LEAD: Length-Efficient Adaptive and Dynamic Reasoning for Large Language Models

Benchmark Model Rank Results
mathematical-reasoning-on-olympiadbenchLEAD (DeepSeek-R1-Distill-Qwen-7B)#14Accuracy: 65.14
mathematical-reasoning-on-math-500LEAD (DeepSeek-R1-Distill-Qwen-7B)#48Accuracy: 92.27
mathematical-reasoning-on-aime24LEAD (DeepSeek-R1-Distill-Qwen-7B)#88Acc: 44.67
mathematical-reasoning-on-aime-2025LEAD (DeepSeek-R1-Distill-Qwen-7B)#108Accuracy: 35.0