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cs.DS2026
Asymptotically Optimal Sequential Testing with Heterogeneous LLMs
Guokai Li, Alys Liang, Mo Liu +4
We study a Bayesian binary sequential hypothesis testing problem with multiple large language models (LLMs). Each LLM has per-query cost , random waiting time with mean…
cs.DS2026
Multi-LLM Query Optimization
Arlen Dean, Zijin Zhang, Stefanus Jasin +1
Deploying multiple large language models (LLMs) in parallel to classify an unknown ground-truth label is a common practice, yet the problem of optimally allocating queries across h…