🧑‍🔬 Who cites Guangzhi Xiong

141 citations of their works from 141 papers of our library (of the 149,439 whose bibliographies we read) · 36 with a page here, the most cited first · ← Guangzhi Xiong

1. Retrieval-Augmented Generation for AI-Generated Content: A SurveyarXiv:2402.19473Penghao Zhao, Hailin Zhang, Qinhan Yu, et al.2024 · 301 citations
2. A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and RecommendationsConference on Empirical Methods in Natural Language Processing (EMNLP)Md Tahmid Rahman Laskar, Sawsan Alqahtani, M Saiful Bari, et al.2024 · 105 citations
3. Medical Graph RAG: Evidence-based Medical Large Language Model via Graph Retrieval-Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Junde Wu, Jiayuan Zhu, Yunli Qi, et al.2025 · 91 citations
4. Retrieval-Augmented Generation with Graphs (GraphRAG)arXiv:2501.00309Haoyu Han, Yu Wang, Harry Shomer, et al.2025 · 87 citations
5. A Survey of Large Language Models in Medicine: Progress, Application, and ChallengearXiv:2311.05112Hongjian Zhou, Fenglin Liu, Boyang Gu, et al.2023 · 87 citations
6. Retrieval-Augmented Generation for Natural Language Processing: A SurveyArtificial Intelligence ReviewShangyu Wu, Ying Xiong, Yufei Cui, et al.2024 · 86 citations
7. Knowledge Boundary of Large Language Models: A SurveyAnnual Meeting of the Association for Computational Linguistics (ACL)Moxin Li, Yong Zhao, Wenxuan Zhang, et al.2025 · 30 citations
8. TC–RAG: Turing–Complete RAG's Case study on Medical LLM SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Xinke Jiang, Yue Fang, Rihong Qiu, et al.2025 · 25 citations
9. Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and EvaluationACM Computing SurveysSteffen Eger, Yong Cao, Jennifer D'Souza, et al.2025 · 25 citations
10. OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial DomainConference on Empirical Methods in Natural Language Processing (EMNLP)Shuting Wang, Jiejun Tan, Zhicheng Dou, et al.2025 · 24 citations
11. What is the Role of Small Models in the LLM Era: A SurveyComputational LinguisticsLihu Chen, Gael Varoquaux2024 · 23 citations
12. RARE: Retrieval-Augmented Reasoning Enhancement for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Hieu Tran, Zonghai Yao, Zhichao Yang, et al.2025 · 20 citations
13. Sparks of Science: Hypothesis Generation Using Structured Paper DataarXiv:2504.12976Charles O'Neill, Tirthankar Ghosal, Roberta R\uaileanu, et al.2025 · 16 citations
14. Improving Scientific Hypothesis Generation with Knowledge Grounded Large Language ModelsarXiv:2411.02382Guangzhi Xiong, Eric Xie, Amir Hassan Shariatmadari, et al.2024 · 16 citations
15. Does Context Matter? ContextualJudgeBench for Evaluating LLM-based Judges in Contextual SettingsAnnual Meeting of the Association for Computational Linguistics (ACL)Austin Xu, Srijan Bansal, Yifei Ming, et al.2025 · 14 citations
16. MA-RAG: Multi-Agent Retrieval-Augmented Generation via Collaborative Chain-of-Thought ReasoningarXiv:2505.20096Thang Nguyen, Peter Chin, Yu-Wing Tai2025 · 14 citations
17. Mix-of-Granularity: Optimize the Chunking Granularity for Retrieval-Augmented GenerationInternational Conference on Computational Linguistics (COLING)Zijie Zhong, Hanwen Liu, Xiaoya Cui, et al.2025 · 13 citations
18. s3: You Don't Need That Much Data to Train a Search Agent via RLConference on Empirical Methods in Natural Language Processing (EMNLP)Pengcheng Jiang, Xueqiang Xu, Jiacheng Lin, et al.2025 · 12 citations
19. Knowing When to Abstain: Medical LLMs Under Clinical UncertaintyConference of the European Chapter of the Association for Computational Linguistics (EACL)Sravanthi Machcha, Sushrita Yerra, Sahil Gupta, et al.2026 · 9 citations
20. From Scores to Steps: Diagnosing and Improving LLM Performance in Evidence-Based Medical CalculationsConference on Empirical Methods in Natural Language Processing (EMNLP)Benlu Wang, Iris Xia, Yifan Zhang, et al.2025 · 5 citations
21. Experience Retrieval-Augmentation with Electronic Health Records Enables Accurate Discharge QAAnnual Meeting of the Association for Computational Linguistics (ACL)Justice Ou, Tinglin Huang, Yilun Zhao, et al.2026 · 4 citations
22. MedQA-CS: Objective Structured Clinical Examination (OSCE)-Style Benchmark for Evaluating LLM Clinical SkillsConference of the European Chapter of the Association for Computational Linguistics (EACL)Zonghai Yao, Zihao Zhang, Chaolong Tang, et al.2026 · 3 citations
23. Cross-Lingual Empirical Evaluation of Large Language Models for Arabic Medical TasksWorkshop on Linguistic Analysis for HealthChaimae Abouzahir, Congbo Ma, Nizar Habash, et al.2026 · 1 citation
24. DeepMed: Building a Medical DeepResearch Agent via Multi-hop Med-Search Data and Turn-Controlled Agentic Training & InferenceFindings of the Association for Computational LinguisticsZihan Wang, Hao Wang, Shi Feng, et al.2026 · 1 citation
25. Operation-Mechanism Alignment for Reliable Clinical Reasoning over Electronic Health RecordsBioNLPGuanyu Tao, Siyao Wang, Yong Xue, et al.2026 · 1 citation
26. When Retrieval Doesn't Help: A Large-Scale Study of Biomedical RAGBioNLPErfan Nourbakhsh, Rocky Slavin, Ke Yang, et al.2026 · 1 citation
27. SHA at the QIAS Shared Task: LLMs for Arabic Islamic Inheritance ReasoningArabic Natural Language Processing Conference (ArabicNLP)Shatha Altammami2025 · 1 citation
28. AIDA-SEAT: Towards Reliable AI Doctor Assistant via State-Evaluation-Action Tree Enhanced LLMs in Online HospitalAnnual Meeting of the Association for Computational Linguistics (ACL)Lianxin Sun, Xiaoying Ying, Guangya Yu, et al.2026
29. EncouRAGe: Evaluating RAG Local, Reliable, and EfficientWorkshop on Multilingual Report Generation via Retrieval Augmented GenerationJan Strich, Martin Semmann, Chris Biemann2026
30. Guaranteeing Knowledge Integration with Joint Decoding for Retrieval-Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Zhengyi Zhao, Shubo Zhang, Zezhong Wang, et al.2026
31. Iterative Knowledge Graph Refinement and Integration for Medical Question AnsweringFindings of the Association for Computational LinguisticsHaochen Zou, Yongli Wang2026
32. Linking Knowledge to Care: Knowledge Graph-Augmented Medical Follow-Up Question GenerationFindings of the Association for Computational LinguisticsLiwen Sun, Xiang Yu, Ming Tan, et al.2026
33. MedRedFlag: Investigating how LLMs Redirect Misconceptions in Real-World Health CommunicationFindings of the Association for Computational LinguisticsSraavya Sambara, Yuan Pu, Ayman Ali, et al.2026
34. RAG in the Wild: On the (In)effectiveness of LLMs with Mixture-of-Knowledge Retrieval AugmentationFindings of the Association for Computational LinguisticsRan Xu, Yuchen Zhuang, Yue Yu, et al.2026
35. Role-Adapted Clinical Report Generation for Ultrasound Measurements in Low-Resource SettingsWorkshop on Clinical Natural Language Processing (Clinical NLP) @ LRECAyoub Nainia, Tanya Akumu, Noussair Lazrak, et al.2026
36. VERICITE: Evaluating Sentence-Level Citation Faithfulness in Retrieval-Augmented Medical Question AnsweringBioNLPYixian Ma, Bohao Chu, Norbert Fuhr2026

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