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Author

Ke Zhang

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#artificial intelligence Preprint Oct 2026

Dynamic LLM Routers are Often Misguided

Dynamic LLM routers promise to cut inference costs by sending each query to the cheapest model that can answer it correctly. We analyze six commercial routers across 14 settings on a diverse benchmark spanning eight task categories, finding that none of them outperforms a router that randomly selects between two well-c...

Sam Wang, Julia White, Sahibzada Allahyar et al. · 1 citation · ⚡1

Beyond Compilation: Evaluating Faithful Natural-Language-to-Lean Statement Formalization

This work uses a full $2^3$ factorial design to decompose three recurring interventions in formalization pipelines: parametric expert drafting, Mathlib/context search, and Lean elaboration feedback, suggesting that formal validity, proof-oriented Lean competence, and faithful statement generation should be reported sep...

Ke Zhang, P. Gallardo, S. Murthy et al. · 1 citation

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