Brief Is Better: Non-Monotonic Chain-of-Thought Budget Effects in Function-Calling Language Agents

A study reveals that brief chain-of-thought (CoT) reasoning in language agents significantly improves task accuracy, with optimal performance at around 32 tokens and a sharp decline beyond this point. This finding is crucial for developers as it highlights the importance of concise reasoning to enhance function selection accuracy and reduce errors, suggesting a new method called Function-Routing CoT that ensures structural reliability without needing budget adjustments.

Read the full article at arXiv cs.CL (NLP)

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