think-at-hard-selective-refinement

Reduce reasoning model inference cost by selectively applying latent iterations—use a lightweight neural decider to identify hard tokens and refine only those with focused LoRA modules, achieving 94% token exemption with 8-11% accuracy gain.

Independent GitHub snapshot · Automated classification · Original documentation governs