ConCise is a training-free protocol that compresses multi-step RAG context from O(N²) to O(N) tokens using conclusion chains and fused generation, achieving 64.63% average token savings.
Enhancing llm qos through cloud-edge collaboration: A diffusion-based multi-agent reinforcement learning approach,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.IR 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
ConCise: Training-Free Conclusion-Chain State Compression for Cost-Efficient Multi-Step RAG Services
ConCise is a training-free protocol that compresses multi-step RAG context from O(N²) to O(N) tokens using conclusion chains and fused generation, achieving 64.63% average token savings.