WorkCase 04
Bayesian Hiring Agent
Cost-aware, fairer resume screening by orchestrating multiple LLMs under uncertainty.
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The case
Context, problem, approach, result.
Context
Written up as a sole-authored preprint — "Bayesian Orchestration of Multi-LLM Agents for Cost-Aware Sequential Decision-Making", arXiv 2601.01522.
Problem
Screening at volume forces a choice nobody wants to make explicit: give every candidate the same expensive model pass, or give them all the same cheap one. The first does not scale and the second is where unfair outcomes hide.
Approach
Treat model choice as a sequential decision under uncertainty rather than a fixed pipeline: orchestrate several LLMs and spend more capable, more costly evaluation only where the decision is genuinely uncertain.
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