Baobao Algorithm Notes
May 26, 2025 · Artificial Intelligence
When Should Large Language Models Think? 10 Cutting‑Edge Strategies to Boost Reasoning Efficiency
This article reviews ten recent papers that tackle the over‑thinking problem in large language models by shortening chain‑of‑thought reasoning, introducing dynamic early‑exit, adaptive thinking triggers, and reinforcement‑learning‑based training, showing how models can maintain or improve accuracy while dramatically reducing token usage and latency.
AI researchadaptive inferencechain-of-thought
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