Not All Turns Are Equally Hard: Adaptive Thinking Budgets For Efficient Multi-Turn Reasoning

1. 1Formulate multi-turn reasoning as a sequential decision-making problem
2. 2Develop adaptive thinking budgets to allocate computational resources based on turn difficulty
3. 3Implement and evaluate the approach using LLMs and multi-turn reasoning benchmarks

AI engineers and researchers benefit from this approach as it optimizes compute efficiency and reduces overthinking in LLMs, while product managers can leverage this to improve overall system performance

💡 Adaptive thinking budgets can improve multi-turn reasoning efficiency by allocating resources based on turn difficulty

💡 Adaptive thinking budgets optimize LLM compute efficiency