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RiO-DETR makes real-time oriented object detection with transformers a reality by cleverly decoupling angle estimation and injecting angular diversity into dense supervision.
Today's code-generating AI falls apart when faced with real-world software engineering tasks that demand cross-repository reasoning and external knowledge, achieving less than 45% success on the new BeyondSWE benchmark.
VLMs can slash 88% of their visual tokens without performance loss by dropping tokens based on reconstruction error, sidestepping attention-based methods.