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cs.CL2025
BLASST: Dynamic BLocked Attention Sparsity via Softmax Thresholding
Jiayi Yuan, Cameron Shinn, Kai Xu +19
The growing demand for long-context inference capabilities in Large Language Models (LLMs) has intensified the computational and memory bottlenecks inherent to the self-attention m…
cs.CL2025
ICH-Qwen: A Large Language Model Towards Chinese Intangible Cultural Heritage
Wenhao Ye, Tiansheng Zheng, Yue Qi +6
The intangible cultural heritage (ICH) of China, a cultural asset transmitted across generations by various ethnic groups, serves as a significant testament to the evolution of hum…
cs.CL2025★ 1 cited
Long Is More Important Than Difficult for Training Reasoning Models
Si Shen, Fei Huang, Zhixiao Zhao +3
Difficult problems, which often result in long reasoning traces, are widely recognized as key factors for enhancing the performance of reasoning models. However, such high-challeng…