🧑‍🔬 Who cites Ruixue Ding

89 citations of their works from 76 papers of our library (of the 149,439 whose bibliographies we read) · 19 with a page here, the most cited first · ← Ruixue Ding

1. A Survey on Recent Approaches for Natural Language Processing in Low-Resource ScenariosConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Michael A. Hedderich, Lukas Lange, Heike Adel, et al.2021 · 401 citations
2. 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
3. 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
4. UniCorn: Towards Self-Improving Unified Multimodal Models through Self-Generated SupervisionAnnual Meeting of the Association for Computational Linguistics (ACL)Zhen Fang, Ruiyan Han, XinYu Sun, et al.2026 · 11 citations
5. Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity RecognitionInternational Conference on Computational Linguistics (COLING)Yuming Yang, Wantong Zhao, Caishuang Huang, et al.2025 · 11 citations
6. 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
7. 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
8. 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
9. 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
10. 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
11. A Survey of Large Language Model-Based Search AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Yunjia Xi, Jianghao Lin, Yongzhao Xiao, et al.2026
12. 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
13. Chart-MRAG: Benchmarking Multimodal Retrieval Augmented Generation on Chart-based DocumentsAnnual Meeting of the Association for Computational Linguistics (ACL)Ymyang, Jiang Zhong, Li Jin, et al.2026
14. 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
15. 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
16. L2Dir: Integrating L2-Norm and Directional Alignment for Unsupervised Contrastive Representation Learning in Multimodal RetrievalAnnual Meeting of the Association for Computational Linguistics (ACL)Tianyu Zong, Rui Dai, Hongzhu Yi, et al.2026
17. Lang2Act: Fine-Grained Visual Reasoning through Self-Emergent Linguistic ToolchainsFindings of the Association for Computational LinguisticsYuqi Xiong, Chunyi Peng, Zhipeng Xu, et al.2026
18. MDocRAG-RL: Empowering Multi-Modal Document RAG via Complex Visual Reasoning with Reinforcement LearningFindings of the Association for Computational LinguisticsZhongyu Wang2026
19. Simple-VGC: Enhancing Visual Grounding in Multimodal Reasoning via Adaptive Tool CompositionAnnual Meeting of the Association for Computational Linguistics (ACL)Ye Wang, Qianglong Chen, Siyuan Wang, et al.2026

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