This work constructs TextMuSS-10M, a large-scale synthetic scene text dataset spanning 10 scripts and 229 languages and proposes ScriptMoE, a script-aware Mixture-of-Experts (MoE) architecture that achieves the highest accuracy and is simpler than per-language experts, lighter than VLMs, and more accurate than both.
Xing-Song Ye, Yong-Kun Du, Jia-Xin Zhang et al.· 1 citation
This work presents \method, a training-free sparse-attention system that improves the distributed execution efficiency of adaptive sparse attention under multi-GPU sequence parallelism.
Hao Liu, Chenghua Huang, Ye Huang et al.· arXiv.org· 0 citations
A Cognitive-structured Multimodal Agent that externalizes visual information into an Episodic Visual Memory and selectively reactivates relevant episodes during reasoning is proposed, enabling reinforcement learning to optimize abstraction and retrieval policies.