🧑‍🔬 Who cites Yicheng Wang

111 citations of their works from 111 papers of our library (of the 141,840 whose bibliographies we read) · 21 with a page here, the most cited first · ← Yicheng Wang

1. Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language InferenceR. Thomas McCoy, Ellie Pavlick, Tal Linzen2019 · 1,635 citations
   Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP)Yanlin Feng, Xinyue Chen, Bill Yuchen Lin, et al.2020 · 296 citations
   Making Language Models Better Reasoners with Step-Aware VerifierAnnual Meeting of the Association for Computational Linguistics (ACL)Yifei Li, Zeqi Lin, Shizhuo Zhang, et al.2023 · 216 citations
2. Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESuppositionPaloma Jeretic, Alex Warstadt, Suvrat Bhooshan, et al.2020 · 161 citations
   MISC: A Mixed Strategy-Aware Model integrating COMET for Emotional Support ConversationAnnual Meeting of the Association for Computational Linguistics (ACL)Quan Tu, Yanran Li, Jianwei Cui, et al.2022 · 140 citations
3. A fine-grained comparison of pragmatic language understanding in humans and language modelsJennifer Hu, Sammy Floyd, Olessia Jouravlev, et al.2023 · 136 citations
   Question Answering by Reasoning Across Documents with Graph Convolutional NetworksConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Nicola De Cao, Wilker Aziz, Ivan Titov2019 · 136 citations
4. Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and ApproachesarXiv:1904.01172Shane Storks, Qiaozi Gao, Joyce Y. Chai2019 · 134 citations
5. Neural Natural Language Inference Models Partially Embed Theories of Lexical Entailment and NegationAtticus Geiger, Kyle Richardson, Christopher Potts2020 · 112 citations
   ChatGPT Is a Knowledgeable but Inexperienced Solver: An Investigation of Commonsense Problem in Large Language ModelsLanguage Resources and Evaluation Conference (LREC)Ning Bian, Xianpei Han, Le Sun, et al.2024 · 105 citations
   Towards Robustifying NLI Models Against Lexical Dataset BiasesAnnual Meeting of the Association for Computational Linguistics (ACL)Xiang Zhou, Mohit Bansal2020 · 70 citations
6. IMPLI: Investigating NLI Models' Performance on Figurative LanguageKevin Stowe, Prasetya Utama, Iryna Gurevych2022 · 68 citations
   Posing Fair Generalization Tasks for Natural Language InferenceConference on Empirical Methods in Natural Language Processing (EMNLP)Atticus Geiger, Ignacio Cases, Lauri Karttunen, et al.2019 · 58 citations
   ConjNLI: Natural Language Inference Over Conjunctive SentencesConference on Empirical Methods in Natural Language Processing (EMNLP)Swarnadeep Saha, Yixin Nie, Mohit Bansal2020 · 50 citations
   ANLIzing the Adversarial Natural Language Inference DatasetSociety for Computation in Linguistics (SCiL)Adina Williams, Tristan Thrush, Douwe Kiela2022 · 48 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
   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
7. 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
8. Adversarial Analysis of Natural Language Inference SystemsarXiv:1912.03441Tiffany Chien, Jugal Kalita2019 · 15 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

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