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Who cites Bernardo Magnini

1,454 citations of their works from 1,197 papers of our library (of the 141,840 whose bibliographies we read) · 201 with a page here, the most cited first · page 1 of 3 · 1–100 · ← Bernardo Magnini

Language Models are Few-Shot LearnersarXiv:2005.14165Tom B. Brown, Benjamin Mann, Nick Ryder, et al.2020 · 13,703 citations
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and ComprehensionAnnual Meeting of the Association for Computational Linguistics (ACL)Mike Lewis, Yinhan Liu, Naman Goyal, et al.2020 · 12,784 citations
Exploring the Limits of Transfer Learning with a Unified Text-to-Text TransformerarXiv:1910.10683Colin Raffel, Noam Shazeer, Adam Roberts, et al.2019 · 11,088 citations
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language UnderstandingEMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLPAlex Wang, Amanpreet Singh, Julian Michael, et al.2018 · 7,169 citations
Self-Consistency Improves Chain of Thought Reasoning in Language ModelsarXiv:2203.11171Xuezhi Wang, Jason Wei, Dale Schuurmans, et al.2022 · 3,041 citations
SpanBERT: Improving Pre-training by Representing and Predicting SpansTransactions of the Association for Computational Linguistics (TACL)Mandar Joshi, Danqi Chen, Yinhan Liu, et al.2019 · 2,598 citations
SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding SystemsarXiv:1905.00537Alex Wang, Yada Pruksachatkun, Nikita Nangia, et al.2019 · 2,190 citations
Making Pre-trained Language Models Better Few-shot LearnersAnnual Meeting of the Association for Computational Linguistics (ACL)Tianyu Gao, Adam Fisch, Danqi Chen2021 · 1,963 citations
AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated PromptsConference on Empirical Methods in Natural Language Processing (EMNLP)Taylor Shin, Yasaman Razeghi, Robert L. Logan IV, et al.2020 · 1,886 citations
DeBERTa: Decoding-enhanced BERT with Disentangled AttentionarXiv:2006.03654Pengcheng He, Xiaodong Liu, Jianfeng Gao, et al.2020 · 1,808 citations
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language InferenceR. Thomas McCoy, Ellie Pavlick, Tal Linzen2019 · 1,635 citations
Multitask Prompted Training Enables Zero-Shot Task GeneralizationarXiv:2110.08207Victor Sanh, Albert Webson, Colin Raffel, et al.2021 · 1,581 citations
WordNet Affect: an Affective Extension of WordNetLanguage Resources and Evaluation Conference (LREC)Carlo Strapparava, Alessandro Valitutti2004 · 1,577 citations
GLM: General Language Model Pretraining with Autoregressive Blank InfillingAnnual Meeting of the Association for Computational Linguistics (ACL)Zhengxiao Du, Yujie Qian, Xiao Liu, et al.2022 · 1,452 citations
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?Conference on Empirical Methods in Natural Language Processing (EMNLP)Sewon Min, Xinxi Lyu, Ari Holtzman, et al.2022 · 1,425 citations
Unified Language Model Pre-training for Natural Language Understanding and GenerationarXiv:1905.03197Li Dong, Nan Yang, Wenhui Wang, et al.2019 · 1,406 citations
Climbing towards NLU: On Meaning, Form, and Understanding in the Age of DataAnnual Meeting of the Association for Computational Linguistics (ACL)Emily M. Bender, Alexander Koller2020 · 1,375 citations
DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding SharingarXiv:2111.09543Pengcheng He, Jianfeng Gao, Weizhu Chen2021 · 1,316 citations
Long Short-Term Memory-Networks for Machine ReadingConference on Empirical Methods in Natural Language Processing (EMNLP)Jianpeng Cheng, Li Dong, Mirella Lapata2016 · 1,307 citations
A Comprehensive Overview of Large Language ModelsACM Transactions on Intelligent Systems and TechnologyHumza Naveed, Asad Ullah Khan, Shi Qiu, et al.2023 · 1,286 citations
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order SensitivityAnnual Meeting of the Association for Computational Linguistics (ACL)Yao Lu, Max Bartolo, Alastair Moore, et al.2022 · 1,190 citations
The Stanford Typed Dependencies RepresentationMarie-Catherine de Marneffe, Christopher D. Manning2008 · 1,144 citations
It's Not Just Size That Matters: Small Language Models Are Also Few-Shot LearnersConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Timo Schick, Hinrich Schütze2021 · 1,122 citations
GPT Understands, TooAI OpenXiao Liu, Yanan Zheng, Zhengxiao Du, et al.2021 · 1,045 citations
MPNet: Masked and Permuted Pre-training for Language UnderstandingarXiv:2004.09297Kaitao Song, Xu Tan, Tao Qin, et al.2020 · 948 citations
MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of TextMatthew Richardson, Christopher J.C. Burges, Erin Renshaw2013 · 881 citations
Is ChatGPT a General-Purpose Natural Language Processing Task Solver?Conference on Empirical Methods in Natural Language Processing (EMNLP)Chengwei Qin, Aston Zhang, Zhuosheng Zhang, et al.2023 · 823 citations
Reasoning about Entailment with Neural AttentionarXiv:1509.06664Tim Rocktaschel, Edward Grefenstette, Karl Moritz Hermann, et al.2015 · 791 citations
AdapterHub: A Framework for Adapting TransformersConference on Empirical Methods in Natural Language Processing (EMNLP)Jonas Pfeiffer, Andreas Rücklé, Clifton Poth, et al.2020 · 748 citations
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context LearningConference on Neural Information Processing Systems (NeurIPS)Haokun Liu, Derek Tam, Mohammed Muqeeth, et al.2022 · 736 citations
Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment ApproachConference on Empirical Methods in Natural Language Processing (EMNLP)Wenpeng Yin, Jamaal Hay, Dan Roth2019 · 731 citations
BloombergGPT: A Large Language Model for FinancearXiv:2303.17564Shijie Wu, Ozan Irsoy, Steven Lu, et al.2023 · 612 citations
Argument Mining: A SurveyComputational LinguisticsJohn Lawrence, Chris Reed2019 · 601 citations
Large Language Models Can Self-ImproveConference on Empirical Methods in Natural Language Processing (EMNLP)Jiaxin Huang, Shixiang Gu, Le Hou, et al.2023 · 563 citations
The Natural Language Decathlon: Multitask Learning as Question AnsweringarXiv:1806.08730Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, et al.2018 · 529 citations
Grounding Action Descriptions in VideosTransactions of the Association for Computational Linguistics (TACL)Michaela Regneri, Marcus Rohrbach, Dominikus Wetzel, et al.2013 · 527 citations
SemEval-2014 Task 1: Evaluation of Compositional Distributional Semantic Models on Full Sentences through Semantic Relatedness and Textual EntailmentInternational Workshop on Semantic Evaluation (SemEval)Marco Marelli, Luisa Bentivogli, Marco Baroni, et al.2014 · 526 citations
Fact Checking: Task definition and dataset constructionACL Workshop on Language Technologies and Computational Social ScienceAndreas Vlachos, Sebastian Riedel2014 · 523 citations
TabFact: A Large-scale Dataset for Table-based Fact VerificationarXiv:1909.02164Wenhu Chen, Hongmin Wang, Jianshu Chen, et al.2019 · 508 citations
A Structured Vector Space Model for Word Meaning in ContextConference on Empirical Methods in Natural Language Processing (EMNLP)Katrin Erk, Sebastian Padó2008 · 508 citations
Learning Natural Language Inference with LSTMConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Shuohang Wang, Jing Jiang2016 · 495 citations
Sentence Encoders on STILTs: Supplementary Training on Intermediate Labeled-data TasksarXiv:1811.01088Jason Phang, Thibault Févry, Samuel R. Bowman2018 · 493 citations
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference timearXiv:2203.05482Mitchell Wortsman, Gabriel Ilharco, Samir Yitzhak Gadre, et al.2022 · 476 citations
PPT: Pre-trained Prompt Tuning for Few-shot LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Yuxian Gu, Xu Han, Zhiyuan Liu, et al.2022 · 469 citations
LinkBERT: Pretraining Language Models with Document LinksAnnual Meeting of the Association for Computational Linguistics (ACL)Michihiro Yasunaga, Jure Leskovec, Percy Liang2022 · 456 citations
Inherent Disagreements in Human Textual InferencesEllie Pavlick, Tom Kwiatkowski2019 · 451 citations
FreeLB: Enhanced Adversarial Training for Natural Language UnderstandingarXiv:1909.11764Chen Zhu, Yu Cheng, Zhe Gan, et al.2019 · 446 citations
Finding Predominant Word Senses in Untagged TextDiana McCarthy, Rob Koeling, Julie Weeds, et al.2004 · 445 citations
Ranking Generated Summaries by Correctness: An Interesting but Challenging Application for Natural Language InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Tobias Falke, Leonardo F. R. Ribeiro, Prasetya Ajie Utama, et al.2019 · 444 citations
Pretrained Transformers Improve Out-of-Distribution RobustnessAnnual Meeting of the Association for Computational Linguistics (ACL)Dan Hendrycks, Xiaoyuan Liu, Eric Wallace, et al.2020 · 443 citations
Generating Phrasal and Sentential Paraphrases: A Survey of Data-Driven MethodsNitin Madnani, Bonnie J. Dorr2010 · 426 citations
Measuring the Semantic Similarity of TextsProceedings of the ACL Workshop on Empirical Modeling of Semantic Equivalence and EntailmentCourtney Corley, Rada Mihalcea2005 · 417 citations
True Few-Shot Learning with Language ModelsarXiv:2105.11447Ethan Perez, Douwe Kiela, Kyunghyun Cho2021 · 404 citations
Cheap and Fast – But is it Good? Evaluating Non-Expert Annotations for Natural Language TasksConference on Empirical Methods in Natural Language Processing (EMNLP)Rion Snow, Brendan O'Connor, Daniel Jurafsky, et al.2008 · 392 citations
BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-modelsarXiv:2106.10199Elad Ben-Zaken, Shauli Ravfogel, Yoav Goldberg2021 · 391 citations
UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-TrainingarXiv:2002.12804Hangbo Bao, Li Dong, Furu Wei, et al.2020 · 384 citations
Dialogue Natural Language InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Sean Welleck, Jason Weston, Arthur Szlam, et al.2019 · 384 citations
LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language ModelsarXiv:2308.11462Neel Guha; Julian Nyarko; Daniel E. Ho; Christopher Re; Adam Chilton; Aditya Narayana; Alex Chohlas-Wood; Austin Peters; Brandon Waldon; Daniel N. Rockmore; Diego Zambrano; Dmitry Talisman; Enam Hoque; Faiz Surani; Frank Fagan; Galit Sarfaty; Gregory M. Dickinson; Haggai Porat; Jason Hegland; Jessica Wu; Joe Nudell; Joel Niklaus; John Nay; Jonathan H. Choi; Kevin Tobia; Margaret Hagan; Megan Ma; Michael Livermore; Nikon Rasumov-Rahe; Nils Holzenberger; Noam Kolt; Peter Henderson; Sean Rehaag; Sharad Goel; Shang Gao; Spencer Williams; Sunny Gandhi; Tom Zur; Varun Iyer;, Zehua Li2023 · 381 citations
Editing Models with Task ArithmeticarXiv:2212.04089Gabriel Ilharco, Marco Tulio Ribeiro, Mitchell Wortsman, et al.2022 · 376 citations
The “Problem” of Human Label Variation: On Ground Truth in Data, Modeling and EvaluationConference on Empirical Methods in Natural Language Processing (EMNLP)Barbara Plank2022 · 364 citations
Unnatural Instructions: Tuning Language Models with (Almost) No Human LaborAnnual Meeting of the Association for Computational Linguistics (ACL)Or Honovich, Thomas Scialom, Omer Levy, et al.2023 · 358 citations
Lessons from Natural Language Inference in the Clinical DomainConference on Empirical Methods in Natural Language Processing (EMNLP)Alexey Romanov, Chaitanya Shivade2018 · 348 citations
ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and GenerationarXiv:2107.02137Yu Sun, Shuohuan Wang, Shikun Feng, et al.2021 · 328 citations
How many data points is a prompt worth?Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)Teven Le Scao, Alexander Rush2021 · 316 citations
Neural Natural Language Inference Models Enhanced with External KnowledgeAnnual Meeting of the Association for Computational Linguistics (ACL)Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, et al.2018 · 314 citations
TIES-Merging: Resolving Interference When Merging ModelsConference on Neural Information Processing Systems (NeurIPS)Prateek Yadav, Derek Tam, Leshem Choshen, et al.2023 · 308 citations
Recognising Textual Entailment with Logical InferenceJohan Bos, Katja Markert2005 · 306 citations
Abductive Commonsense ReasoningChandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, et al.2019 · 304 citations
SPoT: Better Frozen Model Adaptation through Soft Prompt TransferAnnual Meeting of the Association for Computational Linguistics (ACL)Tu Vu, Brian Lester, Noah Constant, et al.2022 · 302 citations
Learning to Write with Cooperative DiscriminatorsAnnual Meeting of the Association for Computational Linguistics (ACL)Ari Holtzman, Jan Buys, Maxwell Forbes, et al.2018 · 301 citations
Finding Contradictions in TextAnnual Meeting of the Association for Computational Linguistics (ACL)Marie-Catherine de Marneffe, Anna N. Rafferty, Christopher D. Manning2008 · 301 citations
Want To Reduce Labeling Cost? GPT-3 Can HelpFindings of the Association for Computational LinguisticsShuohang Wang, Yang Liu, Yichong Xu, et al.2021 · 298 citations
SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Haoming Jiang, Pengcheng He, Weizhu Chen, et al.2020 · 295 citations
Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for LittleConference on Empirical Methods in Natural Language Processing (EMNLP)Koustuv Sinha, Robin Jia, Dieuwke Hupkes, et al.2021 · 292 citations
ReClor: A Reading Comprehension Dataset Requiring Logical ReasoningarXiv:2002.04326Weihao Yu, Zihang Jiang, Yanfei Dong, et al.2020 · 285 citations
Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work?Annual Meeting of the Association for Computational Linguistics (ACL)Yada Pruksachatkun, Jason Phang, Haokun Liu, et al.2020 · 281 citations
A Survey of Paraphrasing and Textual Entailment MethodsJournal of Artificial Intelligence ResearchIon Androutsopoulos, Prodromos Malakasiotis2009 · 281 citations
Larger language models do in-context learning differentlyarXiv:2303.03846Jerry Wei, Jason Wei, Yi Tay, et al.2023 · 279 citations
BAM! Born-Again Multi-Task Networks for Natural Language UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Kevin Clark, Minh-Thang Luong, Urvashi Khandelwal, et al.2019 · 279 citations
UKP: Computing Semantic Textual Similarity by Combining Multiple Content Similarity MeasuresJoint Conference on Lexical and Computational Semantics (*SEM)Daniel Bär, Chris Biemann, Iryna Gurevych, et al.2012 · 277 citations
Paraphrase Identification as Probabilistic Quasi-Synchronous RecognitionAnnual Meeting of the Association for Computational Linguistics (ACL)Dipanjan Das, Noah A. Smith2009 · 277 citations
TRUE: Re-evaluating Factual Consistency EvaluationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Or Honovich, Roee Aharoni, Jonathan Herzig, et al.2022 · 276 citations
Surface Form Competition: Why the Highest Probability Answer Isn't Always RightConference on Empirical Methods in Natural Language Processing (EMNLP)Ari Holtzman, Peter West, Vered Shwartz, et al.2021 · 271 citations
Handling Divergent Reference Texts when Evaluating Table-to-Text GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Bhuwan Dhingra, Manaal Faruqui, Ankur Parikh, et al.2019 · 267 citations
A Continuously Growing Dataset of Sentential ParaphrasesConference on Empirical Methods in Natural Language Processing (EMNLP)Wuwei Lan, Siyu Qiu, Hua He, et al.2017 · 265 citations
Multi-Reward Reinforced Summarization with Saliency and EntailmentConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Ramakanth Pasunuru, Mohit Bansal2018 · 253 citations
ZeroGen: Efficient Zero-shot Learning via Dataset GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Jiacheng Ye, Jiahui Gao, Qintong Li, et al.2022 · 242 citations
SemEval-2013 Task 7: The Joint Student Response Analysis and 8th Recognizing Textual Entailment ChallengeJoint Conference on Lexical and Computational Semantics (*SEM)Myroslava Dzikovska, Rodney Nielsen, Chris Brew, et al.2013 · 235 citations
Coreferential Reasoning Learning for Language RepresentationConference on Empirical Methods in Natural Language Processing (EMNLP)Deming Ye, Yankai Lin, Jiaju Du, et al.2020 · 225 citations
Visualizing and Understanding the Effectiveness of BERTConference on Empirical Methods in Natural Language Processing (EMNLP)Yaru Hao, Li Dong, Furu Wei, et al.2019 · 221 citations
What Happens To BERT Embeddings During Fine-tuning?BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLPAmil Merchant, Elahe Rahimtoroghi, Ellie Pavlick, et al.2020 · 218 citations
Evaluating the Logical Reasoning Ability of ChatGPT and GPT-4arXiv:2304.03439Hanmeng Liu, Ruoxi Ning, Zhiyang Teng, et al.2023 · 215 citations
An Empirical Analysis of Formality in Online CommunicationEllie Pavlick, Joel Tetreault2016 · 215 citations
Meaningful Clustering of Senses Helps Boost Word Sense Disambiguation PerformanceAnnual Meeting of the Association for Computational Linguistics (ACL)Roberto Navigli2006 · 213 citations
SemEval-2012 Task 7: Choice of Plausible Alternatives: An Evaluation of Commonsense Causal ReasoningJoint Conference on Lexical and Computational Semantics (*SEM)Andrew Gordon, Zornitsa Kozareva, Melissa Roemmele2012 · 212 citations
Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free LuncharXiv:2311.03099Le Yu, Bowen Yu, Haiyang Yu, et al.2023 · 210 citations
Sources of Hallucination by Large Language Models on Inference TasksFindings of the Association for Computational LinguisticsNick McKenna, Tianyi Li, Liang Cheng, et al.2023 · 209 citations
Generating Training Data with Language Models: Towards Zero-Shot Language UnderstandingarXiv:2202.04538Yu Meng, Jiaxin Huang, Yu Zhang, et al.2022 · 207 citations
Modality and Negation: An Introduction to the Special IssueComputational LinguisticsRoser Morante, Caroline Sporleder2012 · 205 citations
Did It Happen? The Pragmatic Complexity of Veridicality AssessmentComputational LinguisticsMarie-Catherine de Marneffe, Christopher D. Manning, Christopher Potts2012 · 202 citations

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