AINeutralarXiv – CS AI · 6h ago6/10
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RKSC: Reasoning-Aware KV Cache Sharing and Confident Early Exit for Multi-Step LLM Inference
Researchers introduce RKSC, a training-free inference framework that optimizes multi-step LLM reasoning by sharing KV cache across similar branches and implementing early exit mechanisms. The system achieves 3x average speedup over baseline methods with minimal error rates, advancing efficiency in large language model inference without requiring model retraining.