StateSight: Benchmarking Latent Spatial-State Reconstruction in Vision-Language Models
英文标题：StateSight: Benchmarking Latent Spatial-State Reconstruction in Vision-Language Models
arXiv:2608.20414v1 Announce Type: new Abstract: Vision-language models are increasingly used for multimodal question answering, yet their ability to reconstruct latent spatial structure from a single image remains difficult to isolate. Broad benchmarks often combine perception, optical character re
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arXiv:2608.20414v1 Announce Type: new Abstract: Vision-language models are increasingly used for multimodal question answering, yet their ability to reconstruct latent spatial structure from a single image remains difficult to isolate. Broad benchmarks often combine perception, optical character re
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