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• Video-mme: The First-ever Comprehensive Evaluation Benchmark Of Multi-modal Llms In Video Analysis
  2024 · 1125 citations
• Tip-adapter: Training-free Adaption Of CLIP For Few-shot Classification
  2022 · 306 citations
• SPHINX: The Joint Mixing Of Weights, Tasks, And Visual Embeddings For Multi-modal Large Language Models
  2023 · 288 citations
• Point-bind & Point-llm: Aligning Point Cloud With Multi-modality For 3D Understanding, Generation, And Instruction Following
  2023 · 213 citations
• Manipllm: Embodied Multimodal Large Language Model For Object-centric Robotic Manipulation
  2023 · 209 citations
• Imagebind-llm: Multi-modality Instruction Tuning
  2023 · 174 citations
• Pointclip V2: Prompting CLIP And GPT For Powerful 3D Open-world Learning
  2022 · 158 citations
• Frozen CLIP Models Are Efficient Video Learners
  2022 · 156 citations
• CALIP: Zero-shot Enhancement Of CLIP With Parameter-free Attention
  2022 · 91 citations
• Can Language Understand Depth?
  2022 · 57 citations
• Delving Into RL For Image Generation With Cot: A Study On DPO Vs. GRPO
  2025
• Mint-cot: Enabling Interleaved Visual Tokens In Mathematical Chain-of-thought Reasoning
  2025
• Ac-dit: Adaptive Coordination Diffusion Transformer For Mobile Manipulation
  2025
• Unictokens: Boosting Personalized Understanding And Generation Via Unified Concept Tokens
  2025