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Who cites Yixin Nie

958 citations of their works from 888 papers of our library (of the 141,840 whose bibliographies we read) · 126 with a page here, the most cited first · page 2 of 2 · 101–126 · ← Yixin Nie

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    Counterfactually-Augmented SNLI Training Data Does Not Yield Better Generalization Than Unaugmented DataWorkshop on Insights from Negative Results in NLPWilliam Huang, Haokun Liu, Samuel R. Bowman2020 · 50 citations
    ANLIzing the Adversarial Natural Language Inference DatasetSociety for Computation in Linguistics (SCiL)Adina Williams, Tristan Thrush, Douwe Kiela2022 · 48 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
  1. NOPE: A Corpus of Naturally-Occurring Presuppositions in EnglishAlicia Parrish, Sebastian Schuster, Alex Warstadt, et al.2021 · 40 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
    Distributed NLI: Learning to Predict Human Opinion Distributions for Language ReasoningFindings of the Association for Computational LinguisticsXiang Zhou, Yixin Nie, Mohit Bansal2022 · 35 citations
    Exploring Transitivity in Neural NLI Models through VeridicalityConference of the European Chapter of the Association for Computational Linguistics (EACL)Hitomi Yanaka, Koji Mineshima, Kentaro Inui2021 · 27 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
  2. 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
  3. He Thinks He Knows Better than the Doctors: BERT for Event Factuality Fails on PragmaticsNanjiang Jiang, Marie-Catherine de Marneffe2021 · 21 citations
    Design Choices for Crowdsourcing Implicit Discourse Relations: Revealing the Biases Introduced by Task DesignTransactions of the Association for Computational Linguistics (TACL)Valentina Pyatkin, Frances Yung, Merel C. J. Scholman, et al.2023 · 19 citations
    Robustifying Multi-hop QA through Pseudo-Evidentiality TrainingAnnual Meeting of the Association for Computational Linguistics (ACL)Kyungjae Lee, Seung-won Hwang, Sang-eun Han, et al.2021 · 19 citations
  4. Coordinate Constructions in English Enhanced Universal Dependencies: Analysis and Computational ModelingStefan Grünewald, Prisca Piccirilli, Annemarie Friedrich2021 · 16 citations
    Capture Human Disagreement Distributions by Calibrated Networks for Natural Language InferenceFindings of the Association for Computational LinguisticsYuxia Wang, Minghan Wang, Yimeng Chen, et al.2022 · 15 citations
  5. Adversarial Analysis of Natural Language Inference SystemsarXiv:1912.03441Tiffany Chien, Jugal Kalita2019 · 15 citations
    Integrating Transformers and Knowledge Graphs for Twitter Stance DetectionWorkshop on Noisy User-generated TextThomas Clark, Costanza Conforti, Fangyu Liu, et al.2021 · 14 citations
    Coreference Reasoning in Machine Reading ComprehensionAnnual Meeting of the Association for Computational Linguistics (ACL)Mingzhu Wu, Nafise Sadat Moosavi, Dan Roth, et al.2021 · 11 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
    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
    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
    Annotation Difficulties in Natural Language InferenceBrazilian Symposium in Information and Human Language TechnologyAikaterini-Lida Kalouli, Livy Real, Annebeth Buis, et al.2021 · 5 citations
    Mitigating Dataset Artifacts in Natural Language Inference Through Automatic Contextual Data Augmentation and Learning OptimizationLanguage Resources and Evaluation Conference (LREC)Michail Mersinias, Panagiotis Valvis2022 · 3 citations
  6. Are Arabic Benchmarks Reliable? QIMMA's Quality-First Approach to LLM EvaluationarXiv:2604.03395Leen AlQadi, Ahmed Alzubaidi, Mohammed Alyafeai, et al.2026
    MultiCoS: A Multilingual Dataset of Connective Semantics with Context–Sentence CompatibilityLanguage Resources and Evaluation Conference (LREC)Anne Mucha, Ciyang Qing, Wataru Uegaki2026
    Survey on Hallucinations in Large Language Models (大语言模型的幻觉问题研究综述)Journal of SoftwareZeyuan Liu (刘泽垣), Pengjiang Wang (王鹏江), Xiaobin Song (宋晓斌), et al.2024

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