--- title: "Who cites Yuan Gao — 37 papers of our library" description: "37 papers of the Elamur Research library cite the works of Yuan Gao, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/yuan-gao/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yuan-gao/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Yuan Gao](https://md.research.elamur.ai/free/en/authors/yuan-gao/) / cited by # Who cites Yuan Gao 37 citations of their works from 37 papers of our library (of the 149,439 whose bibliographies we read) · 14 with a page here, the most cited first · [← Yuan Gao](https://md.research.elamur.ai/free/en/authors/yuan-gao/) 1. **[Knowledge Conflicts for LLMs: A Survey](https://md.research.elamur.ai/free/en/papers/xu-2024-knowledge-conflicts-llms-survey/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Rongwu Xu, Zehan Qi, Zhijiang Guo, et al.*2024 · 182 citations* 2. [**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/) 3. **[SimpleDoc: Multi-Modal Document Understanding with Dual-Cue Page Retrieval and Iterative Refinement](https://md.research.elamur.ai/free/en/papers/jain-2025-simpledoc-multi-modal-document-understanding/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Chelsi Jain, Yiran Wu, Yifan Zeng, et al.*2025 · 16 citations* 4. **[Position: LLMs Can be Good Tutors in English Education](https://md.research.elamur.ai/free/en/papers/ye-2025-position-llms-can-be-good/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jingheng Ye, Shen Wang, Deqing Zou, et al.*2025 · 9 citations* 5. **[LAD-RAG: Layout-aware Dynamic RAG for Visually-Rich Document Understanding](https://md.research.elamur.ai/free/en/papers/sourati-2026-lad-rag-layout-aware-dynamic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhivar Sourati, Zheng Wang, Marianne Menglin Liu, et al.*2026 · 4 citations* 6. **[a1: Steep Test-time Scaling Law via Environment Augmented Generation](https://md.research.elamur.ai/free/en/papers/mei-2026-a1-steep-test-time-scaling/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Lingrui Mei, Shenghua Liu, Yiwei Wang, et al.*2026 · 2 citations* 7. **[DocLens: A Tool-Augmented Multi-Agent Framework for Long Visual Document Understanding](https://md.research.elamur.ai/free/en/papers/zhu-2026-doclens-tool-augmented-multi-agent/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dawei Zhu, Rui Meng, Jiefeng Chen, et al.*2026 · 2 citations* 8. [**Multi-Agent Interactive Question Generation Framework for Long Document Understanding arXiv:2507.20145**Kesen Wang, Daulet Toibazar, Abdulrahman Alfulayt, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/wang-2025-multi-agent-interactive-question-generation/) 9. **[ALDEN: Reinforcement Learning for Active Navigation and Evidence Gathering in Long Documents](https://md.research.elamur.ai/free/en/papers/yang-2026-alden-reinforcement-learning-active-navigation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tianyu Yang, Terry Ruas, Yijun Tian, et al.*2026* 10. **[Attention as Selector: Unlocking VLM Attention for Long Document Page Retrieval](https://md.research.elamur.ai/free/en/papers/zhu-2026-attention-as-selector-unlocking-vlm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Minfeng Zhu, Linxin Bao, Wei Chen, et al.*2026* 11. **[Doc-V*: Coarse-to-Fine Interactive Visual Reasoning for Multi-Page Document VQA](https://md.research.elamur.ai/free/en/papers/zheng-2026-doc-v-coarse-fine-interactive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuanlei Zheng, Pei Fu, Hang Li, et al.*2026* 12. **[MAB-DQA: Addressing Query Aspect Importance in Document Question Answering with Multi-Armed Bandits](https://md.research.elamur.ai/free/en/papers/xiang-2026-mab-dqa-addressing-query-aspect/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yixin Xiang, Yunshan Ma, Xiaoyu Du, et al.*2026* 13. **[Opportunities and Challenges of LLMs in Education: An NLP Perspective](https://md.research.elamur.ai/free/en/papers/vajjala-2026-opportunities-challenges-llms-education-nlp/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Sowmya Vajjala, Bashar Alhafni, Stefano Banno, et al.*2026* 14. **[-SEA³-QA: A Fully Automated Self-Evolving, Adversarial Workflow for Arabic Long-Context Question-Answer Generation](https://md.research.elamur.ai/free/en/papers/wang-2025-mathbfa-sea-3-mathbfl-qa/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Kesen Wang, Daulet Toibazar, Pedro J Moreno Mengibar*2025* 23 more citing papers of our library have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/authors/yuan-gao/) — Yuan Gao