HyperGuide: Hyperbolic Guidance for Efficient Multi-Step Reasoning in Large Language Models

In three linesHyperGuide uses hyperbolic geometry to guide multi-step reasoning in LLMs. A lightweight head projects hidden states into hyperbolic space, where distance-to-origin encodes solution proximity. A low-rank adapter is fine-tuned interactively. Consistent gains across benchmarks, with larger improvements on deeper reasoning chains.

Summary generated by Claude — human-verified