🔗 Who cites «LongDocURL: a Comprehensive Multimodal Long Document Benchmark Integrating Understanding, Reasoning, and Locating»

19 papers of our library cite it (of the 149,439 whose bibliographies we read) · 6 with a page here, the most cited first · ← back to «LongDocURL: a Comprehensive Multimodal Long Document Benchmark Integrating Understanding, Reasoning, and Locating»

1. Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMsarXiv:2507.09477Yangning Li, Weizhi Zhang, Yuyao Yang, et al.2025 · 17 citations
2. SimpleDoc: Multi-Modal Document Understanding with Dual-Cue Page Retrieval and Iterative RefinementConference on Empirical Methods in Natural Language Processing (EMNLP)Chelsi Jain, Yiran Wu, Yifan Zeng, et al.2025 · 16 citations
3. LAD-RAG: Layout-aware Dynamic RAG for Visually-Rich Document UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Zhivar Sourati, Zheng Wang, Marianne Menglin Liu, et al.2026 · 4 citations
4. a1: Steep Test-time Scaling Law via Environment Augmented GenerationFindings of the Association for Computational LinguisticsLingrui Mei, Shenghua Liu, Yiwei Wang, et al.2026 · 2 citations
5. 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
6. Multi-Agent Interactive Question Generation Framework for Long Document UnderstandingarXiv:2507.20145Kesen Wang, Daulet Toibazar, Abdulrahman Alfulayt, et al.2025 · 1 citation

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

This page in Markdown → https://md.research.elamur.ai/free/en/papers/deng-2025-longdocurl-comprehensive-multimodal-long-document/cited-by/