Thinking as Compression: Your Reasoning Model is Secretly a Context Compressor 事件

Thinking as Compression: Your Reasoning Model is Secretly a Context Compressor arXiv:2605.28713v1 Announce Type: new Abstract: Context compression aims to shorten long context inputs with minimal information loss for LLM inference acceleration. While existing methods have shown promise, they typically rely on complex compression modules or compression-specific training, leaving the intrinsic capabilities of LLMs underexplored. In contrast, this work reveals that a thinking model itself can natu