3 papers
cs.LG2026
Blurry Window Attention
Axel Laborieux, Christos Sourmpis, Juan Gabriel Kostelec +1
The Softmax Attention operation in Transformer language models has a quadratic complexity in the sequence length and a growing state size in the form of KV cache, which becomes a b…
cs.AI2026
AllMem: A Memory-centric Recipe for Efficient Long-context Modeling
Ziming Wang, Xiang Wang, Kailong Peng +5
Large Language Models (LLMs) encounter significant performance bottlenecks in long-sequence tasks due to the computational complexity and memory overhead inherent in the self-atten…
cs.CL2025
FlashEVA: Accelerating LLM inference via Efficient Attention
Juan Gabriel Kostelec, Qinghai Guo
Transformer models have revolutionized natural language processing, achieving state-of-the-art performance and demonstrating remarkable scalability. However, their memory demands,…