanthology.org/2021.emnlp-main.545/)**Grace Luo, Trevor Darrell, Anna Rohrbach*71 citations*
84. **[UNKs Everywhere: Adapting Multilingual Language Models to New Scripts](https://md.research.elamur.ai/free/en/papers/pfeiffer-2021-unks-everywhere-adapting-multilingual-language/)**Jonas Pfeiffer, Ivan Vulić, Iryna Gurevych et al.*71 citations · our summary*
85. **[Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning ↗](https://aclanthology.org/2021.emnlp-main.144/)**Jianguo Zhang, Trung Bui, Seunghyun Yoon et al.*70 citations*
86. **[What to Pre-Train on? Efficient Intermediate Task Selection](https://md.research.elamur.ai/free/en/papers/poth-2021-what-pre-train-efficient-intermediate/)**Clifton Poth, Jonas Pfeiffer, Andreas Rücklé et al.*70 citations · our summary*
87. **[Contrastive Out-of-Distribution Detection for Pretrained Transformers ↗](https://aclanthology.org/2021.emnlp-main.84/)**Wenxuan Zhou, Fangyu Liu, Muhao Chen*69 citations*
88. **[Deep Attention Diffusion Graph Neural Networks for Text Classification ↗](https://aclanthology.org/2021.emnlp-main.642/)**Yonghao Liu, Renchu Guan, Fausto Giunchiglia et al.*69 citations*
89. **[Evaluating the Robustness of Neural Language Models to Input Perturbations ↗](https://aclanthology.org/2021.emnlp-main.117/)**Milad Moradi, Matthias Samwald*69 citations*
90. **[Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation ↗](https://aclanthology.org/2021.emnlp-main.696/)**Max Bartolo, Tristan Thrush, Robin Jia et al.*69 citations*
91. **[ERNIE-M: Enhanced Multilingual Representation by Aligning Cross-lingual Semantics with Monolingual Corpora](https://md.research.elamur.ai/free/en/papers/ouyang-2020-ernie-m-enhanced-multilingual/)**Xuan Ouyang, Shuohuan Wang, Chao Pang et al.*68 citations · our summary*
92. **[Building and Evaluating Open-Domain Dialogue Corpora with Clarifying Questions ↗](https://aclanthology.org/2021.emnlp-main.367/)**Mohammad Aliannejadi, Julia Kiseleva, Aleksandr Chuklin et al.*67 citations*
93. **[LayoutReader: Pre-training of Text and Layout for Reading Order Detection ↗](https://aclanthology.org/2021.emnlp-main.389/)**Zilong Wang, Yiheng Xu, Lei Cui et al.*67 citations*
94. **[MATE: Multi-view Attention for Table Transformer Efficiency ↗](https://aclanthology.org/2021.emnlp-main.600/)**Julian Eisenschlos, Maharshi Gor, Thomas Müller et al.*67 citations*
95. **[Vision Guided Generative Pre-trained Language Models for Multimodal Abstractive Summarization ↗](https://aclanthology.org/2021.emnlp-main.326/)**Tiezheng Yu, Wenliang Dai, Zihan Liu et al.*67 citations*
96. **[Can Language Models be Biomedical Knowledge Bases?](https://md.research.elamur.ai/free/en/papers/sung-2021-can-language-models-be-biomedical/)**Mujeen Sung, Jinhyuk Lee, Sean Yi et al.*66 citations · our summary*
97. **[Solving Aspect Category Sentiment Analysis as a Text Generation Task ↗](https://aclanthology.org/2021.emnlp-main.361/)**Jian Liu, Zhiyang Teng, Leyang Cui et al.*66 citations*
98. **[All Bark and No Bite: Rogue Dimensions in Transformer Language Models Obscure Representational Quality](https://md.research.elamur.ai/free/en/papers/timkey-2021-all-bark-no-bite-rogue/)**William Timkey, Marten van Schijndel*65 citations · our summary*
99. **[RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models](https://md.research.elamur.ai/free/en/papers/yang-2021-rap-robustness-aware-perturbations-defending/)**Wenkai Yang, Yankai Lin, Peng Li et al.*65 citations · our summary*
100. **[Efficient Nearest Neighbor Language Models](https://md.research.elamur.ai/free/en/papers/he-2021-efficient-nearest-neighbor-language-models/)**Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick*64 citations · our summary*

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