🧑‍🔬 Who cites Baotian Hu

101 citations of their works from 101 papers of our library (of the 149,439 whose bibliographies we read) · 22 with a page here, the most cited first · ← Baotian Hu

1. Incorporating Copying Mechanism in Sequence-to-Sequence LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Jiatao Gu, Zhengdong Lu, Hang Li, et al.2016 · 1,915 citations
2. A Comprehensive Overview of Large Language ModelsACM Transactions on Intelligent Systems and TechnologyHumza Naveed, Asad Ullah Khan, Shi Qiu, et al.2023 · 1,287 citations
3. ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and GenerationarXiv:2107.02137Yu Sun, Shuohuan Wang, Shikun Feng, et al.2021 · 332 citations
4. Large Language Models for Data Annotation and Synthesis: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Zhen Tan, Dawei Li, Song Wang, et al.2024 · 262 citations
5. EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit EditingAnnual Meeting of the Association for Computational Linguistics (ACL)Yue Dong, Zichao Li, Mehdi Rezagholizadeh, et al.2019 · 244 citations
6. Data-Driven Sentence Simplification: Survey and BenchmarkComputational LinguisticsFernando Alva-Manchego, Carolina Scarton, Lucia Specia2020 · 213 citations
7. TL;DR: Mining Reddit to Learn Automatic SummarizationWorkshop on New Frontiers in SummarizationMichael Völske, Martin Potthast, Shahbaz Syed, et al.2017 · 204 citations
8. LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation MethodsarXiv:2412.05579Haitao Li, Qian Dong, Junjie Chen, et al.2024 · 195 citations
9. Controllable Text Simplification with Explicit ParaphrasingConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Mounica Maddela, Fernando Alva-Manchego, Wei Xu2021 · 164 citations
10. LCQMC:A Large-scale Chinese Question Matching CorpusInternational Conference on Computational Linguistics (COLING)Xin Liu, Qingcai Chen, Chong Deng, et al.2018 · 164 citations
11. The (Un)Suitability of Automatic Evaluation Metrics for Text SimplificationComputational LinguisticsFernando Alva-Manchego, Carolina Scarton, Lucia Specia2021 · 156 citations
12. MLSUM: The Multilingual Summarization CorpusConference on Empirical Methods in Natural Language Processing (EMNLP)Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, et al.2020 · 115 citations
13. CPM-2: Large-scale Cost-effective Pre-trained Language ModelsAI OpenZhengyan Zhang, Yuxian Gu, Xu Han, et al.2021 · 102 citations
14. The SAMER Arabic Text Simplification CorpusLanguage Resources and Evaluation Conference (LREC)Bashar Alhafni, Reem Hazim, Juan David Pineros Liberato, et al.2024 · 30 citations
15. AI4Research: A Survey of Artificial Intelligence for Scientific ResearchScience China Information SciencesQiguang Chen, Mingda Yang, Libo Qin, et al.2025 · 21 citations
16. PanGu-π: Enhancing Language Model Architectures via Nonlinearity CompensationarXiv:2312.17276Yunhe Wang, Hanting Chen, Yehui Tang, et al.2023 · 10 citations
17. Multi-LLM Collaborative Search for Complex Problem SolvingFindings of the Association for Computational LinguisticsSen Yang, Yafu Li, Wai Lam, et al.2026 · 3 citations
18. ComfyUI-R1: Exploring Reasoning Models for Workflow GenerationFindings of the Association for Computational LinguisticsZhenran Xu, Yiyu Wang, Xue Yang, et al.2026 · 1 citation
19. Cross-Lingual Emotion Recognition in Balinese Text using Multilingual-LLMs under Peer-Collaborations SettingsWorkshop on Language Models for Low-Resource LanguagesPutu Kussa Laksana Utama, Jilles Steeve Dibangoye, Tsegaye Misikir Tashu2026 · 1 citation
20. Opportunities and Challenges of LLMs in Education: An NLP PerspectiveWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Sowmya Vajjala, Bashar Alhafni, Stefano Banno, et al.2026
21. RouteMoA: Dynamic Routing without Pre-Inference Boosts Efficient Mixture-of-AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Jize Wang, Han Wu, Zhiyuan You, et al.2026
22. Simplify-Pro: A Two-level and Progressive LLM-based Framework for Auto Long Text SimplificationFindings of the Association for Computational LinguisticsPeng Zhou, Guangxin Li, Xiaoying Huang, et al.2026

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