Recursive Think-Answer Process for LLMs and VLMs

Benchmark Model Rank Results
code-generation-on-humanevalQwen-2.5-32B-R-TAP–Pass@1: 97.9
code-generation-on-mbppQwen-2.5-32B-R-TAP–Accuracy: 87.9
mathematical-reasoning-on-aime-2025Qwen3-235B-A22B-R-TAP (MoE, 235B)–Accuracy: 88.7
mathematical-reasoning-on-aime24Qwen3-235B-A22B-R-TAP (MoE, 235B)–Acc: 90.9
mathematical-reasoning-on-math-500MiMo-RL-7B-R-TAP–Accuracy: 97.3
mathematical-reasoning-on-minerva-mathR1-Distill-Qwen-7B-R-TAP–Accuracy: 42.3
mathematical-reasoning-on-olympiadbenchR1-Distill-Qwen-7B-R-TAP–Accuracy: 53.8
multi-task-language-understanding-on-mmlu-proMiMo-RL-7B-R-TAP–Accuracy: 65.9
multiple-choice-question-answering-mcqa-on-gpqa-diamondMiMo-RL-7B-R-TAP–Accuracy: 60.7