FOCUS: Training-Free Decision-Preserving Context Compression for LLM Agents
This paper recast context compression as a causal decision preservation problem over discrete interaction units and introduces FOCUS, a training-free context compression framework that operates entirely at test time that requires no offline data collection or fine-tuning.
Shantanu Dixit, Anson Bastos, Xu-Chao Zhang et al.
· 0 citations