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SMA achieves superior spatial reasoning in frozen VLMs by converting verified experiences into transferable lessons, outperforming traditional methods without the need for parameter updates.
Visual perturbations can significantly alter predictions in world models, but ACPC offers a quantifiable way to diagnose and mitigate these effects.
R4DSG achieves a remarkable 12.5-point improvement in answering temporal questions, showcasing the power of structured memory in navigating complex egocentric video data.
Sparse feedback in auto-research could be the hidden bottleneck preventing breakthroughs, and this paper reveals how a fuzzing-inspired approach might unlock new avenues for discovery.
