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News/When is a better LLM worth paying for? Stochastic Optimization with Switching Mixed-Fidelity Oracles
arxiv
PublishedOctober 16, 2026 at 4:00 AM

When is a better LLM worth paying for? Stochastic Optimization with Switching Mixed-Fidelity Oracles

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arXiv:2610.21139v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly used upstream of decision-making to clean data, detect label errors, and reconstruct missing values. Yet LLM-assisted data curation creates a new operational tradeoff: higher-fidelity models and richer pr

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