ARM Model: Breaking the Efficiency Barrier in AI Reasoning Systems

ARM Model: Breaking Through the Efficiency Bottleneck in Large Model Reasoning Introduction: Core Challenges in Large Model Reasoning In recent years, large language models have demonstrated remarkable capabilities in complex reasoning tasks, yet they commonly exhibit “overthinking” – applying intricate reasoning chains even for simple problems. This results in wasted computational resources and response delays. The ARM (Adaptive Reasoning Model) developed through collaboration between Fudan University and Ohio State University introduces an innovative adaptive reasoning architecture that significantly improves computational efficiency while maintaining reasoning accuracy. !https://team-arm.github.io/arm/images/architecture.png Visual: ARM’s dynamic reasoning format selection balances efficiency and precision Core Features: Three Reasoning …