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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 2 of 3 · 101–200 · ← Bernardo Magnini

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    A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark DatasetsFindings of the Association for Computational LinguisticsMd Tahmid Rahman Laskar, M Saiful Bari, Mizanur Rahman, et al.2023 · 200 citations
  1. COCO-LM: Correcting and Contrasting Text Sequences for Language Model PretrainingarXiv:2102.08473Yu Meng, Chenyan Xiong, Payal Bajaj, et al.2021 · 196 citations
  2. Paraphrasing for StyleWei Xu, Alan Ritter, Bill Dolan, et al.2012 · 196 citations
    Q²: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP)Or Honovich, Leshem Choshen, Roee Aharoni, et al.2021 · 195 citations
    The Right Tool for the Job: Matching Model and Instance ComplexitiesAnnual Meeting of the Association for Computational Linguistics (ACL)Roy Schwartz, Gabriel Stanovsky, Swabha Swayamdipta, et al.2020 · 194 citations
  3. Making Retrieval-Augmented Language Models Robust to Irrelevant ContextarXiv:2310.01558Ori Yoran, Tomer Wolfson, Ori Ram, et al.2023 · 193 citations
    Exploring and Predicting Transferability across NLP TasksConference on Empirical Methods in Natural Language Processing (EMNLP)Tu Vu, Tong Wang, Tsendsuren Munkhdalai, et al.2020 · 192 citations
    Merging Models with Fisher-Weighted AveragingConference on Neural Information Processing Systems (NeurIPS)Michael Matena, Colin Raffel2021 · 191 citations
  4. Computing relative polarity for textual inferenceRowan Nairn, Cleo Condoravdi, Lauri Karttunen2006 · 191 citations
    Collecting Diverse Natural Language Inference Problems for Sentence Representation EvaluationConference on Empirical Methods in Natural Language Processing (EMNLP)Adam Poliak, Aparajita Haldar, Rachel Rudinger, et al.2018 · 190 citations
    Adapting Language Models to Compress ContextsConference on Empirical Methods in Natural Language Processing (EMNLP)Alexis Chevalier, Alexander Wettig, Anirudh Ajith, et al.2023 · 179 citations
    What Makes Reading Comprehension Questions Easier?Conference on Empirical Methods in Natural Language Processing (EMNLP)Saku Sugawara, Kentaro Inui, Satoshi Sekine, et al.2018 · 178 citations
    Debiasing Pre-trained Contextualised EmbeddingsConference of the European Chapter of the Association for Computational Linguistics (EACL)Masahiro Kaneko, Danushka Bollegala2021 · 174 citations
    Reasoning Over Paragraph Effects in SituationsWorkshop on Machine Reading for Question AnsweringKevin Lin, Oyvind Tafjord, Peter Clark, et al.2019 · 174 citations
    Label Verbalization and Entailment for Effective Zero and Few-Shot Relation ExtractionConference on Empirical Methods in Natural Language Processing (EMNLP)Oscar Sainz, Oier Lopez de Lacalle, Gorka Labaka, et al.2021 · 167 citations
    Generating Coherent Event Schemas at ScaleConference on Empirical Methods in Natural Language Processing (EMNLP)Niranjan Balasubramanian, Stephen Soderland, Mausam, et al.2013 · 165 citations
  5. Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESuppositionPaloma Jeretic, Alex Warstadt, Suvrat Bhooshan, et al.2020 · 161 citations
    Understanding tables with intermediate pre-trainingFindings of the Association for Computational LinguisticsJulian Eisenschlos, Syrine Krichene, Thomas Müller2020 · 158 citations
  6. Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and MitigationarXiv:2305.15852Niels Mundler, Jingxuan He, Slobodan Jenko, et al.2023 · 150 citations
    INFOTABS: Inference on Tables as Semi-structured DataAnnual Meeting of the Association for Computational Linguistics (ACL)Vivek Gupta, Maitrey Mehta, Pegah Nokhiz, et al.2020 · 150 citations
    Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding TasksConference on Empirical Methods in Natural Language Processing (EMNLP)Zi-Yi Dou, Keyi Yu, Antonios Anastasopoulos2019 · 150 citations
    HyperLex: A Large-Scale Evaluation of Graded Lexical EntailmentComputational LinguisticsIvan Vulić, Daniela Gerz, Douwe Kiela, et al.2017 · 148 citations
    Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and EvaluationFindings of the Association for Computational LinguisticsMarius Mosbach, Tiago Pimentel, Shauli Ravfogel, et al.2023 · 147 citations
    Full Parameter Fine-tuning for Large Language Models with Limited ResourcesAnnual Meeting of the Association for Computational Linguistics (ACL)Kai Lv, Yuqing Yang, Tengxiao Liu, et al.2024 · 143 citations
    Probing the Probing Paradigm: Does Probing Accuracy Entail Task Relevance?Conference of the European Chapter of the Association for Computational Linguistics (EACL)Abhilasha Ravichander, Yonatan Belinkov, Eduard Hovy2021 · 141 citations
  7. Attributed Question Answering: Evaluation and Modeling for Attributed Large Language ModelsarXiv:2212.08037Bernd Bohnet, Vinh Q. Tran, Pat Verga, et al.2022 · 136 citations
  8. Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and ApproachesarXiv:1904.01172Shane Storks, Qiaozi Gao, Joyce Y. Chai2019 · 134 citations
  9. The Parallel Meaning Bank: Towards a Multilingual Corpus of Translations Annotated with Compositional Meaning RepresentationsLasha Abzianidze, Johannes Bjerva, Kilian Evang, et al.2017 · 134 citations
    AdaMix: Mixture-of-Adaptations for Parameter-efficient Model TuningConference on Empirical Methods in Natural Language Processing (EMNLP)Yaqing Wang, Sahaj Agarwal, Subhabrata Mukherjee, et al.2022 · 132 citations
    FLUTE: Figurative Language Understanding through Textual ExplanationsConference on Empirical Methods in Natural Language Processing (EMNLP)Tuhin Chakrabarty, Arkadiy Saakyan, Debanjan Ghosh, et al.2022 · 132 citations
    UnNatural Language InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Koustuv Sinha, Prasanna Parthasarathi, Joelle Pineau, et al.2021 · 132 citations
    What to Pre-Train on? Efficient Intermediate Task SelectionConference on Empirical Methods in Natural Language Processing (EMNLP)Clifton Poth, Jonas Pfeiffer, Andreas Rücklé, et al.2021 · 132 citations
  10. An Analysis of Natural Language Inference Benchmarks through the Lens of NegationMd Mosharaf Hossain, Venelin Kovatchev, Pranoy Dutta, et al.2020 · 130 citations
  11. Time Travel in LLMs: Tracing Data Contamination in Large Language ModelsarXiv:2308.08493Shahriar Golchin, Mihai Surdeanu2023 · 127 citations
  12. EQUATE: A Benchmark Evaluation Framework for Quantitative Reasoning in Natural Language InferenceAbhilasha Ravichander, Aakanksha Naik, Carolyn Rose, et al.2019 · 122 citations
    ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft PromptsConference on Empirical Methods in Natural Language Processing (EMNLP)Akari Asai, Mohammadreza Salehi, Matthew Peters, et al.2022 · 121 citations
    Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Yonatan Belinkov, Adam Poliak, Stuart Shieber, et al.2019 · 121 citations
    I-BERT: Integer-only BERT QuantizationInternational Conference on Machine Learning (ICML)Sehoon Kim, Amir Gholami, Zhewei Yao, et al.2021 · 120 citations
  13. Pretraining Language Models with Human PreferencesarXiv:2302.08582Tomasz Korbak, Kejian Shi, Angelica Chen, et al.2023 · 118 citations
    Ground-Truth Labels Matter: A Deeper Look into Input-Label DemonstrationsConference on Empirical Methods in Natural Language Processing (EMNLP)Kang Min Yoo, Junyeob Kim, Hyuhng Joon Kim, et al.2022 · 113 citations
  14. Inference is Everything: Recasting Semantic Resources into a Unified Evaluation FrameworkAaron Steven White, Pushpendre Rastogi, Kevin Duh, et al.2017 · 110 citations
    WiCE: Real-World Entailment for Claims in WikipediaConference on Empirical Methods in Natural Language Processing (EMNLP)Ryo Kamoi, Tanya Goyal, Juan Diego Rodriguez, et al.2023 · 109 citations
    “Ask Not What Textual Entailment Can Do for You...”Annual Meeting of the Association for Computational Linguistics (ACL)Mark Sammons, V.G.Vinod Vydiswaran, Dan Roth2010 · 108 citations
    End-to-End Bias Mitigation by Modelling Biases in CorporaAnnual Meeting of the Association for Computational Linguistics (ACL)Rabeeh Karimi Mahabadi, Yonatan Belinkov, James Henderson2020 · 107 citations
    Uncertain Natural Language InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Tongfei Chen, Zhengping Jiang, Adam Poliak, et al.2020 · 103 citations
    Parallel Context Windows for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Nir Ratner, Yoav Levine, Yonatan Belinkov, et al.2023 · 102 citations
  15. MMTEB: Massive Multilingual Text Embedding BenchmarkarXiv:2502.13595Kenneth Enevoldsen, Isaac Chung, Imene Kerboua, et al.2025 · 101 citations
    I like fish, especially dolphins: Addressing Contradictions in Dialogue ModelingAnnual Meeting of the Association for Computational Linguistics (ACL)Yixin Nie, Mary Williamson, Mohit Bansal, et al.2021 · 101 citations
    Understanding by Understanding Not: Modeling Negation in Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Arian Hosseini, Siva Reddy, Dzmitry Bahdanau, et al.2021 · 98 citations
    First Align, then Predict: Understanding the Cross-Lingual Ability of Multilingual BERTConference of the European Chapter of the Association for Computational Linguistics (EACL)Benjamin Muller, Yanai Elazar, Benoît Sagot, et al.2021 · 87 citations
  16. Tree Edit Models for Recognizing Textual Entailments, Paraphrases, and Answers to QuestionsMichael Heilman, Noah A. Smith2010 · 86 citations
    A Context-Theoretic Framework for Compositionality in Distributional SemanticsComputational LinguisticsDaoud Clarke2012 · 84 citations
    Mitigating Label Biases for In-context LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Yu Fei, Yifan Hou, Zeming Chen, et al.2023 · 79 citations
    Generating Entailment Rules from FrameNetAnnual Meeting of the Association for Computational Linguistics (ACL)Roni Ben Aharon, Idan Szpektor, Ido Dagan2010 · 71 citations
    Model Editing Harms General Abilities of Large Language Models: Regularization to the RescueConference on Empirical Methods in Natural Language Processing (EMNLP)Jia-Chen Gu, Hao-Xiang Xu, Jun-Yu Ma, et al.2024 · 66 citations
    Figurative Language in Recognizing Textual EntailmentFindings of the Association for Computational LinguisticsTuhin Chakrabarty, Debanjan Ghosh, Adam Poliak, et al.2021 · 63 citations
  17. How well do NLI models capture verb veridicality?Alexis Ross, Ellie Pavlick2019 · 61 citations
  18. Temporal Reasoning in Natural Language InferenceSiddharth Vashishtha, Adam Poliak, Yash Kumar Lal, et al.2020 · 57 citations
    SciNLI: A Corpus for Natural Language Inference on Scientific TextAnnual Meeting of the Association for Computational Linguistics (ACL)Mobashir Sadat, Cornelia Caragea2022 · 43 citations
    Syntactic/Semantic Structures for Textual Entailment RecognitionConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Yashar Mehdad, Alessandro Moschitti, Fabio Massimo Zanzotto2010 · 43 citations
  19. NOPE: A Corpus of Naturally-Occurring Presuppositions in EnglishAlicia Parrish, Sebastian Schuster, Alex Warstadt, et al.2021 · 40 citations
    Identifying inherent disagreement in natural language inferenceConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Xinliang Frederick Zhang, Marie-Catherine de Marneffe2021 · 38 citations
    An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language InferenceConference on Computational Natural Language Learning (CoNLL)Tianyu Liu, Xin Zheng, Xiaoan Ding, et al.2020 · 36 citations
    FATE: a FrameNet-Annotated Corpus for Textual EntailmentLanguage Resources and Evaluation Conference (LREC)Aljoscha Burchardt, Marco Pennacchiotti2008 · 35 citations
    BIUTEE: A Modular Open-Source System for Recognizing Textual EntailmentAnnual Meeting of the Association for Computational Linguistics (ACL)Asher Stern, Ido Dagan2012 · 31 citations
    Integrating WordNet and FrameNet using a Knowledge-based Word Sense Disambiguation AlgorithmRecent Advances in Natural Language Processing (RANLP)Egoitz Laparra, German Rigau2009 · 30 citations
    HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language InferenceLanguage Resources and Evaluation Conference (LREC)Tianyu Liu, Xin Zheng, Baobao Chang, et al.2020 · 27 citations
    New Protocols and Negative Results for Textual Entailment Data CollectionConference on Empirical Methods in Natural Language Processing (EMNLP)Samuel R. Bowman, Jennimaria Palomaki, Livio Baldini Soares, et al.2020 · 27 citations
    Not another Negation Benchmark: The NaN-NLI Test Suite for Sub-clausal NegationConference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL)Hung Thinh Truong, Yulia Otmakhova, Timothy Baldwin, et al.2022 · 24 citations
  20. Beyond Leaderboards: A survey of methods for revealing weaknesses in Natural Language Inference data and modelsarXiv:2005.14709Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro2020 · 24 citations
    New Features for FrameNet - WordNet MappingConference on Computational Natural Language Learning (CoNLL)Sara Tonelli, Daniele Pighin2009 · 24 citations
    Getting Reliable Annotations for Sarcasm in Online DialoguesLanguage Resources and Evaluation Conference (LREC)Reid Swanson, Stephanie Lukin, Luke Eisenberg, et al.2014 · 23 citations
  21. Learning Scalar Adjective Intensity from ParaphrasesAnne Cocos, Skyler Wharton, Ellie Pavlick, et al.2018 · 21 citations
    Is there a place for logic in recognizing textual entailmentLinguistic Issues in Language TechnologyJohan Bos2014 · 18 citations
    Partial-input baselines show that NLI models can ignore context, but they don't.Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)Neha Srikanth, Rachel Rudinger2022 · 13 citations
  22. Non-entailed subsequences as a challenge for natural language inferencearXiv:1811.12112R. Thomas McCoy, Tal Linzen2018 · 13 citations
    eXtended WordFrameNetLanguage Resources and Evaluation Conference (LREC)Egoitz Laparra, German Rigau2010 · 13 citations
    Investigating the Performance of Transformer-Based NLI Models on Presuppositional InferencesInternational Conference on Computational Linguistics (COLING)Jad Kabbara, Jackie Chi Kit Cheung2022 · 12 citations
  23. Multi-word expressions in textual inference: Much ado about nothing?Marie-Catherine de Marneffe, Sebastian Padó, Christopher D. Manning2009 · 12 citations
    How Often Are Errors in Natural Language Reasoning Due to Paraphrastic Variability?Transactions of the Association for Computational Linguistics (TACL)Neha Srikanth, Marine Carpuat, Rachel Rudinger2024 · 10 citations
    How Fast can BERT Learn Simple Natural Language Inference?Conference of the European Chapter of the Association for Computational Linguistics (EACL)Yi-Chung Lin, Keh-Yih Su2021 · 10 citations
    Recognizing Textual Entailment Using Probabilistic InferenceConference on Empirical Methods in Natural Language Processing (EMNLP)Lei Sha, Sujian Li, Baobao Chang, et al.2015 · 10 citations
    A Rose by Any Other Name: LLM-Generated Explanations Are Good Proxies for Human Explanations to Collect Label Distributions on NLIFindings of the Association for Computational LinguisticsBeiduo Chen, Siyao Peng, Anna Korhonen, et al.2025 · 9 citations
  24. Automatic Identification of Infrequent Word SensesDiana McCarthy, Rob Koeling, Julie Weeds, et al.2004 · 9 citations
    Simple but Challenging: Natural Language Inference Models Fail on Simple SentencesFindings of the Association for Computational LinguisticsCheng Luo, Wei Liu, Jieyu Lin, et al.2022 · 7 citations
    Recognizing Textual Entailment in Twitter Using Word EmbeddingsWorkshop on Evaluating Vector Space Representations for NLPOctavia-Maria Şulea2017 · 7 citations
    Semantic Annotation of Textual EntailmentInternational Conference on Computational Semantics – Long PapersAssaf Toledo, Stavroula Alexandropoulou, Sophia Katrenko, et al.2013 · 7 citations
    Labeled Alignment for Recognizing Textual EntailmentInternational Joint Conference on Natural Language Processing (IJCNLP)Xiaolin Wang, Hai Zhao, Bao-Liang Lu2013 · 6 citations
  25. English Out-of-Vocabulary Lexical Evaluation TaskarXiv:1804.04242Han Wang, Ye Wang, Xinxiang Zhang, et al.2018 · 3 citations
    Corpora for Learning the Mutual Relationship between Semantic Relatedness and Textual EntailmentLanguage Resources and Evaluation Conference (LREC)Ngoc Phuoc An Vo, Octavian Popescu2016 · 3 citations
    Towards a Semantic Model for Textual Entailment AnnotationLinguistic Issues in Language TechnologyAssaf Toledo, Stavroula Alexandropoulou, Sophie Chesney, et al.2014 · 2 citations
  26. LCHAIM - Investigating Long Context Reasoning in HebrewEhud Malul, Oriel Perets, Ziv Mor, et al.2025 · 1 citation
    Advancing the Arabic WordNet: Elevating Content QualityWorkshop on Open-Source Arabic Corpora and Processing Tools (OSACT) with Shared Tasks on Arabic LLMs Hallucination and Dialect to MSA Machine Translation @ LREC-COLINGAbed Alhakim Freihat, Hadi Mahmoud Khalilia, Gábor Bella, et al.2024 · 1 citation
    Exploiting Open IE for Deriving Multiple Premises Entailment CorpusRecent Advances in Natural Language Processing (RANLP)Martin Víta, Jakub Klímek2019 · 1 citation
    E-CONAN (Entailment, CONtradition And Neutral) Benchmarks: Arabic Textual Entailment and Natural Inference DatasetsIEEE AccessKhloud AL Jallad, Nada Ghneim, Ghaida Rebdawi2026
  27. E-CONAN (Entailment, CONtradition And Neutral) Diagnostics Dataset Investigating Linguistic Phenomena in Arabic Natural Language UnderstandingarXiv:2609.33530Khloud AL Jallad, Nada Ghneim, Ghaida Rebdawi2026
    NegNLI-BR: A Brazilian Portuguese Benchmark for Negation in Natural Language InferenceLanguage Resources and Evaluation Conference (LREC)Matheus Westhelle, Viviane Moreira2026
    Paraphrasing as Zero-shot Translation with Feature-guided Diversity EnhancementAnnual Meeting of the Association for Computational Linguistics (ACL)Ziyue Yan, Hongying Zan, Xinglin Lyu, et al.2026
  28. Human Temporal Inferences Go Beyond Aspectual ClassKatarzyna Pruś, Mark Steedman, Adam Lopez2024
  29. Exploring Lexical Irregularities in Hypothesis-Only Models of Natural Language InferencearXiv:2101.07397Qingyuan Hu, Yi Zhang, Kanishka Misra, et al.2021

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