Author

Yudong Wang

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#artificial intelligence Oct 2025

NOSA: Native and Offloadable Sparse Attention

This work proposes NOSA, a trainable sparse attention mechanism natively designed for KV cache offloading that explicitly constrains the volume of CPU-GPU KV transfers, thereby achieving low communication overhead and high decoding throughput.

Yu-Xiang Huang, Peng-Jie Wang, Ji-Cheng Han et al. · arXiv.org · 4 citations · ⚡1

Preprint Jul 2026

UltraX: Refining Pre-Training Data at Scale with Adaptive Programmatic Editing

UltraX is proposed, a function-calling refinement framework for large-scale pre-training data that completes the editing function space by introducing insertion in addition to deletion and modification, enabling fine-grained instance-level editing.

Xinlong Zhao, Dongsheng Liu, Hengyu Zhao et al. · 0 citations