🧑‍🔬 Who cites Xianfeng Tang

211 citations of their works from 206 papers of our library (of the 149,439 whose bibliographies we read) · 49 with a page here, the most cited first · ← Xianfeng Tang

1. Graph Retrieval-Augmented Generation: A SurveyACM Transactions on Information SystemsBoci Peng, Yun Zhu, Yongchao Liu, et al.2024 · 276 citations
2. Small Language Models are the Future of Agentic AIarXiv:2506.02153Peter Belcak, Greg Heinrich, Shizhe Diao, et al.2025 · 92 citations
3. Retrieval-Augmented Generation with Graphs (GraphRAG)arXiv:2501.00309Haoyu Han, Yu Wang, Harry Shomer, et al.2025 · 87 citations
4. Learning to Reason under Off-Policy GuidanceConference on Neural Information Processing Systems (NeurIPS)Jianhao Yan, Yafu Li, Zican Hu, et al.2025 · 68 citations
5. A Survey of Graph Retrieval-Augmented Generation for Customized Large Language ModelsarXiv:2501.13958Qinggang Zhang, Shengyuan Chen, Yuanchen Bei, et al.2025 · 64 citations
6. SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language ModelsarXiv:2504.11468Hardy Chen, Haoqin Tu, Fali Wang, et al.2025 · 37 citations
7. What is the Role of Small Models in the LLM Era: A SurveyComputational LinguisticsLihu Chen, Gael Varoquaux2024 · 23 citations
8. Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMsInternational Conference on Computational Linguistics (COLING)Yu Xia, Rui Wang, Xu Liu, et al.2025 · 19 citations
9. 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
10. ActiveLLM: Large Language Model-Based Active Learning for Textual Few-Shot ScenariosTransactions of the Association for Computational Linguistics (TACL)Markus Bayer, Justin Lutz, Christian Reuter2026 · 16 citations
11. Towards Reasoning Ability of Small Language ModelsarXiv:2502.11569Gaurav Srivastava, Shuxiang Cao, Xuan Wang2025 · 16 citations
12. 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
13. Skywork R1V2: Multimodal Hybrid Reinforcement Learning for ReasoningarXiv:2504.16656Peiyu Wang, Yichen Wei, Yi Peng, et al.2025 · 10 citations
14. Nemotron-CrossThink: Scaling Self-Learning beyond Math ReasoningConference of the European Chapter of the Association for Computational Linguistics (EACL)Syeda Nahida Akter, Shrimai Prabhumoye, Matvei Novikov, et al.2026 · 9 citations
15. ViLBench: A Suite for Vision-Language Process Reward ModelingConference on Empirical Methods in Natural Language Processing (EMNLP)Haoqin Tu, Weitao Feng, Hardy Chen, et al.2025 · 9 citations
16. OPeRA: A Dataset of Observation, Persona, Rationale, and Action for Evaluating LLMs on Human Online Shopping Behavior SimulationAnnual Meeting of the Association for Computational Linguistics (ACL)Ziyi Wang, Yuxuan Lu, Wenbo Li, et al.2026 · 8 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. LAD-RAG: Layout-aware Dynamic RAG for Visually-Rich Document UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Zhivar Sourati, Zheng Wang, Marianne Menglin Liu, et al.2026 · 4 citations
19. 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
20. Enrich-on-Graph: Query-Graph Alignment for Complex Reasoning with LLM EnrichingConference on Empirical Methods in Natural Language Processing (EMNLP)Songze Li, Zhiqiang Liu, Zhengke Gui, et al.2025 · 4 citations
21. 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
22. SynthRL: Scaling Visual Reasoning with Verifiable Data SynthesisFindings of the Association for Computational LinguisticsZijian Wu, Jinjie Ni, Xiangyan Liu, et al.2026 · 3 citations
23. 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
24. Failure makes the agent stronger: Enhancing Accuracy through Structured Reflection for Reliable Tool InteractionsFindings of the Association for Computational LinguisticsJunhao Su, Yuanliang Wan, Junwei Yang, et al.2026 · 2 citations
25. A Survey of Deep Learning for Geometry Problem SolvingAnnual Meeting of the Association for Computational Linguistics (ACL)Jianzhe Ma, Wenxuan Wang, Qin Jin2026 · 1 citation
26. Image Corruption-Inspired Membership Inference Attacks against Large Vision-Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Zongyu Wu, Minhua Lin, Zhiwei Zhang, et al.2026 · 1 citation
27. ReTraceQA: Evaluating Reasoning Traces of Small Language Models in Commonsense Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Francesco Maria Molfese, Luca Moroni, Ciro Porcaro, et al.2026 · 1 citation
28. StructSurvey: Structured Agentic Retrieval for Automated Survey Paper GenerationWorkshop on Structured Understanding, Retrieval, and Generation in the LLM EraPaolo Pedinotti, Enrico Santus2026 · 1 citation
29. A Comprehensive Survey of Process Reward Models: Data Generation, Model Construction, and UsageAnnual Meeting of the Association for Computational Linguistics (ACL)Congmin Zheng, Jiachen Zhu, Zhuoying Ou, et al.2026
30. A Survey of Multimodal Mathematical Reasoning: From Perception, Alignment to ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Tianyu Yang, Sihong Wu, Yilun Zhao, et al.2026
31. 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
32. 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
33. Colorful Talks with Graphs: Human-Interpretable Graph Encodings for Large Language ModelsFindings of the Association for Computational LinguisticsAngelo Zangari, Peyman Baghershahi, Sourav Medya2026
34. 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
35. Counterspeech Generation using Small Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Abubakar Sadiq Muhammad, Simona Frenda, Gavin Abercrombie2026
36. Dissecting GraphRAG: A Modular Analysis of Knowledge Structuring for Factoid Question AnsweringTransactions of the Association for Computational Linguistics (TACL)Noriki Nishida, Rumana Ferdous Munne, Shanshan Liu, et al.2026
37. GR1: Reinforcement-Enhanced LLM for Geoscience ReasoningFindings of the Association for Computational LinguisticsYule Xie, Jiaxin Ding, Cheng Deng, et al.2026
38. GraphMind: LLMs as Dynamic Knowledge Builders for Sequential Decision-MakingFindings of the Association for Computational LinguisticsSunguk Shin, Hayeong Lee, Jun Ho Seo, et al.2026
39. HiGoE: Hierarchical Graph of Evidence to Enhance Retrieval-Augmented Generation for Long-context SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Long Yuan, Kaiwen Tian, Zi Chen, et al.2026
40. How to Make LMs Strong Node Classifiers?Findings of the Association for Computational LinguisticsZhe Xu, Kaveh Hassani, Si Zhang, et al.2026
41. KCVR: Knowledge-Centric Video Reconstruction for Structured Pedagogical Summarization via Dynamic Graph PlanningAnnual Meeting of the Association for Computational Linguistics (ACL)Jingjiang Liu, Jia Zhu, Hanghui Guo, et al.2026
42. LearnerCoMPASS: Intelligent Tutoring System with Dynamic Cognitive Diagnosis and Multi-Model Path PlanningAnnual Meeting of the Association for Computational Linguistics (ACL)Ziji Sheng, Guiyao Tie, Weidong Wang, et al.2026
43. LLMs for Now, Fine-Tuning for Later: An Ensemble Approach to Data Drift in Domain-Specific TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Yuxuan Lu, Bingsheng Yao, Shao Zhang, et al.2026
44. LongTailQA: Benchmarking LLMs and RAG Models on Disambiguated Long-Tail EntitiesLanguage Resources and Evaluation Conference (LREC)William Xion, Uwe Hadler, Tim Cofala, et al.2026
45. MorphoBench: A Benchmark with Difficulty Adaptive to Model ReasoningFindings of the Association for Computational LinguisticsXukai Wang, Xuanbo Liu, Mingrui Chen, et al.2026
46. NeuralFSM: Adaptive Multi-Agent Coordination via Learning Finite-State Execution PolicyAnnual Meeting of the Association for Computational Linguistics (ACL)Jiye Wang, Yu Wang, Jianbin Li, et al.2026
47. 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
48. 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
49. 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

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