Also the impressive IMO-ProofBench Basic benchmark, the model achieved nearly 99% accuracy, though it fell slightly behind Gemini Deep Think on the Advanced subset.
The approach shifts from "result-oriented" to "process-oriented" verification, particularly important for theorem proving where rigorous step-by-step derivation matters more than just numerical answers.
"Process-oriented" verification has been a thing for a while in mathematical reasoning CoT. Google had a paper about it last year [1]. The key term to look for is "Process-reward model." I particularly like RL Tango [2].
The approach shifts from "result-oriented" to "process-oriented" verification, particularly important for theorem proving where rigorous step-by-step derivation matters more than just numerical answers.