Machine Heart
Jul 16, 2026 · Artificial Intelligence
Brake Overthinking in Long‑Reasoning Models by Detecting Semantic Redundancy
Long‑thinking LLMs often waste 41‑52% of tokens after the final answer; the PUMA framework detects when reasoning stops producing new semantic information, enabling early exit that cuts average token usage by 26.2% while keeping accuracy stable and even improving speed across multiple benchmarks.
PUMAearly exitllm-inference
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