🧑‍🔬 Who cites Yitong Li

98 citations of their works from 98 papers of our library (of the 149,439 whose bibliographies we read) · 18 with a page here, the most cited first · ← Yitong Li

1. Mitigating Gender Bias in Natural Language Processing: Literature ReviewAnnual Meeting of the Association for Computational Linguistics (ACL)Tony Sun, Andrew Gaut, Shirlyn Tang, et al.2019 · 724 citations
2. A Survey on Large Language Models for Code GenerationACM Transactions on Software Engineering and MethodologyJuyong Jiang, Fan Wang, Jiasi Shen, et al.2024 · 367 citations
3. Adversarial Removal of Demographic Attributes from Text DataConference on Empirical Methods in Natural Language Processing (EMNLP)Yanai Elazar, Yoav Goldberg2018 · 359 citations
4. Gender Bias in Machine TranslationTransactions of the Association for Computational Linguistics (TACL)Beatrice Savoldi, Marco Gaido, Luisa Bentivogli, et al.2021 · 310 citations
5. The Importance of Modeling Social Factors of Language: Theory and PracticeConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Dirk Hovy, Diyi Yang2021 · 238 citations
6. Predictive Biases in Natural Language Processing Models: A Conceptual Framework and OverviewAnnual Meeting of the Association for Computational Linguistics (ACL)Deven Shah, H. Andrew Schwartz, Dirk Hovy2019 · 207 citations
7. Debiasing Pre-trained Contextualised EmbeddingsConference of the European Chapter of the Association for Computational Linguistics (EACL)Masahiro Kaneko, Danushka Bollegala2021 · 175 citations
8. Deduplicating Training Data Mitigates Privacy Risks in Language ModelsarXiv:2202.06539Nikhil Kandpal, Eric Wallace, Colin Raffel2022 · 172 citations
9. Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal DatasetConference on Neural Information Processing Systems (NeurIPS)Peter Henderson, Mark S. Krass, Lucia Zheng, et al.2022 · 133 citations
10. The Text Anonymization Benchmark (TAB): A Dedicated Corpus and Evaluation Framework for Text AnonymizationComputational LinguisticsIldikó Pilán, Pierre Lison, Lilja Øvrelid, et al.2022 · 131 citations
11. 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 · 123 citations
12. InterCode: Standardizing and Benchmarking Interactive Coding with Execution FeedbackConference on Neural Information Processing Systems (NeurIPS)John Yang, Akshara Prabhakar, Karthik Narasimhan, et al.2023 · 95 citations
13. Towards Robustifying NLI Models Against Lexical Dataset BiasesAnnual Meeting of the Association for Computational Linguistics (ACL)Xiang Zhou, Mohit Bansal2020 · 70 citations
14. Execution-based Code Generation using Deep Reinforcement LearningTransactions on Machine Learning ResearchParshin Shojaee, Aneesh Jain, Sindhu Tipirneni, et al.2023 · 47 citations
15. StepCoder: Improving Code Generation with Reinforcement Learning from Compiler FeedbackAnnual Meeting of the Association for Computational Linguistics (ACL)Shihan Dou, Yan Liu, Haoxiang Jia, et al.2024 · 32 citations
16. CodeEvo: Interaction-Driven Synthesis of Code-centric Data through Hybrid and Iterative FeedbackAnnual Meeting of the Association for Computational Linguistics (ACL)Qiushi Sun, Jingyang Gong, Lei Li, et al.2026 · 1 citation
17. Deep Learning Based Code Generation Methods: Literature Review (基于深度学习的代码生成方法研究进展)Journal of SoftwareZezhou Yang (杨泽洲), Sirong Chen (陈思榕), Cuiyun Gao (高翠芸), et al.2023 · 1 citation
18. SeDev: Structured Semantic Exploration for LLM-Driven Code GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Ronghui Yang, Jie Liu, Jiajie Zeng, et al.2026

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