🧑‍🔬 Who cites Yuanzhuo Wang

182 citations of their works from 161 papers of our library (of the 149,439 whose bibliographies we read) · 20 with a page here, the most cited first · ← Yuanzhuo Wang

1. Text Summarization with Pretrained EncodersConference on Empirical Methods in Natural Language Processing (EMNLP)Yang Liu, Mirella Lapata2019 · 2,095 citations
2. QuestEval: Summarization Asks for Fact-based EvaluationConference on Empirical Methods in Natural Language Processing (EMNLP)Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, et al.2021 · 359 citations
3. MAVEN: A Massive General Domain Event Detection DatasetConference on Empirical Methods in Natural Language Processing (EMNLP)Xiaozhi Wang, Ziqi Wang, Xu Han, et al.2020 · 261 citations
4. Extractive Summarization of Long Documents by Combining Global and Local ContextConference on Empirical Methods in Natural Language Processing (EMNLP)Wen Xiao, Giuseppe Carenini2019 · 214 citations
5. Conditional Generation with a Question-Answering BlueprintTransactions of the Association for Computational Linguistics (TACL)Shashi Narayan, Joshua Maynez, Reinald Kim Amplayo, et al.2023 · 70 citations
6. FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Qinggang Zhang, Zhishang Xiang, Yilin Xiao, et al.2025 · 27 citations
7. A Reality Check on Context Utilisation for Retrieval-Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Lovisa Hagström, Sara Vera Marjanovic, Haeun Yu, et al.2025 · 13 citations
8. ZoFia: Zero-Shot Fake News Detection with Entity-Guided Retrieval and Multi-LLM InteractionFindings of the Association for Computational LinguisticsLvhua Wu, Xuefeng Jiang, Sheng Sun, et al.2026 · 3 citations
9. BaseCal: Unsupervised Confidence Calibration via Base Model SignalsAnnual Meeting of the Association for Computational Linguistics (ACL)Hexiang Tan, Wanli Yang, Junwei Zhang, et al.2026 · 1 citation
10. Beyond Meta-Reasoning: Metacognitive Consolidation for Self-Improving LLM ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Ziqing Zhuang, Linhai Zhang, Jiasheng Si, et al.2026 · 1 citation
11. CoAct: Co-Active LLM Preference Learning with Human-AI SynergyAnnual Meeting of the Association for Computational Linguistics (ACL)Ruiyao Xu, Mihir Parmar, Tiankai Yang, et al.2026 · 1 citation
12. CoVerRL: Breaking the Consensus Trap in Label-Free Reasoning via Generator-Verifier Co-EvolutionAnnual Meeting of the Association for Computational Linguistics (ACL)Teng Pan, Yuchen Yan, Zixuan Wang, et al.2026 · 1 citation
13. Whose Facts Win? LLM Source Preferences under Knowledge ConflictsAnnual Meeting of the Association for Computational Linguistics (ACL)Jakob Schuster, Vagrant Gautam, Katja Markert2026 · 1 citation
14. Critic Rule Induction: Improving Temporal Knowledge Graph Forecasting with Generator-Critic Language ModelsFindings of the Association for Computational LinguisticsYingsong Ning, Fu Zhang, Jingwei Cheng, et al.2026
15. From Implicit Graph Encoding to Explicit Evidence: A Training-Free LLM Framework for Temporal Knowledge Graph ReasoningFindings of the Association for Computational LinguisticsGuo Tang, Ke Cheng, Huiming Fan, et al.2026
16. Learning Uncertainty from Sequential Internal Dispersion in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Ponhvoan Srey, Xiaobao Wu, Cong-Duy T Nguyen, et al.2026
17. Logical Consistency as a Bridge: Improving LLM Hallucination Detection via Label Constraint Modeling between Responses and Self-JudgmentsAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Mi, Qiang Sheng, Shaofei Wang, et al.2026
18. When Facts Change: Temporal Knowledge Conflict Resolution in LLMsFindings of the Association for Computational LinguisticsJonas Wallat, Wolfgang Nejdl, Sandipan Sikdar2026
19. Research Progress and Trend of Temporal Knowledge Graph Representation and Reasoning (时序知识图谱表示与推理的研究进展与趋势)Journal of SoftwareYuhan Wang (王俞涵), Ziyang Chen (陈子阳), Xiang Zhao (赵翔), et al.2024
20. Survey on Representation Learning Methods of Knowledge Graph for Link Prediction (面向链接预测的知识图谱表示学习方法综述)Journal of SoftwareXueying Du (杜雪盈), Mingwei Liu (刘名威), Liwei Shen (沈立炜), et al.2023

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