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1.What is identified as the primary bottleneck preventing Multimodal Large Language Models (MLLMs) from sustaining high spatial resolution and long temporal context?

2.What is ResAdapt designed to do?

3.How does ResAdapt integrate with existing MLLM backbones?

4.What training method does ResAdapt use for its Allocator?