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#artificial intelligence Preprint Oct 2026

ReMAP: Restoring the Perceptual Cycle with Reasoning-Time Latent Visual Memory

As multimodal large language models (MLLMs) reason for longer, attention to the initial visual input diminishes, weakening visual grounding. Visual memory reintroduces visual evidence during reasoning. We conduct a controlled analysis of visual memory along three axes: curation, organization, and access. We find that l...

Hao-Wen Jiang, Zhan-Yu Guo, Chen-Wei Wu et al. · 0 citations

Uncertainty Makes It Stable: Curiosity-Driven Quantized Mixture-of-Experts

A curiosity-driven quantized Mixture-of-Experts framework that addresses both accuracy and stability through Bayesian epistemic uncertainty-based routing across heterogeneous experts, suitable for safety-sensitive edge deployments where both accuracy and predictability are critical.

S. C. Cajas Ordóñez, Luis Fernando Torres Torres, M. J. Meni et al. · 1 citation

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