🧑‍🔬 Who cites Jiabin Tang

130 citations of their works from 128 papers of our library (of the 149,439 whose bibliographies we read) · 28 with a page here, the most cited first · ← Jiabin Tang

1. LightRAG: Simple and Fast Retrieval-Augmented GenerationarXiv:2410.05779Zirui Guo, Lianghao Xia, Yanhua Yu, et al.2024 · 316 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. InstructMol: Multi-Modal Integration for Building a Versatile and Reliable Molecular Assistant in Drug DiscoveryInternational Conference on Computational Linguistics (COLING)He Cao, Zijing Liu, Xingyu Lu, et al.2025 · 38 citations
4. BioKGBench: A Knowledge Graph Checking Benchmark of AI Agent for Biomedical SciencearXiv:2407.00466Xinna Lin, Siqi Ma, Junjie Shan, et al.2024 · 12 citations
5. EvoScientist: Towards Multi-Agent Evolving AI Scientists for End-to-End Scientific DiscoveryarXiv:2603.08127Yougang Lyu, Xi Zhang, Xinhao Yi, et al.2026 · 10 citations
6. 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
7. ReCreate: Reasoning and Creating Domain Agents Driven by ExperienceAnnual Meeting of the Association for Computational Linguistics (ACL)Zhezheng Hao, Hong Wang, Jian Luo, et al.2026 · 8 citations
8. Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided VerificationFindings of the Association for Computational LinguisticsYuxuan Wan, Tianqing Fang, Zaitang LI, et al.2026 · 4 citations
9. AnyGraph: Graph Foundation Model in the WildFindings of the Association for Computational LinguisticsLianghao Xia, Chao Huang2026 · 3 citations
10. STReasoner: Empowering LLMs for Spatio-Temporal Reasoning in Time Series via Spatial-Aware Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Juntong Ni, Shiyu Wang, Qi He, et al.2026 · 3 citations
11. AiraXiv: An AI-Driven Open-Access Platform for Human and AI ScientistsAnnual Meeting of the Association for Computational Linguistics (ACL)Junshu Pan, Panzhong Lu, Yixuan Weng, et al.2026 · 1 citation
12. Can AI Be a Good Peer Reviewer? A Survey of Peer Review Process, Evaluation, and the FutureAnnual Meeting of the Association for Computational Linguistics (ACL)Sihong Wu, Owen Jiang, Yilun Zhao, et al.2026 · 1 citation
13. 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
14. Is This Idea Novel? An Automated Benchmark for Judgment of Research IdeasLanguage Resources and Evaluation Conference (LREC)Tim Schopf, Michael Färber2026 · 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. Can AI Revise Research Papers with Human Review Feedback? An Empirical Study and BenchmarkFindings of the Association for Computational LinguisticsZihan Luo, Hong Huang, Jianxun Lian, et al.2026
17. CITE: Benchmarking Heterogeneous Text-Attributed Graph ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Chenghao Zhang, Qingqing Long, Ludi Wang, et al.2026
18. Colorful Talks with Graphs: Human-Interpretable Graph Encodings for Large Language ModelsFindings of the Association for Computational LinguisticsAngelo Zangari, Peyman Baghershahi, Sourav Medya2026
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. 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
21. GraphLoRA: Structure-Aware Low-Rank Adaptation for Large Language Model RecommendationFindings of the Association for Computational LinguisticsLin Mu, Guoji Wang, Li Ni, et al.2026
22. How to Make LMs Strong Node Classifiers?Findings of the Association for Computational LinguisticsZhe Xu, Kaveh Hassani, Si Zhang, et al.2026
23. MASS: Deep Research for Social Sciences with Memory-Augmented Social SimulationFindings of the Association for Computational LinguisticsYongrui Liu, Deyi Xiong2026
24. 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
25. 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
26. Similar Region Search using LLMs on Spatial Feature SpaceFindings of the Association for Computational LinguisticsAl-Amin Sany, Mohaiminul Islam, Tanzima Hashem, et al.2026
27. 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
28. What Makes AI Research Replicable? Executable Knowledge Graphs as Scientific Knowledge RepresentationsAnnual Meeting of the Association for Computational Linguistics (ACL)Yujie Luo, Zhuoyun Yu, Xuehai Wang, et al.2026

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