---
title: "Who cites Xinyan Guan — 63 papers of our library"
description: "63 papers of the Elamur Research library cite the works of Xinyan Guan, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/xinyan-guan/cited-by/"
---
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# Who cites Xinyan Guan

64 citations of their works from 63 papers of our library (of the 149,439 whose bibliographies we read) · 20 with a page here, the most cited first · [← Xinyan Guan](https://md.research.elamur.ai/free/en/authors/xinyan-guan/)

1. **[Large Language Models for Information Retrieval: A Survey](https://md.research.elamur.ai/free/en/papers/zhu-2023-large-language-models-information-retrieval/) [ACM Transactions on Information Systems](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-information-systems/)**Yutao Zhu; Huaying Yuan; Shuting Wang; Jiongnan Liu; Wenhan Liu; Chenlong Deng; Haonan Chen; Zheng Liu; Zhicheng Dou;, Ji-Rong Wen*2023 · 339 citations*
2. **[Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models](https://md.research.elamur.ai/free/en/papers/chen-2025-towards-reasoning-era-survey-long/) [Science China Information Sciences](https://md.research.elamur.ai/free/en/venues/science-china-information-sciences/)**Qiguang Chen, Libo Qin, Jinhao Liu, et al.*2025 · 176 citations*
3. **[WebThinker: Empowering Large Reasoning Models with Deep Research Capability](https://md.research.elamur.ai/free/en/papers/li-2025-webthinker-empowering-large-reasoning-models/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Xiaoxi Li, Jiajie Jin, Guanting Dong, et al.*2025 · 72 citations*
4. **[A Survey of Post-Training Scaling in Large Language Models](https://md.research.elamur.ai/free/en/papers/lai-2025-survey-post-training-scaling-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hanyu Lai, Xiao Liu, Junjie Gao, et al.*2025 · 18 citations*
5. [**Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs arXiv:2507.09477**Yangning Li, Weizhi Zhang, Yuyao Yang, et al.*2025 · 17 citations*](https://md.research.elamur.ai/free/en/papers/li-2025-towards-agentic-rag-deep-reasoning/)
6. **[DeepTrans: Deep Reasoning Translation via Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/wang-2026-deeptrans-deep-reasoning-translation-reinforcement/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Jiaan Wang, Fandong Meng, Jie Zhou*2026 · 11 citations*
7. **[R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/zhao-2026-r-search-empowering-llm-reasoning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Qingfei Zhao, Ruobing Wang, Dingling Xu, et al.*2026 · 7 citations*
8. **[SciRAG: Adaptive, Citation-Aware, and Outline-Guided Retrieval and Synthesis for Scientific Literature](https://md.research.elamur.ai/free/en/papers/ding-2026-scirag-adaptive-citation-aware-outline/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Hang Ding, Yilun Zhao, Tiansheng Hu, et al.*2026 · 7 citations*
9. **[DeepPresenter: Environment-Grounded Reflection for Agentic Presentation Generation](https://md.research.elamur.ai/free/en/papers/zheng-2026-deeppresenter-environment-grounded-reflection-agentic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hao Zheng, Guozhao Mo, Xinru Yan, et al.*2026 · 3 citations*
10. **[ReflectiveRAG: Rethinking Adaptivity in Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/verma-2026-reflectiverag-rethinking-adaptivity-retrieval-augmented/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Akshay Verma, Swapnil Gupta, Siddharth Pillai, et al.*2026 · 3 citations*
11. **[Search-P1: Path-Centric Reward Shaping for Stable and Efficient Agentic RAG Training](https://md.research.elamur.ai/free/en/papers/xia-2026-search-p1-path-centric-reward/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tianle Xia, Ming Xu, Lingxiang Hu, et al.*2026 · 2 citations*
12. **[A Survey of Large Language Model-Based Search Agents](https://md.research.elamur.ai/free/en/papers/xi-2026-survey-large-language-model-based/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yunjia Xi, Jianghao Lin, Yongzhao Xiao, et al.*2026*
13. **[Automatic Slide Updating with User-Defined Dynamic Templates and Natural Language Instructions](https://md.research.elamur.ai/free/en/papers/zhou-2026-automatic-slide-updating-user-defined/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kun Zhou, Jiakai He, Wenmian Yang, et al.*2026*
14. **[CheckRLM: Effective Knowledge–Thought Coherence Checking in Retrieval-Augmented Reasoning](https://md.research.elamur.ai/free/en/papers/xu-2026-checkrlm-effective-knowledge-thought-coherence/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dingling Xu, Ruobing Wang, Qingfei Zhao, et al.*2026*
15. **[Efficient Prior-Guided Reasoning for Robust Retrieval-Augmented Generation under Conflicts](https://md.research.elamur.ai/free/en/papers/yuan-2026-efficient-prior-guided-reasoning-robust/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaowei Yuan, Ziyang Huang, Zhao Yang, et al.*2026*
16. **[From Fluent to Useful: Generative AI That Models Purpose, Audience, and Presenter for Scientific Communication](https://md.research.elamur.ai/free/en/papers/mondal-2026-fluent-useful-generative-ai-that/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ishani Mondal*2026*
17. **[MAST: A Multi-View Alignment Strategy for Optimal Transport-Based Contrastive Clustering of Short Text](https://md.research.elamur.ai/free/en/papers/zheng-2026-mast-multi-view-alignment-strategy/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zijian Zheng, Yonghe Lu*2026*
18. **[MemCoRL: Alternating Co-Optimization of Memory Retrieval and Utilization via Collaborative Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/liu-2026-memcorl-alternating-co-optimization-memory/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuewen Liu, Peng Xu, Muxi Diao, et al.*2026*
19. **[NEST: Nested Evidence Survival for Retrieval](https://md.research.elamur.ai/free/en/papers/verma-2026-nest-nested-evidence-survival-retrieval/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Akshay Verma, Siddharth Pillai, Prateek Sircar, et al.*2026*
20. **[Optimizing RAG Rerankers with LLM Feedback via Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/wu-2026-optimizing-rag-rerankers-llm-feedback/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuhang Wu, Xiangqing Shen, Fanfan Wang, et al.*2026*

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

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