arXiv cs.CL
· Papers
Break Through the Compression Bottleneck: From Theory to Practice
arXiv:2607.20434v1 Announce Type: new Abstract: As the parameter size of language models continues to grow, effective model compression is required to reduce their computational and memory overhead. Existing compression methods suffer from bottleneck issues: when the compression ratio is increased, performance degrades