BRIDGE: Budget-aware Reasoning via Intermediate Distillation with Guided Examples
Published:Dec 23, 2025 14:46
•1 min read
•ArXiv
Analysis
The article introduces a novel approach, BRIDGE, for budget-aware reasoning in the context of Large Language Models (LLMs). The method utilizes intermediate distillation and guided examples to optimize reasoning processes under budgetary constraints. This suggests a focus on efficiency and resource management within LLM applications, which is a relevant and important area of research.
Key Takeaways
- •Focuses on budget-aware reasoning in LLMs.
- •Employs intermediate distillation and guided examples.
- •Aims to optimize reasoning processes under budgetary constraints.
- •Relevant to efficiency and resource management in LLM applications.
Reference
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