Introspective Diffusion Language Models

Benchmark Model Rank Results
multi-task-language-understanding-on-mmluI-DLM-32B#2Average (%): 86.8
code-generation-on-mbppI-DLM (32B)#3Accuracy: 94.6
mathematical-reasoning-on-math-500I-DLM (32B)#8Accuracy: 97.6
code-generation-on-humanevalI-DLM-32B#11Pass@1: 96.3
mathematical-reasoning-on-aime24I-DLM (32B)#22Acc: 83.3
arithmetic-reasoning-on-gsm8kI-DLM (8B)#23Accuracy: 95.0
mathematical-reasoning-on-aime-2025I-DLM (32B)#40Accuracy: 80.0
code-generation-on-livecodebench-v6I-DLM-32B#44Pass@1: 57.1
multi-task-language-understanding-on-mmlu-proI-DLM-32B#45Accuracy: 79.7
multiple-choice-question-answering-mcqa-on-gpqa-diamondI-DLM (32B)#93Accuracy: 62.1