Showing cs.CLShow all
2 papers · 1 filter
cs.CL2026
Out of the Memory Barrier: A Highly Memory Efficient Training System for LLMs with Million-Token Contexts
Wenhao Li, Daohai Yu, Gen Luo +7
Training Large Language Models (LLMs) on long contexts is severely constrained by prohibitive GPU memory overhead, not training time. The primary culprits are the activations, whos…
cs.CL2025
CCF: A Context Compression Framework for Efficient Long-Sequence Language Modeling
Wenhao Li, Bangcheng Sun, Weihao Ye +4
Scaling language models to longer contexts is essential for capturing rich dependencies across extended discourse. However, naïve context extension imposes significant computationa…