🔗 Who cites «Graph Retrieval-Augmented Generation: A Survey»

94 papers of our library cite it (of the 149,439 whose bibliographies we read) · 20 with a page here, the most cited first · ← back to «Graph Retrieval-Augmented Generation: A Survey»

1. WavRAG: Audio-Integrated Retrieval Augmented Generation for Spoken Dialogue ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yifu Chen, Shengpeng Ji, Haoxiao Wang, et al.2025 · 22 citations
2. UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter Efficient Fine-Tuning of Large ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xueyan Zhang, Jinman Zhao, Zhifei Yang, et al.2025 · 14 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. AutoGraph-R1: End-to-End Reinforcement Learning for Knowledge Graph ConstructionAnnual Meeting of the Association for Computational Linguistics (ACL)Hong Ting Tsang, Jiaxin Bai, Haoyu Huang, et al.2026 · 4 citations
5. 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
6. 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
7. AgenticRAGTracer: A Hop-Aware Benchmark for Diagnosing Multi-Step Retrieval Reasoning in Agentic RAGFindings of the Association for Computational LinguisticsQijie You, Wenkai Yu, Hao Liang, et al.2026 · 1 citation
8. LogicPoison: Logical Attacks on Graph Retrieval-Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Yilin Xiao, Jin Chen, Qinggang Zhang, et al.2026 · 1 citation
9. QuALA-NL: Question & Answer with Legal Attribution in DutchLanguage Resources and Evaluation Conference (LREC)Romy A.N. van Drie, Roos M. Bakker, Daan L. Di Scala, et al.2026 · 1 citation
10. Specializing Large Models for Oracle Bone Script Interpretation via Component-Grounded Multimodal Knowledge AugmentationAnnual Meeting of the Association for Computational Linguistics (ACL)Jianing Zhang, Runan Li, Honglin Pang, et al.2026 · 1 citation
11. TagRAG: Tag-guided Hierarchical Knowledge Graph Retrieval-Augmented GenerationFindings of the Association for Computational LinguisticsWenbiao Tao, Xinyuan Li, Yunshi Lan, et al.2026 · 1 citation
12. COSMOS: Connectivity-Oriented Submodular Maximization for Optimal Subgraph RetrievalAnnual Meeting of the Association for Computational Linguistics (ACL)Boci Peng, Xiao Liu, Boren Hu, et al.2026
13. Defense Against Knowledge Poisoning Attack on GraphRAGAnnual Meeting of the Association for Computational Linguistics (ACL)Havva Alizadeh Noughabi, Fattane Zarrinkalam, Ali Dehghantanha2026
14. Evaluating Generative Large Language Models for Portuguese Scientific Information ExtractionNatural Scientific Language Processing (NSLP) @ LRECTomás Pinto, Catarina Silva, Hugo Goncalo Oliveira2026
15. Graph-Assisted Large Language Models: A Perspective on Mitigating Intrinsic LimitationsFindings of the Association for Computational LinguisticsHaitong Luo, Fali Wang, Weiyao Zhang, et al.2026
16. Linguistic Initialization for Inductive Reasoning in Heterogeneous Knowledge GraphsKnowledge Graphs and Large Language Models Workshop (KG-LLM) @ LREC26Daniele Pasquini, Danilo Croce, Roberto Basili2026
17. NG-Router: Graph-Supervised Multi-Agent Collaboration for Nutrition Question AnsweringConference of the European Chapter of the Association for Computational Linguistics (EACL)Kaiwen Shi, Zheyuan Zhang, Zhengqing Yuan, et al.2026
18. Quantifying Retrieval Quality in GraphRAG: A Schema-Agnostic ApproachKnowledge Graphs and Large Language Models Workshop (KG-LLM) @ LREC26Thibaud Vanmechelen, Alexandre Achten, Zaineb Gabsi, et al.2026
19. 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
20. 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

74 more papers of our library cite it; they have no page here yet.

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/papers/peng-2024-graph-retrieval-augmented-generation-survey/cited-by/