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RaLEs: a Benchmark for Radiology Language Evaluations
Neural Information Processing Systems
Here, we characterize the radiology report as a distinct domain and introduce RaLEs, the Radiology Language Evaluations, as a benchmark for natural language understanding and generation in radiology.
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Graph-based Unsupervised Disentangled Representation Learning via Multimodal Large Language Models
Neural Information Processing Systems
Disentangled representation learning (DRL) aims to identify and decompose underlying factors behind observations, thus facilitating data perception and generation.
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CSPG: Crossing Sparse Proximity Graphs for Approximate Nearest Neighbor Search
Neural Information Processing Systems
An efficient two-staged approach is designed for exploring CSPG, with fast approaching and cross-partition expansion.
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Object Reprojection Error (ORE): Camera pose benchmarks from lightweight tracking annotations
Neural Information Processing Systems
These target videos may vary widely in complexity of scenes, activities, camera trajectory, etc.
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