Crumb
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Recommendedpaper · 2026-06-11
“We propose CRUMB (Clustered Retrieval Using Minimised-MMD Batching), a three-stage inference wrapper that (i) clusters the test queries, (ii) selects a small, distributionally matched training subset for each cluster by greedily minimising the maximum mean discrepancy (MMD), and (iii) runs exact PFN inference on each reduced-context batch.”
CRUMB: Efficient and Robust Inference for Prior-Fitted Networks via Distribution ↗