RankGuide uses tensor-rank analysis of consecutive hidden states to route between small and large reasoning models and steer generations, reducing latency up to 1.75x while maintaining competitive accuracy on reasoning benchmarks.
Loretta: Low-rank economic tensor-train adaptation for ultra-low-parameter fine-tuning of large language models
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RankGuide: Tensor-Rank-Guided Routing and Steering for Efficient Reasoning
RankGuide uses tensor-rank analysis of consecutive hidden states to route between small and large reasoning models and steer generations, reducing latency up to 1.75x while maintaining competitive accuracy on reasoning benchmarks.