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FlyBy teaches small reasoning models to query when they lack knowledge

huggingface.co by Chanuk Lee et al. Editor score 7/10

The analysis distinguishes execution bottlenecks from knowledge bottlenecks, and FlyBy trains 4B and 8B models to decide whether, what and how much to query from stronger models. This offers a cost-aware alternative to spending more inference-time reasoning when external information is needed.

What

FlyBy is a selective-query framework for small reasoning models that encounter knowledge bottlenecks.

Method

Models reason, diagnose what remains unresolved, and query stronger models when external knowledge is needed; cost-aware reinforcement learning calibrates query decisions.

Why it matters

FlyBy-4B achieved 45.96% pass@8 on 1,158 problems across six benchmarks, surpassing Qwen3-14B at 2.7 times lower serving cost.

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