🧑‍🔬 Who cites Hengyu Liu

71 citations of their works from 71 papers of our library (of the 149,439 whose bibliographies we read) · 22 with a page here, the most cited first · ← Hengyu Liu

1. Graph Retrieval-Augmented Generation: A SurveyACM Transactions on Information SystemsBoci Peng, Yun Zhu, Yongchao Liu, et al.2024 · 276 citations
2. 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
3. MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yilin Wen, Zifeng Wang, Jimeng Sun2024 · 158 citations
4. Retrieval-Augmented Generation with Graphs (GraphRAG)arXiv:2501.00309Haoyu Han, Yu Wang, Harry Shomer, et al.2025 · 87 citations
5. Paths-over-Graph: Knowledge Graph Empowered Large Language Model ReasoningarXiv:2410.14211Xingyu Tan, Xiaoyang Wang, Qing Liu, et al.2024 · 80 citations
6. Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation LearningarXiv:2305.19523Xiaoxin He, Xavier Bresson, Thomas Laurent, et al.2023 · 75 citations
7. Chain of History: Learning and Forecasting with LLMs for Temporal Knowledge Graph CompletionarXiv:2401.06072Ruilin Luo, Tianle Gu, Haoling Li, et al.2024 · 25 citations
8. TRAIL: Trace Reasoning and Agentic Issue LocalizationarXiv:2505.08638Darshan Deshpande, Varun Gangal, Hersh Mehta, et al.2025 · 12 citations
9. Can Graph Descriptive Order Affect Solving Graph Problems with LLMs?Annual Meeting of the Association for Computational Linguistics (ACL)Yuyao Ge, Shenghua Liu, Baolong Bi, et al.2025 · 10 citations
10. Ax-Prover: A Deep Reasoning Agentic Framework for Theorem Proving in Mathematics and Quantum PhysicsarXiv:2510.12787Benjamin Breen, Marco Del Tredici, Jacob McCarran, et al.2025 · 9 citations
11. GraCoRe: Benchmarking Graph Comprehension and Complex Reasoning in Large Language ModelsInternational Conference on Computational Linguistics (COLING)Zike Yuan, Ming Liu, Hui Wang, et al.2025 · 9 citations
12. ReForm: Reflective Autoformalization with Prospective Bounded Sequence OptimizationarXiv:2510.24592Guoxin Chen, Jing Wu, Xinjie Chen, et al.2025 · 8 citations
13. StepFun-Formalizer: Unlocking the Autoformalization Potential of LLMs through Knowledge-Reasoning FusionarXiv:2508.04440Yutong Wu, Di Huang, Ruosi Wan, et al.2025 · 7 citations
14. Agent-based Substructure Counting under Local Differential PrivacyAnnual Meeting of the Association for Computational Linguistics (ACL)Yuting Zhang, Kai Wang, Wei Ni, et al.2026 · 1 citation
15. 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
16. AlgBench: To What Extent Do Large Reasoning Models Understand Algorithms?Findings of the Association for Computational LinguisticsHenan Sun, Kaichi Yu, Yuyao Wang, et al.2026
17. Colorful Talks with Graphs: Human-Interpretable Graph Encodings for Large Language ModelsFindings of the Association for Computational LinguisticsAngelo Zangari, Peyman Baghershahi, Sourav Medya2026
18. CypherSmith: Transforming Text-to-Cypher Generation for LLMs with Synthetic DataAnnual Meeting of the Association for Computational Linguistics (ACL)Zeyu Zhang, Kexuan Sun, Zheng Tang, et al.2026
19. 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
20. MioFFAn: An Annotation Software for Formula Formalization with LLM Automation CapabilitiesNatural Scientific Language Processing (NSLP) @ LRECNicolas Sibuet Ruiz, Horacio Saggion, Riccardo Rossi2026
21. 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
22. 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

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