🧑‍🔬 Who cites Jonathan Halcrow

82 citations of their works from 76 papers of our library (of the 149,439 whose bibliographies we read) · 25 with a page here, the most cited first · ← Jonathan Halcrow

1. Graph Retrieval-Augmented Generation: A SurveyACM Transactions on Information SystemsBoci Peng, Yun Zhu, Yongchao Liu, et al.2024 · 276 citations
2. 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
3. Retrieval-Augmented Generation with Graphs (GraphRAG)arXiv:2501.00309Haoyu Han, Yu Wang, Harry Shomer, et al.2025 · 87 citations
4. 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
5. Reasoning with Latent Thoughts: On the Power of Looped TransformersarXiv:2502.17416Nikunj Saunshi, Nishanth Dikkala, Zhiyuan Li, et al.2025 · 44 citations
6. LocAgent: Graph-Guided LLM Agents for Code LocalizationAnnual Meeting of the Association for Computational Linguistics (ACL)Zhaoling Chen, Robert Tang, Gangda Deng, et al.2025 · 27 citations
7. Scaling Latent Reasoning via Looped Language ModelsarXiv:2510.25741Rui-Jie Zhu, Zixuan Wang, Kai Hua, et al.2025 · 22 citations
8. Understanding Transformer Reasoning Capabilities via Graph AlgorithmsConference on Neural Information Processing Systems (NeurIPS)Clayton Sanford, Bahare Fatemi, Ethan Hall, et al.2024 · 21 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. Metastable Dynamics of Chain-of-Thought Reasoning: Provable Benefits of Search, RL and DistillationarXiv:2502.01694Juno Kim, Denny Wu, Jason Lee, et al.2025 · 6 citations
11. 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
12. 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
13. Asking language models how to represent data for fine-tuningWorkshop on Structured Understanding, Retrieval, and Generation in the LLM EraUsneek Singh, Ananya Singha, Abhijeet Awasthi, et al.2026
14. BiMol-Diff: A Unified Diffusion Framework for Molecular Generation and CaptioningAnnual Meeting of the Association for Computational Linguistics (ACL)Aditya Hemant Shahane, Anuj Kumar Sirohi, Devansh Arora, et al.2026
15. Colorful Talks with Graphs: Human-Interpretable Graph Encodings for Large Language ModelsFindings of the Association for Computational LinguisticsAngelo Zangari, Peyman Baghershahi, Sourav Medya2026
16. 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
17. Generalization in Graph Reasoning: A Systematic Comparison of LLM Training ApproachesWorkshop on Structured Understanding, Retrieval, and Generation in the LLM EraSola Shirai, Kavitha Srinivas, Julian Dolby, et al.2026
18. 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
19. GROKE: Vision-Free Navigation Instruction Evaluation via Graph Reasoning on OpenStreetMapAnnual Meeting of the Association for Computational Linguistics (ACL)Farzad Shami, Subhrasankha Dey, Nico Van de Weghe, et al.2026
20. How to Make LMs Strong Node Classifiers?Findings of the Association for Computational LinguisticsZhe Xu, Kaveh Hassani, Si Zhang, et al.2026
21. Linguistic Initialization for Inductive Reasoning in Heterogeneous Knowledge GraphsKnowledge Graphs and Large Language Models Workshop (KG-LLM) @ LREC26Daniele Pasquini, Danilo Croce, Roberto Basili2026
22. 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
23. 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
24. 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
25. Toward Consistent World Models with Multi-Token Prediction and Latent Semantic EnhancementAnnual Meeting of the Association for Computational Linguistics (ACL)Qimin Zhong, Hao Liao, Haiming Qin, et al.2026

51 more citing papers of our library have no page here yet.

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/jonathan-halcrow/cited-by/