Resolution as a First-Class Decision: Task-Conditioned Routing for Efficient Multimodal Large Language Models
cs.CV
Submitted: 2026-09-28
Updated: 2026-09-28
Terminology
Sources
- An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
- Token Merging: Your ViT But Faster
- SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
- GPT-4 Technical Report
- Qwen3-VL Technical Report
- HyperVL: An Efficient and Dynamic Multimodal Large Language Model for Edge Devices
- Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
- Infinity-MM: Scaling Multimodal Performance with Large-Scale and High-Quality Instruction Data
- FineVision: Open Data Is All You Need
- LLaVA-OneVision-1.5: Fully Open Framework for Democratized Multimodal Training
- Well-Read Students Learn Better: On the Importance of Pre-training Compact Models
- MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts
- MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities
- MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?
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