🔗 Who cites «ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning Agents»

25 papers of our library cite it (of the 149,439 whose bibliographies we read) · 7 with a page here, the most cited first · ← back to «ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning Agents»

1. VRAG-RL: Empower Vision-Perception-Based RAG for Visually Rich Information Understanding via Iterative Reasoning with Reinforcement LearningConference on Neural Information Processing Systems (NeurIPS)Qiuchen Wang, Ruixue Ding, Yu Zeng, et al.2025 · 23 citations
2. ViDoRe V3: A Comprehensive Evaluation of Retrieval Augmented Generation in Complex Real-World ScenariosAnnual Meeting of the Association for Computational Linguistics (ACL)António Loison, Quentin Macé, Antoine Edy, et al.2026 · 7 citations
3. Attention Basin: Why Contextual Position Matters in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zihao Yi, Zhenqing Ling, Delong Zeng, et al.2026 · 2 citations
4. DocLens: A Tool-Augmented Multi-Agent Framework for Long Visual Document UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Dawei Zhu, Rui Meng, Jiefeng Chen, et al.2026 · 2 citations
5. Sculpting the Vector Space: Towards Efficient Multi-Vector Visual Document Retrieval via Prune-then-Merge FrameworkFindings of the Association for Computational LinguisticsYibo Yan, Mingdong Ou, Yi Cao, et al.2026 · 2 citations
6. GlimpRouter: Efficient Collaborative Inference by Glimpsing One Token of ThoughtsFindings of the Association for Computational LinguisticsWenhao Zeng, Xuteng Zhang, Yuling Shi, et al.2026 · 1 citation
7. MDocRAG-RL: Empowering Multi-Modal Document RAG via Complex Visual Reasoning with Reinforcement LearningFindings of the Association for Computational LinguisticsZhongyu Wang2026

18 more papers of our library cite it; they have no page here yet.

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