Papers

• Enhanced OoD Detection through Cross-Modal Alignment of Multi-Modal Representations (2025)
  Jeonghyeon Kim et al.
  4.47
• DanQing: An Up-to-Date Large-Scale Chinese Vision-Language Pre-training Dataset (2026)
  Hengyu Shen et al.
  1.94
• UniX: Unifying Autoregression and Diffusion for Chest X-Ray Understanding and Generation (2026)
  Ruiheng Zhang et al.
  1.94
• HiMu: Hierarchical Multimodal Frame Selection for Long Video Question Answering (2026)
  Dan Ben-Ami et al.
  1.94
• LoMo: Local Modality Substitution for Deeper Vision-Language Fusion (2026)
  Feng Han et al.
  1.94
• GridVQA-X: A Framework for Evaluating Multimodal Explainability Methods (2026)
  Sujay Belsare et al.
  1.94
• Small Vision-Language Models are Smart Compressors for Long Video Understanding (2026)
  Junjie Fei et al.
  1.83
• Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation (2025)
  Mohammad Mahdi Abootorabi et al.
  1.28
• MVL-SIB: A Massively Multilingual Vision-Language Benchmark for Cross-Modal Topical Matching (2025)
  Fabian David Schmidt et al.
  1.28
• Multimodal Language Modeling for High-Accuracy Single Cell Transcriptomics Analysis and Generation (2025)
  Yaorui Shi et al.
  1.28
• Lumina-Image 2.0: A Unified and Efficient Image Generative Framework (2025)
  Qi Qin et al.
  1.28
• Unified Multimodal Understanding and Generation Models: Advances, Challenges, and Opportunities (2025)
  Xinjie Zhang et al.
  1.28
• Seeing, Listening, Remembering, and Reasoning: A Multimodal Agent with Long-Term Memory (2025)
  Lin Long et al.
  1.28
• RAG-Anything: All-in-One RAG Framework (2025)
  Zirui Guo et al.
  1.28
• RoboOmni: Proactive Robot Manipulation in Omni-modal Context (2025)
  Siyin Wang et al.
  1.28
• ROVER: Benchmarking Reciprocal Cross-Modal Reasoning for Omnimodal Generation (2025)
  Yongyuan Liang et al.
  1.28
• Youku-mPLUG: A 10 Million Large-scale Chinese Video-Language Dataset for Pre-training and Benchmarks (2023)
  Haiyang Xu et al.
  —
• Flash-VStream: Memory-Based Real-Time Understanding for Long Video Streams (2024)
  Haoji Zhang et al.
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• MMCOMPOSITION: Revisiting the Compositionality of Pre-trained Vision-Language Models (2024)
  Hang Hua et al.
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• The Curse of Multi-Modalities: Evaluating Hallucinations of Large Multimodal Models across Language, Visual, and Audio (2024)
  Sicong Leng et al.
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• M3DocRAG: Multi-modal Retrieval is What You Need for Multi-page Multi-document Understanding (2024)
  Jaemin Cho et al.
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