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Who cites Dayong Wu

89 citations of their works from 89 papers of our library (of the 149,439 whose bibliographies we read) · 11 with a page here, the most cited first · ← Dayong Wu

  1. GLARE: Agentic Reasoning for Legal Judgment PredictionAnnual Meeting of the Association for Computational Linguistics (ACL)Xinyu Yang, Chenlong Deng, Zhicheng Dou2026 · 5 citations
  2. FaithLens: Detecting and Explaining Faithfulness HallucinationFindings of the Association for Computational LinguisticsShuzheng Si, Qingyi Wang, Haozhe Zhao, et al.2026 · 1 citation
  3. Autonomous Knowledge Graph Exploration with Adaptive Breadth-Depth RetrievalAnnual Meeting of the Association for Computational Linguistics (ACL)Joaquin Polonuer, Lucas Vittor, Iñaki Arango, et al.2026
  4. EvoMemKG: An Evolvable Memory Agent for Multi-hop Knowledge Graph ReasoningFindings of the Association for Computational LinguisticsShiyu Tian, Shuyue Xing, Zhuoxin Han, et al.2026
  5. Interactive Semantic Parsing with Reinforcement Learning for Knowledge Graph ReasoningFindings of the Association for Computational LinguisticsYurun Song, Xiangqing Shen, Jianfei Yu, et al.2026
  6. LegalChainReasoner: Grounding Criminal Judicial Opinion Generation via Structured Legal ChainsAnnual Meeting of the Association for Computational Linguistics (ACL)Weizhe Shi, Qiqi Wang, Yihong Pan, et al.2026
  7. Less is More: Knowledge-Aware Compression for Long Legal Judgment PredictionFindings of the Association for Computational LinguisticsFanghao Lou, Qiqi Wang, Guanyu Chen, et al.2026
  8. MAB-DQA: Addressing Query Aspect Importance in Document Question Answering with Multi-Armed BanditsAnnual Meeting of the Association for Computational Linguistics (ACL)Yixin Xiang, Yunshan Ma, Xiaoyu Du, et al.2026
  9. Reasoning with Ontology Graph: Toward Type-Constrained Knowledge Graph Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Yongxue Shan, Jie Peng, Zixuan Dong, et al.2026
  10. TextMineX: Data, Evaluation Framework and Ontology-guided LLM Pipeline for Humanitarian Mine ActionFindings of the Association for Computational LinguisticsChenyue Zhou, Gürkan Solmaz, Flavio Cirillo, et al.2026
  11. When LLMs Read Tables Carelessly: Measuring and Reducing Data Referencing ErrorsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuqing Yang, Qi Zhu, Zhen Han, et al.2026

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