Adaptive Inference Budget Management in Large Language Models through Constrained Policy Optimization

Large Language Models (LLMs) have demonstrated remarkable capabilities in complex reasoning tasks, particularly in mathematical problem-solving and coding applications. Research has shown a strong correlation between the length of reasoning chains and improved accuracy in problem-solving outcomes. However, they face significant challenges: while extended reasoning processes enhance problem-solving capabilities, they often lead to inefficient solutions. […]

The post Adaptive Inference Budget Management in Large Language Models through Constrained Policy Optimization appeared first on MarkTechPost.

Fonte: https://www.marktechpost.com/2025/02/09/adaptive-inference-budget-management-in-large-language-models-through-constrained-policy-optimization/

Parole chiave: problemsolving, reasoning, language, models, large

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