Fine‑tuned LLM judges conceptual reasoning in a single forward pass
Researchers fine‑tuned a judge model on a conceptual reasoning dataset, achieving critique scores in one forward pass that match chain‑of‑thought performance on Qwen‑3.6‑27B. The model stays robust to rewrites and paraphrasing, making cheap, scalable evaluation of reasoning possible.