🧑‍🔬 Who cites Haoyu Han

62 citations of their works from 59 papers of our library (of the 149,439 whose bibliographies we read) · 18 with a page here, the most cited first · ← Haoyu Han

1. A Survey of Graph Retrieval-Augmented Generation for Customized Large Language ModelsarXiv:2501.13958Qinggang Zhang, Shengyuan Chen, Yuanchen Bei, et al.2025 · 64 citations
2. Empowering GraphRAG with Knowledge Filtering and IntegrationConference on Empirical Methods in Natural Language Processing (EMNLP)Kai Guo, Harry Shomer, Shenglai Zeng, et al.2025 · 12 citations
3. You Don't Need Pre-built Graphs for RAG: Retrieval Augmented Generation with Adaptive Reasoning StructuresarXiv:2508.06105Shengyuan Chen, Chuang Zhou, Zheng Yuan, et al.2025 · 9 citations
4. LAD-RAG: Layout-aware Dynamic RAG for Visually-Rich Document UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Zhivar Sourati, Zheng Wang, Marianne Menglin Liu, et al.2026 · 4 citations
5. Enrich-on-Graph: Query-Graph Alignment for Complex Reasoning with LLM EnrichingConference on Empirical Methods in Natural Language Processing (EMNLP)Songze Li, Zhiqiang Liu, Zhengke Gui, et al.2025 · 4 citations
6. RAG over Tables: Hierarchical Memory Index, Multi-Stage Retrieval, and BenchmarkingFindings of the Association for Computational LinguisticsJiaru Zou, Dongqi Fu, Sirui Chen, et al.2026 · 3 citations
7. What Breaks Knowledge Graph based RAG? Benchmarking and Empirical Insights into Reasoning under Incomplete KnowledgeConference of the European Chapter of the Association for Computational Linguistics (EACL)Dongzhuoran Zhou, Yuqicheng Zhu, Xiaxia Wang, et al.2026 · 3 citations
8. StructSurvey: Structured Agentic Retrieval for Automated Survey Paper GenerationWorkshop on Structured Understanding, Retrieval, and Generation in the LLM EraPaolo Pedinotti, Enrico Santus2026 · 1 citation
9. AgentGL: Towards Agentic Graph Learning with LLMs via Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Yuanfu Sun, Kang Li, Dongzhe Fan, et al.2026
10. Collision to Cognition: Hash-Driven Graph Construction for Efficient RAGAnnual Meeting of the Association for Computational Linguistics (ACL)Chuang Zhou, Zheng Yuan, Linhao Luo, et al.2026
11. Dissecting GraphRAG: A Modular Analysis of Knowledge Structuring for Factoid Question AnsweringTransactions of the Association for Computational Linguistics (TACL)Noriki Nishida, Rumana Ferdous Munne, Shanshan Liu, et al.2026
12. GraphMind: LLMs as Dynamic Knowledge Builders for Sequential Decision-MakingFindings of the Association for Computational LinguisticsSunguk Shin, Hayeong Lee, Jun Ho Seo, et al.2026
13. HiGoE: Hierarchical Graph of Evidence to Enhance Retrieval-Augmented Generation for Long-context SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Long Yuan, Kaiwen Tian, Zi Chen, et al.2026
14. KCVR: Knowledge-Centric Video Reconstruction for Structured Pedagogical Summarization via Dynamic Graph PlanningAnnual Meeting of the Association for Computational Linguistics (ACL)Jingjiang Liu, Jia Zhu, Hanghui Guo, et al.2026
15. LearnerCoMPASS: Intelligent Tutoring System with Dynamic Cognitive Diagnosis and Multi-Model Path PlanningAnnual Meeting of the Association for Computational Linguistics (ACL)Ziji Sheng, Guiyao Tie, Weidong Wang, et al.2026
16. LongTailQA: Benchmarking LLMs and RAG Models on Disambiguated Long-Tail EntitiesLanguage Resources and Evaluation Conference (LREC)William Xion, Uwe Hadler, Tim Cofala, et al.2026
17. Think Parallax: Solving Multi-Hop Problems via Multi-View Knowledge-Graph-Based Retrieval-Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Jinliang Liu, Jiale Bai, Shaoning Zeng2026
18. Thought-Action Graph Reasoning: Faithful and Efficient Reasoning of Large Language Models via Reusing Past ExperienceFindings of the Association for Computational LinguisticsZhixiao Qi, Feng Huang, Yunqi Zhang, et al.2026

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