AINeutralarXiv – CS AI · 8h ago6/10
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Not All Errors Are Equal: Consequence-Aware Reasoning Compute Allocation
Researchers propose a consequence-aware compute allocation system for reasoning models that prioritizes high-impact tasks based on real-world failure costs rather than just predicted difficulty. Testing on software engineering benchmarks shows the method reduces cost-weighted loss by 22-33% compared to difficulty-based routing, with a practical predictor-driven variant retaining over 90% of theoretical gains.