The taxonomy structures optimization hypotheses into a two-level hierarchy of classes and factors, sampling classes based on an inverse-activity freshness metric to enforce test diversity before applying a Bayesian acquisition method to choose specific claims.
flowchart TD
subgraph S1[Stage 1: Class Sampling]
A[Rank Factor Classes] --> B[Calculate Inverse Freshness]
B --> C[Sample Under-Tested Class]
end
subgraph S2[Stage 2: Intra-Class Bayesian Selection]
C --> D{Acquisition Policy}
D -->|Thompson Sampling| E[Select Best Factor/Claim]
D -->|Upper Confidence Bound| E
D -->|Epsilon-Greedy| E
end
subgraph Eval[Evaluation Loop]
E --> F[Generate Snippet Edit]
F --> G[LLM Competitor Re-ranking]
G --> H[Update Posterior Probability]
H -.->|Feedback Loop| A
endReferenced by