nabla-reasoner

Improves LLM reasoning quality at inference time by optimizing token logits using gradient descent, combining reward model signals with KL-regularization. Bridges parametric training-time and non-parametric test-time scaling through token-level optimization.

Independent GitHub snapshot · Automated classification · Original documentation governs