[CVPR 2025 Highlight] Official code for "Olympus: A Universal Task Router for Computer Vision Tasks"
[ICLR 2025] This is the official repository of our paper "MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine“
[ACL 2025] The code repository for "Mitigating Visual Forgetting via Take-along Visual Conditioning for Multi-modal Long CoT Reasoning" in PyTorch.
[NeurIPS 2025] Official Repo of Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration
[CVPR2025] SegAgent: Exploring Pixel Understanding Capabilities in MLLMs by Imitating Human Annotator Trajectories
🔥[CVPR2025] EventGPT: Event Stream Understanding with Multimodal Large Language Models
[CVPR 2025] Crab: A Unified Audio-Visual Scene Understanding Model with Explicit Cooperation
[NeurIPS25 & ICML25 Workshop on Reliable and Responsible Foundation Models] A Simple Baseline Achieving Over 90% Success Rate Against the Strong Black-box Models of GPT-4.5/4o/o1. Paper at: https://arxiv.org/abs/2503.10635
Official repository of the paper "A Glimpse to Compress: Dynamic Visual Token Pruning for Large Vision-Language Models"
PDF解析工具：GOT的vLLM加速实现，MinerU做布局识别裁剪、GOT做表格公式解析，实现RAG中的pdf解析
【CVPR2025】IDEA: Inverted Text with Cooperative Deformable Aggregation for Multi-modal Object Re-Identification
🚀 Global Compression Commander: Plug-and-Play Inference Acceleration for High-Resolution Large Vision-Language Models
[ICCVW 2025 (Oral)] Robust-LLaVA: On the Effectiveness of Large-Scale Robust Image Encoders for Multi-modal Large Language Models
On Path to Multimodal Generalist: General-Level and General-Bench
[NeurIPS'25] Backdoor Cleaning without External Guidance in MLLM Fine-tuning
[ICLR 2025] Breaking Mental Set to Improve Reasoning through Diverse Multi-Agent Debate
About Official repo of paper "SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models". A post-training framework that creates a cost-effective, self-iterative optimization loop.
The official implementation of "Patch-as-Decodable-Token: Towards Unified Multi-Modal Vision Tasks in MLLMs"
XpertEval: All-in-One Evaluation Framework for Multimodal Large Models
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