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Chen-Wei Wu

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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
Preprint Sep 2026

StepAudio 3 Gen Technical Report

This study introduces StepAudio 3 Gen, a general-purpose audio generation model that supports zero-shot text-to-speech (TTS), voice design, vocal generation, sound effects, music, vibe speech, and mixtures of multiple audio types within a unified framework.

Bin Lin, Bo Zhao, Bo-Yang Wang et al. · 1 citation
#artificial intelligence Preprint Sep 2026

STAR-Pro: Stage-Wise Token Adaptive Reduction with Progressive Refinement for Efficient Large Vision-Language Models

These findings show that effective pruning should preserve broad visual coverage before fusion and progressively refine the retained tokens as cross-modal evidence evolves during fusion, and propose STAR-Pro (STage-Wise Adaptive Token Reduction with Progressive Refinement), a training-free two-stage framework.

Yi-Chen Guo, Ting-Hao Wang, Qi-Zhe Zhang et al. · 1 citation

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