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Dataset Β· Hugging Face

PaDT-MLLM/COCO

Patch-as-Decodable-Token: Towards Unified Multi-Modal Vision Tasks in MLLMs [πŸ”— Released Code] [πŸ€— Datasets] [πŸ€— Checkpoints] [πŸ“„ Tech Report] [πŸ€— Paper] Figure A. PaDT pipeline. 🌟 Introduction We are pleased to introduce Patch-as-Decodable Token (PaDT), a unified paradigm that enables multimodal large language models (MLLMs) to directly generate both textual and visual outputs. At the core of PaDT are Visual Reference Tokens (VRTs). Unlike conventional MLLMs that… See the full description on the dataset page: https://huggingface.co/datasets/PaDT-MLLM/COCO.

Author / organizationPaDT-MLLM
License (as declared)apache-2.0
Downloads131 (as reported by Hugging Face)
Likes1
Created6 October 2025
Last updated at source10 October 2025
mllmmultimodalvision-language-modelvisual-groundingcomputer-vision
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  • 16 Oct 2026 Description: Patch-as-Decodable-Token: Towards Unified Multi-Modal Vision Tasks in MLLMs [πŸ”— Released Code] [πŸ€— Datasets] [πŸ€— Checkpoints] [πŸ“„ Tech Report] [πŸ€— Paper] Figure A. PaDT pipeline. 🌟 Introduction We are pleased to introduce Patch-as-Decodabl β†’ Patch-as-Decodable-Token: Towards Unified Multi-Modal Vision Tasks in MLLMs [πŸ”— Released Code] [πŸ€— Datasets] [πŸ€— Checkpoints] [πŸ“„ Tech Report] [πŸ€— Paper] Figure A. PaDT pipeline. 🌟 Introduction We are pleased to introduce Patch-as-Decodabl

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