Head-to-Head Evaluation of UCBD vs. Multi-Signal Fusion Frameworks

Conduct systematic head-to-head evaluations comparing the UCBD cheapest-first cascade to multi-signal fusion frameworks, such as UniCR, on shared benchmarks to determine relative accuracy, coverage, and computational cost under matched conditions.

Background

UCBD is proposed as a cheapest-first cascade orchestrating multiple uncertainty signal types, whereas multi-signal fusion frameworks like UniCR operate at a calibration/fusion layer. The paper positions these as complementary but does not provide direct comparative experiments.

The authors explicitly state that head-to-head comparisons remain to be done, underscoring an unresolved evaluation gap necessary to understand trade-offs between orchestration (UCBD) and post-hoc fusion (e.g., UniCR).