Who cites «ColPali: Efficient Document Retrieval with Vision Language Models»
- ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning AgentsConference on Empirical Methods in Natural Language Processing (EMNLP)Qiuchen Wang, Ruixue Ding, Zehui Chen, et al.2025 · 39 citations
- 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
- REAL-MM-RAG: A Real-World Multi-Modal Retrieval BenchmarkAnnual Meeting of the Association for Computational Linguistics (ACL)Navve Wasserman, Roi Pony, Oshri Naparstek, et al.2025 · 22 citations
- VISA: Retrieval Augmented Generation with Visual Source AttributionAnnual Meeting of the Association for Computational Linguistics (ACL)Xueguang Ma, Shengyao Zhuang, Bevan Koopman, et al.2025 · 22 citations
- M-LongDoc: A Benchmark For Multimodal Super-Long Document Understanding And A Retrieval-Aware Tuning FrameworkConference on Empirical Methods in Natural Language Processing (EMNLP)Yew Ken Chia, Liying Cheng, Hou Pong Chan, et al.2025 · 21 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
- 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
- Doc-React: Multi-page Heterogeneous Document Question-answeringAnnual Meeting of the Association for Computational Linguistics (ACL)Junda Wu, Yu Xia, Tong Yu, et al.2025 · 6 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
- 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
- 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
- Agentic Very Long Video UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Aniket Rege, Arka Sadhu, Yuliang Li, et al.2026 · 1 citation
- Efficient Table Retrieval and Understanding with Multimodal Large Language ModelsFindings of the Association for Computational LinguisticsZhuoyan Xu, Haoyang Fang, Boran Han, et al.2026 · 1 citation
- Knowledge Extraction on Semi-Structured Content: Does It Remain Relevant for Question Answering in the Era of LLMs?Conference of the European Chapter of the Association for Computational Linguistics (EACL)Kai Sun, Yin Huang, Srishti Mehra, et al.2026 · 1 citation
- SCAN: Semantic Document Layout Analysis for Textual and Visual Retrieval-Augmented GenerationFindings of the Association for Computational LinguisticsNobuhiro Ueda, Yuyang Dong, Krisztián Boros, et al.2026 · 1 citation
- VisTW: Benchmarking Vision-Language Models for Taiwanese Mandarin in TaiwanFindings of the Association for Computational LinguisticsZhi Rui Tam, Yung-Yu Shih, Yen-Wei Lee, et al.2026 · 1 citation
- A Multistage Extraction Pipeline for Long Scanned Financial Documents: An Empirical Study in Industrial KYC WorkflowsAnnual Meeting of the Association for Computational Linguistics (ACL)Han Yuxuan, Yuanxing Zhang, Yushuo Wang, et al.2026
- 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
- ATIR: Towards Audio-Text Interleaved Contextual RetrievalAnnual Meeting of the Association for Computational Linguistics (ACL)Tong Zhao, Chenghao Zhang, Yutao Zhu, 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
- Automatic Slide Updating with User-Defined Dynamic Templates and Natural Language InstructionsFindings of the Association for Computational LinguisticsKun Zhou, Jiakai He, Wenmian Yang, 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
- Evaluating Perspectival Biases in Cross-Modal RetrievalFindings of the Association for Computational LinguisticsTeerapol Saengsukhiran, Peerawat Chomphooyod, Narabodee Rodjananant, et al.2026
- FinMRAGBench: A Realistic and Complex Benchmark for Multi-Modal RAG in Financial Document AnalysisFindings of the Association for Computational LinguisticsShouqing Yang, Qi Zhang, Yuhang Yang, et al.2026
- HiKEY: Hierarchical Multimodal Retrieval for Open-Domain Document Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Joongmin Shin, Gyuho Shim, Jeongbae Park, et al.2026
- Lang2Act: Fine-Grained Visual Reasoning through Self-Emergent Linguistic ToolchainsFindings of the Association for Computational LinguisticsYuqi Xiong, Chunyi Peng, Zhipeng Xu, et al.2026
- LëtzCross: A Cross-Lingual Page-Level Benchmark for Multimodal Retrieval over Luxembourgish DocumentsarXiv:2608.21714Omar El Bachyr, Fred Philippy, Laura Maria Bernardy, 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
- Take It All: Ensemble Retrieval for Multimodal Evidence AggregationFact Extraction and VERification Workshop (FEVER)Max Upravitelev, Veronika Solopova, Premtim Sahitaj, et al.2026
- When Tables Go Crazy: Evaluating Multimodal Models on French Financial DocumentsFinancial Narrative Processing WorkshopVirginie Mouilleron, Théo Lasnier, Anna Mosolova, et al.2026
This page in Markdown → https://md.research.elamur.ai/free/en/papers/faysse-2024-colpali-efficient-document-retrieval-vision/cited-by/