Who cites Pi Bu
- 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
- 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
- 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
- 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
- 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
- Multi-Agent Interactive Question Generation Framework for Long Document UnderstandingarXiv:2507.20145Kesen Wang, Daulet Toibazar, Abdulrahman Alfulayt, et al.2025 · 1 citation
- ALDEN: Reinforcement Learning for Active Navigation and Evidence Gathering in Long DocumentsAnnual Meeting of the Association for Computational Linguistics (ACL)Tianyu Yang, Terry Ruas, Yijun Tian, et al.2026
- Attention as Selector: Unlocking VLM Attention for Long Document Page RetrievalAnnual Meeting of the Association for Computational Linguistics (ACL)Minfeng Zhu, Linxin Bao, Wei Chen, et al.2026
- Doc-V*: Coarse-to-Fine Interactive Visual Reasoning for Multi-Page Document VQAAnnual Meeting of the Association for Computational Linguistics (ACL)Yuanlei Zheng, Pei Fu, Hang Li, et al.2026
- MAB-DQA: Addressing Query Aspect Importance in Document Question Answering with Multi-Armed BanditsAnnual Meeting of the Association for Computational Linguistics (ACL)Yixin Xiang, Yunshan Ma, Xiaoyu Du, et al.2026
- -SEA³-QA: A Fully Automated Self-Evolving, Adversarial Workflow for Arabic Long-Context Question-Answer GenerationArabic Natural Language Processing Conference (ArabicNLP)Kesen Wang, Daulet Toibazar, Pedro J Moreno Mengibar2025
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