Author

Shiming Xiang

3 papers indexed here

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Preprint Sep 2026

How Far Are We from Removing the Visual Encoder? Scaling Laws for Encoder-Free Multimodal Pretraining

Most modern multimodal large language models (MLLMs) build on a pretrained visual encoder that provides a strong visual prior. Encoder-free MLLMs instead learn visual representations directly from raw pixels, offering a simple and unified architecture, but their scaling behavior has not been systematically characterize...

Lin Chen, Bo-Lin Ni, Qi Yang et al. · 0 citations

#artificial intelligence Oct 2025

Taming Modality Entanglement in Continual Audio-Visual Segmentation

A novel Continual Audio-Visual Segmentation (CAVS) task, aiming to continuously segment new classes guided by audio, and a Collision-based Multi-modal Rehearsal (CMR) framework, designed to address challenges of multi-modal semantic drift and co-occurrence confusion.

Yuyang Hong, Qi Yang, Tao Zhang et al. · arXiv.org · 3 citations · ⚡1

#artificial intelligence Preprint Aug 2026

DiffPDE: Masked Diffusion Language Models as PDE Solver

This work proposes DiffPDE, a framework leveraging discrete diffusion language models for targeted code repair by introducing a localized re-masking and infilling strategy, which achieves competitive accuracy, outperforms same-scale AR models, and significantly accelerates repair.

Wen-Xuan Guo, Yuyang Hong, Lu-Bin Fan et al. · 0 citations