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• OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework
  2022 · 258 citations
• Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond
  2023 · 143 citations
• InterBERT: Vision-and-Language Interaction for Multi-modal Pretraining
  2020 · 56 citations
• mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video
  2023 · 50 citations
• ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities
  2023 · 42 citations
• mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration
  2023 · 29 citations
• mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections
  2022 · 15 citations
• TouchStone: Evaluating Vision-Language Models by Language Models
  2023 · 7 citations
• mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models
  2024 · 6 citations
• Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent
  2024 · 2 citations
• MMSpeech: Multi-modal Multi-task Encoder-Decoder Pre-training for Speech Recognition
  2022 · 1 citations