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• Griffon-G: Bridging Vision-Language and Vision-Centric Tasks via Large Multimodal Models
  2024 · 1 citations
• LaME: Learning to Think in Latent Space for Multimodal Embedding via Information Bottleneck
  2026
• CREM: Compression-Driven Representation Enhancement for Multimodal Retrieval and Comprehension
  2026
• TraceVision: Trajectory-Aware Vision-Language Model for Human-Like Spatial Understanding
  2026
• GeM-VG: Towards Generalized Multi-image Visual Grounding with Multimodal Large Language Models
  2026
• TRACER: Texture-Robust Affordance Chain-of-Thought for Deformable-Object Refinement
  2026
• MRD: Multi-resolution Retrieval-Detection Fusion for High-Resolution Image Understanding
  2025
• Compressing then Matching: An Efficient Pre-training Paradigm for Multimodal Embedding
  2025
• GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
  2025
• FOCUS: Unified Vision-language Modeling For Interactive Editing Driven By Referential Segmentation
  2025