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GAAT (Geometry-Aware Alignment Transformer), an alignment-first pretrained model that estimates local correspondence reliability before cross-modal interaction, is proposed and introduced, establishing GAAT as a state-of-the-art multimodal foundation model for UAV perception.
EgoSIS is presented, a pose-free adapter that converts RGB-derived bidirectional flow into motion-canonical visual evidence in three stages and provides an interpretable interface between optical flow and spatial reasoning.
This work introduces FinCUABuildBench, a benchmark for evaluating financial CUA task construction, and introduces FinCUABuildAgent, a multi-agent system for automatically constructing dynamic financial CUA evaluation tasks.
J-Access is proposed, an inference-time audit that uses the Jacobian lens to map intermediate representations into vocabulary space and measures how often target concepts remain accessible along the model's output pathway, positioning J-Access as a model-level diagnostic for assessing residual susceptibility in unlearn...
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