PACF: Pattern-Aware Complexity Framework for Efficient Large Language Model Generation

This paper presents the Pattern-Aware Complexity Framework (PACF), a novel approach that dynamically detects and leverages patterns during Large Language Model (LLM) generation to reduce computational complexity while maintaining output quality. Key contributions: - Achieves 93.8% average Pattern Ut... View More