Multi-Turn Rate (MTR)

Metric evaluating whether the RPA maintains persona across turns, penalizing repetition, out-of-character responses, and dialogue errors

Neighborhood — ranked by edge-count

paper

cosine ≥ 0.65 · no typed edge

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

Multi-Attempt Rate (metric)concept0.764
Secondary metric: percentage of responses containing multiple attempts, separating surface from actual self-correction
Multi-Turn Promptingmethod0.724
A prompting baseline that elicits N responses across N sequential conversation turns
ESR Rate (metric)concept0.711
Primary metric: percentage of responses containing multiple attempts that successfully improve on the first attempt
Answer Switching Rate (ASR)method0.702
Key evaluation metric: proportion of inputs for which an intervention successfully flips model output
Multi Level Price Approachframework0.685
Multimethod (Generic Function) Dispatchconcept0.683
n-dimensional association model can express binding mechanisms for multimethods by letting values range over methods of arity n and applying appropriate α and β transformations.
multimethod (generic function) dispatch via n-way lookupconcept0.681
The associative model can describe binding for generic function dispatch by varying values over methods of arity n.
DB-MTL (Dual-Balancing Multi-Task Learning)method0.679
The proposed method combining loss-scale balancing via logarithm transformation and gradient-magnitude balancing via maximum-norm normalization.