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cs.LG2026
Training-Free Hashing-Based Attention via Binary Principal Components
Daohai Yu, Zhanpeng Zeng, Keyu Chen +6
Long-context large language models (LLMs) are increasingly deployed in real-world applications, yet self-attention remains a major efficiency bottleneck -- especially during decodi…
cs.LG2025
Training Long-Context LLMs Efficiently via Chunk-wise Optimization
Wenhao Li, Yuxin Zhang, Gen Luo +2
While long-context large language models (LLMs) exhibit remarkable document processing capabilities, their prohibitively high training costs often hinder customized applications. T…