Article

Dynamic Adaptive Reasoning: Optimizing LLM Inference-Time Thinking via Intent-Aware Scheduling

2025-11-05

Abstract excerpt

Recent progress in complex reasoning tasks has revealed the potential of large language models driven by Chain-of-Thought (CoT) processes. However, their inference-time reasoning often suffers from inefficiency and limited adaptability. This work introduces the Intent-Aware Reasoning Scheduler (IARS), a framework that dynamically refines inference-time reasoning by enabling models to perceive and adjust their own...

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Literature Corpus work: 9c651eb3-7747-5fb4-89d0-28e105d09c5d
DOI: 10.20944/preprints202511.0291.v1

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