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Dynamic spatial audio reasoning requires a model to associate changing acoustic observations with the correct source and recover its spatial state at a queried time or interval, a challenge intensified by overlapping speech and source motion. To study this problem, we introduce Sonic-Bench, comprising 2.8K first-order...
This work studies Vision Wormhole's redundancy by fitting a post-hoc sparse autoencoder to frozen Vision Wormhole activations and measuring reconstruction, downstream utility, feature reuse, and token-level interventions across nine reasoning benchmarks, and establishes strong post-hoc compressibility relative to the o...
SyRHM, a framework that decomposes harmful meme detection into meaning-grounded retrieval and symbolic-language-enhanced multi-stage reasoning, achieves superior performance on most evaluation settings against multimodal and reasoning-based baselines, while providing reasoning traces for harmful content.
This work proposes ForeSight, a first-token output-risk forecasting framework that distills weak and redundant early safety signals into compact, layer-aware risk representations and achieves superior and efficient early-risk forecasting while relying solely on first-token hidden states.
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