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PORA: Learning When More Reasoning Pays Off for LLM Agents

Yan, Bo et al.
arXiv (All) · Papers
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artificial-intelligence
LLM agents perform tasks over multiple steps and revise their actions based on feedback. As the total reasoning budget is often limited and must support future steps, the agent must choose between short and long reasoning before each action. Longer reasoning may improve the final task outcome by pre
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