🧑‍🔬 Who cites Lu Zhang

226 citations of their works from 222 papers of our library (of the 141,840 whose bibliographies we read) · 34 with a page here, the most cited first · ← Lu Zhang

1. A Structured Self-attentive Sentence EmbeddingarXiv:1703.03130Zhouhan Lin, Minwei Feng, Cicero Nogueira dos Santos, et al.2017 · 1,782 citations
   Bilateral Multi-Perspective Matching for Natural Language SentencesInternational Joint Conference on Artificial IntelligenceZhiguo Wang, Wael Hamza, Radu Florian2017 · 929 citations
2. Breaking NLI Systems with Sentences that Require Simple Lexical InferencesMax Glockner, Vered Shwartz, Yoav Goldberg2018 · 517 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
   Abstractive Document Summarization with a Graph-Based Attentional Neural ModelAnnual Meeting of the Association for Computational Linguistics (ACL)Jiwei Tan, Xiaojun Wan, Jianguo Xiao2017 · 409 citations
   MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of ClaimsConference on Empirical Methods in Natural Language Processing (EMNLP)Isabelle Augenstein, Christina Lioma, Dongsheng Wang, et al.2019 · 319 citations
   An Empirical Comparison of Domain Adaptation Methods for Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Chenhui Chu, Raj Dabre, Sadao Kurohashi2017 · 316 citations
   Double Graph Based Reasoning for Document-level Relation ExtractionConference on Empirical Methods in Natural Language Processing (EMNLP)Shuang Zeng, Runxin Xu, Baobao Chang, et al.2020 · 314 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
   Identifying beneficial task relations for multi-task learning in deep neural networksConference of the European Chapter of the Association for Computational Linguistics (EACL)Joachim Bingel, Anders Søgaard2017 · 306 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
   CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to DatabasesConference on Empirical Methods in Natural Language Processing (EMNLP)Tao Yu, Rui Zhang, Heyang Er, et al.2019 · 261 citations
   Unlearn Dataset Bias in Natural Language Inference by Fitting the ResidualWorkshop on Deep Learning Approaches for Low-Resource NLPHe He, Sheng Zha, Haohan Wang2019 · 254 citations
   Unsupervised Domain Adaptation of Contextualized Embeddings for Sequence LabelingConference on Empirical Methods in Natural Language Processing (EMNLP)Xiaochuang Han, Jacob Eisenstein2019 · 242 citations
   On the Effectiveness of Adapter-based Tuning for Pretrained Language Model AdaptationAnnual Meeting of the Association for Computational Linguistics (ACL)Ruidan He, Linlin Liu, Hai Ye, et al.2021 · 204 citations
   Improved Lexically Constrained Decoding for Translation and Monolingual RewritingConference of the North American Chapter of the Association for Computational Linguistics (NAACL)J. Edward Hu, Huda Khayrallah, Ryan Culkin, et al.2019 · 198 citations
3. Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESuppositionPaloma Jeretic, Alex Warstadt, Suvrat Bhooshan, et al.2020 · 161 citations
   Probing What Different NLP Tasks Teach Machines about Function Word ComprehensionJoint Conference on Lexical and Computational Semantics (*SEM)Najoung Kim, Roma Patel, Adam Poliak, et al.2019 · 161 citations
4. From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction TuningarXiv:2308.12032Ming Li, Yong Zhang, Zhitao Li, et al.2023 · 157 citations
   RYANSQL: Recursively Applying Sketch-based Slot Fillings for Complex Text-to-SQL in Cross-Domain DatabasesComputational LinguisticsDongHyun Choi, Myeong Cheol Shin, EungGyun Kim, et al.2021 · 156 citations
   Do latent tree learning models identify meaningful structure in sentences?Transactions of the Association for Computational Linguistics (TACL)Adina Williams, Andrew Drozdov, Samuel R. Bowman2018 · 147 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
   Performance Impact Caused by Hidden Bias of Training Data for Recognizing Textual EntailmentLanguage Resources and Evaluation Conference (LREC)Masatoshi Tsuchiya2018 · 125 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
5. Neural Models of FactualityRachel Rudinger, Aaron Steven White, Benjamin Van Durme2018 · 111 citations
6. Inference is Everything: Recasting Semantic Resources into a Unified Evaluation FrameworkAaron Steven White, Pushpendre Rastogi, Kevin Duh, et al.2017 · 110 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
   On Adversarial Removal of Hypothesis-only Bias in Natural Language InferenceJoint Conference on Lexical and Computational Semantics (*SEM)Yonatan Belinkov, Adam Poliak, Stuart Shieber, et al.2019 · 95 citations
   Towards Robustifying NLI Models Against Lexical Dataset BiasesAnnual Meeting of the Association for Computational Linguistics (ACL)Xiang Zhou, Mohit Bansal2020 · 70 citations
7. Temporal Reasoning in Natural Language InferenceSiddharth Vashishtha, Adam Poliak, Yash Kumar Lal, et al.2020 · 57 citations
   Contextual Dialogue Act Classification for Open-Domain Conversational AgentsInternational ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)Ali Ahmadvand, Jason Ingyu Choi, Eugene Agichtein2020 · 56 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
   New Arabic Medical Dataset for Diseases ClassificationLecture notes in computer scienceJaafar Hammoud, Aleksandra Vatian, Natalia Dobrenko, et al.2021 · 14 citations
8. Understanding Roles and Entities: Datasets and Models for Natural Language InferencearXiv:1904.09720Arindam Mitra, Ishan Shrivastava, Chitta Baral2019 · 2 citations

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