🔗 Who cites «SlideVQA: A Dataset for Document Visual Question Answering on Multiple Images»

53 papers of our library cite it (of the 149,439 whose bibliographies we read) · 21 with a page here, the most cited first · ← back to «SlideVQA: A Dataset for Document Visual Question Answering on Multiple Images»

1. MMLongBench-Doc: Benchmarking Long-context Document Understanding with VisualizationsConference on Neural Information Processing Systems (NeurIPS)Yubo Ma, Yuhang Zang, Liangyu Chen, et al.2024 · 92 citations
2. Unifying Multimodal Retrieval via Document Screenshot EmbeddingConference on Empirical Methods in Natural Language Processing (EMNLP)Xueguang Ma, Sheng-Chieh Lin, Minghan Li, et al.2024 · 61 citations
3. NVLM: Open Frontier-Class Multimodal LLMsarXiv:2409.11402Wenliang Dai, Nayeon Lee, Boxin Wang, et al.2024 · 44 citations
4. 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
5. Baichuan-Omni-1.5 Technical ReportarXiv:2501.15368Yadong Li, Jun Liu, Tao Zhang, et al.2025 · 28 citations
6. 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
7. 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
8. 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
9. 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
10. MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware RetrievalConference on Empirical Methods in Natural Language Processing (EMNLP)Xixi Wu, Yanchao Tan, Nan Hou, et al.2025 · 12 citations
11. 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
12. HybridKV: Hybrid KV Cache Compression for Efficient Multimodal Large Language Model InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Bowen Zeng, Feiyang Ren, Jun Zhang, et al.2026 · 4 citations
13. Evaluating Multimodal Large Language Models on Vertically Written Japanese TextLanguage Resources and Evaluation Conference (LREC)Keito Sasagawa, Shuhei Kurita, Daisuke Kawahara2026 · 3 citations
14. 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
15. 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
16. 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
17. 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
18. ExStrucTiny: A Benchmark for Schema-Variable Structured Information Extraction from Document ImagesConference of the European Chapter of the Association for Computational Linguistics (EACL)Mathieu Sibue, Andrés Muñoz Garza, Samuel Mensah, et al.2026
19. Lang2Act: Fine-Grained Visual Reasoning through Self-Emergent Linguistic ToolchainsFindings of the Association for Computational LinguisticsYuqi Xiong, Chunyi Peng, Zhipeng Xu, et al.2026
20. 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
21. MDocRAG-RL: Empowering Multi-Modal Document RAG via Complex Visual Reasoning with Reinforcement LearningFindings of the Association for Computational LinguisticsZhongyu Wang2026

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

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