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Low Reasoning Effort Is Enough for Routine Office Work by Language-Model Agents

Xu, Xiaonan et al.
arXiv (All) · Papers
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cryptography-and-securitysoftware-engineering
Purpose: Developers choose how much a language-model agent reasons before it acts. Some pick a high level for fear that a low one is not enough, and pay for it in tokens, time and overthinking. We tested whether a low level is enough for routine office work. Methods: Two tiers of GPT-5.6 did 14 rout
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