🧑‍🔬 Who cites Thomas Laurent

190 citations of their works from 179 papers of our library (of the 149,439 whose bibliographies we read) · 47 with a page here, the most cited first · ← Thomas Laurent

1. Retrieval-Augmented Generation for Large Language Models: A SurveyarXiv:2312.10997Yunfan Gao, Yun Xiong, Xinyu Gao, et al.2023 · 1,663 citations
2. Retrieval-Augmented Generation for AI-Generated Content: A SurveyarXiv:2402.19473Penghao Zhao, Hailin Zhang, Qinhan Yu, et al.2024 · 301 citations
3. Graph Retrieval-Augmented Generation: A SurveyACM Transactions on Information SystemsBoci Peng, Yun Zhu, Yongchao Liu, et al.2024 · 276 citations
4. GraphGPT: Graph Instruction Tuning for Large Language ModelsInternational ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)Jiabin Tang, Yuhao Yang, Wei Wei, et al.2023 · 268 citations
5. G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question AnsweringConference on Neural Information Processing Systems (NeurIPS)Xiaoxin He, Yijun Tian, Yifei Sun, et al.2024 · 236 citations
6. Retrieval-Augmented Generation with Graphs (GraphRAG)arXiv:2501.00309Haoyu Han, Yu Wang, Harry Shomer, et al.2025 · 87 citations
7. Knowledge Graph Retrieval-Augmented Generation for LLM-based RecommendationAnnual Meeting of the Association for Computational Linguistics (ACL)Shijie Wang, Wenqi Fan, Yue Feng, et al.2025 · 77 citations
8. A Survey of Graph Retrieval-Augmented Generation for Customized Large Language ModelsarXiv:2501.13958Qinggang Zhang, Shengyuan Chen, Yuanchen Bei, et al.2025 · 64 citations
9. OG-RAG: Ontology-grounded retrieval-augmented generation for large language modelsConference on Empirical Methods in Natural Language Processing (EMNLP)Kartik Sharma, Peeyush Kumar, Yunqing Li2025 · 37 citations
10. Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMsarXiv:2507.09477Yangning Li, Weizhi Zhang, Yuyao Yang, et al.2025 · 17 citations
11. Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study Over Open-ended Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Yuan Sui, Yufei He, Zifeng Ding, et al.2025 · 16 citations
12. Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning QuestionsFindings of the Association for Computational LinguisticsDazhou Yu, Riyang Bao, Ruiyu Ning, et al.2026 · 12 citations
13. 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
14. MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware RetrievalConference on Empirical Methods in Natural Language Processing (EMNLP)Xixi Wu, Yanchao Tan, Nan Hou, et al.2025 · 12 citations
15. Taming Language Models for Text-attributed Graph Learning with Decoupled AggregationAnnual Meeting of the Association for Computational Linguistics (ACL)Chuang Zhou, Zhu Wang, Shengyuan Chen, et al.2025 · 9 citations
16. 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
17. 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
18. Query-Efficient Agentic Graph Extraction Attacks on GraphRAG SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Shuhua Yang, Jiahao Zhang, Yilong Wang, et al.2026 · 4 citations
19. 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
20. Exploring Graph Learning Tasks with Pure LLMs: A Comprehensive Benchmark and InvestigationFindings of the Association for Computational LinguisticsYuxiang Wang, Xinnan Dai, Wenqi Fan, et al.2026 · 1 citation
21. 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
22. 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
23. 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
24. CITE: Benchmarking Heterogeneous Text-Attributed Graph ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Chenghao Zhang, Qingqing Long, Ludi Wang, et al.2026
25. 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
26. 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
27. FlowRAG: Synergizing Explicit Reasoning via Frequency-Aware Multi-Granularity Graph FlowFindings of the Association for Computational LinguisticsBihao Zhan, Zongsheng Cao, Jie Zhou, et al.2026
28. Follow the Path: Reasoning over Knowledge Graph Paths to Improve Large Language Model FactualityFindings of the Association for Computational LinguisticsMike Zhang, Johannes Bjerva, Russa Biswas2026
29. Generalizable LLM Learning of Graph Synthetic Data with Post-training AlignmentFindings of the Association for Computational LinguisticsYizhuo Zhang, Heng Wang, Shangbin Feng, et al.2026
30. Graph-Based Alternatives to LLMs for Human SimulationAnnual Meeting of the Association for Computational Linguistics (ACL)Joseph Suh, Suhong Moon, Serina Chang2026
31. HiKEY: Hierarchical Multimodal Retrieval for Open-Domain Document Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Joongmin Shin, Gyuho Shim, Jeongbae Park, et al.2026
32. How to Make LMs Strong Node Classifiers?Findings of the Association for Computational LinguisticsZhe Xu, Kaveh Hassani, Si Zhang, et al.2026
33. HyperMem: Hypergraph Memory for Long-Term ConversationsAnnual Meeting of the Association for Computational Linguistics (ACL)Juwei Yue, Chuanrui Hu, Jiawei Sheng, et al.2026
34. Interactive Semantic Parsing with Reinforcement Learning for Knowledge Graph ReasoningFindings of the Association for Computational LinguisticsYurun Song, Xiangqing Shen, Jianfei Yu, et al.2026
35. Mitigating Degree Bias in Hypergraphs via Attribute-as-Structure ApproachConference of the European Chapter of the Association for Computational Linguistics (EACL)Ryusei Nishide, Makoto Miwa2026
36. MuSe: Multi-Stage Graph Reasoning via Vision-Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Guanyu Wang, Xu Chu, Zhijie Tan, et al.2026
37. 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
38. 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
39. Query-Aware Graph Attention for Precise Subgraph Retrieval in Knowledge-Augmented ReasoningFindings of the Association for Computational LinguisticsYuanye Xu, Linyi Guo, Yue Zhang, et al.2026
40. Query-Aware Knowledge Retrieval via Hyperbolic StructuringAnnual Meeting of the Association for Computational Linguistics (ACL)Chuang Zhou, Junnan Dong, Yilin Xiao, et al.2026
41. Recent Advances in Text-attributed Graph Learning via Large Models (大模型驱动的文本属性图学习研究进展)Acta Automatica Sinica (自动化学报)Yanping Zheng (郑艳萍), Jiarui Ji (季嘉蕊), Yuwei Hu (胡雨韦), et al.2026
42. STEM: Structure-Tracing Evidence Mining for Knowledge Graphs-Driven Retrieval-Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Peng Yu, En Xu, Bin Chen, et al.2026
43. Subgraph-Guided Executable Logical Form Generation for Knowledge Base Question AnsweringFindings of the Association for Computational LinguisticsYuhang Tian, Dandan Song, Zhijing Wu, et al.2026
44. The Structure-Content Trade-off in Knowledge Graph Retrieval: A Diagnostic Study of Question DecompositionKnowledge Graphs and Large Language Models Workshop (KG-LLM) @ LREC26Valentin Six, Gaël de Chalendar, Evan Dufraisse2026
45. 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
46. TopoRAG: Graph-based RAG via Topology-aware Approximate Nearest Neighbor SearchFindings of the Association for Computational LinguisticsTianhao Wu, Siqiang Luo2026
47. TRN-R1-Zero: Text-rich Network Reasoning via LLMs with Reinforcement Learning OnlyAnnual Meeting of the Association for Computational Linguistics (ACL)Yilun Liu, Ruihong Qiu, Zi Huang2026

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