🧑‍🔬 Who cites Tianhua Zhang

85 citations of their works from 76 papers of our library (of the 149,439 whose bibliographies we read) · 26 with a page here, the most cited first · ← Tianhua Zhang

1. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,875 citations
2. A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language ModelsACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)Wenqi Fan; Yujuan Ding; Liangbo Ning; Shijie Wang; Hengyun Li; Dawei Yin; Tat-Seng Chua;, Qing Li2024 · 1,010 citations
3. Self-RAG: Learning to Retrieve, Generate, and Critique through Self-ReflectionarXiv:2310.11511Akari Asai, Zeqiu Wu, Yizhong Wang, et al.2023 · 677 citations
4. Large Language Models for Information Retrieval: A SurveyACM Transactions on Information SystemsYutao Zhu; Huaying Yuan; Shuting Wang; Jiongnan Liu; Wenhan Liu; Chenlong Deng; Haonan Chen; Zheng Liu; Zhicheng Dou;, Ji-Rong Wen2023 · 339 citations
5. Ragas: Automated Evaluation of Retrieval Augmented GenerationarXiv:2309.15217Shahul Es, Jithin James, Luis Espinosa-Anke, et al.2023 · 283 citations
6. Corrective Retrieval Augmented GenerationarXiv:2401.15884Shi-Qi Yan, Jia-Chen Gu, Yun Zhu, et al.2024 · 273 citations
7. Combating Misinformation in the Age of LLMs: Opportunities and ChallengesAI MagazineCanyu Chen, Kai Shu2023 · 214 citations
8. Generative Representational Instruction TuningarXiv:2402.09906Niklas Muennighoff, Hongjin Su, Liang Wang, et al.2024 · 172 citations
9. Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-SpecificityarXiv:2310.07521Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, et al.2023 · 171 citations
10. Searching for Best Practices in Retrieval-Augmented GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Xiaohua Wang, Zhenghua Wang, Xuan Gao, et al.2024 · 150 citations
11. Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Wenhao Yu, Hongming Zhang, Xiaoman Pan, et al.2024 · 149 citations
12. RA-DIT: Retrieval-Augmented Dual Instruction TuningarXiv:2310.01352Xi Victoria Lin, Xilun Chen, Mingda Chen, et al.2023 · 149 citations
13. A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence GenerationarXiv:2307.03987Neeraj Varshney; Wenlin Yao; Hongming Zhang; Jianshu Chen;, Dong Yu2023 · 143 citations
14. FreshLLMs: Refreshing Large Language Models with Search Engine AugmentationarXiv:2310.03214Tu Vu, Mohit Iyyer, Xuezhi Wang, et al.2023 · 134 citations
15. Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and FuturearXiv:2309.15402Zheng Chu, Jingchang Chen, Qianglong Chen, et al.2023 · 125 citations
16. Can LLM-Generated Misinformation Be Detected?arXiv:2309.13788Canyu Chen, Kai Shu2023 · 108 citations
17. RQ-RAG: Learning to Refine Queries for Retrieval Augmented GenerationarXiv:2404.00610Chi-Min Chan, Chunpu Xu, Ruibin Yuan, et al.2024 · 90 citations
18. PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language ModelsarXiv:2402.07867Wei Zou, Runpeng Geng, Binghui Wang, et al.2024 · 80 citations
19. REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP)Yuhao Wang, Ruiyang Ren, Junyi Li, et al.2024 · 55 citations
20. SAIL: Search-Augmented Instruction LearningarXiv:2305.15225Hongyin Luo, Yung-Sung Chuang, Yuan Gong, et al.2023 · 43 citations
21. The Distracting Effect: Understanding Irrelevant Passages in RAGAnnual Meeting of the Association for Computational Linguistics (ACL)Chen Amiraz, Florin Cuconasu, Simone Filice, et al.2025 · 21 citations
22. MindSearch: Mimicking Human Minds Elicits Deep AI SearcherarXiv:2407.20183Zehui Chen, Kuikun Liu, Qiuchen Wang, et al.2024 · 20 citations
23. MMSearch-R1: Incentivizing LMMs to SearchAnnual Meeting of the Association for Computational Linguistics (ACL)Jinming Wu, Zihao Deng, Wei Li, et al.2026 · 16 citations
24. Mixed Distillation Helps Smaller Language Model Better ReasoningarXiv:2312.10730Chenglin Li, Qianglong Chen, Liangyue Li, et al.2023 · 11 citations
25. 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
26. Verify Before You Commit: Towards Faithful Reasoning in LLM Agents via Self-AuditingAnnual Meeting of the Association for Computational Linguistics (ACL)Wenhao Yuan, Chenchen Lin, Jian Chen, et al.2026

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