Reward-Guided Speculative Decoding (RSD) combines lightweight models with powerful ones to accelerate LLM inference while prioritizing high-quality outputs.

• Achieves 1.5-2.8x speedup over conventional approaches without sacrificing performance
• Dynamically evaluates intermediate steps using a process reward model
• Outperforms traditional speculative decoding methods by incorporating reward-based bias
• Particularly effective for complex reasoning tasks

This engineering innovation addresses a critical challenge in LLM deployment: balancing computational efficiency with output quality. For AI systems in production environments, RSD enables faster responses while maintaining reasoning capabilities.

Reward-Guided Speculative Decoding for Efficient LLM Reasoning