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Agent Preference Modeling research benchmarks · SOTA2 Research

Agent Preference Modeling

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Observed Preferences Full Fit

Per-Agent Per-Goal (Lower Bound)

0.092Modelling Loss

8

May 25, 2026

Observed Preferences No Distractors Fit Distractors Loss

0.154Modelling Loss

6

May 25, 2026

Observed Preferences Single-Stage Fit Two-Stage Loss

0.185Modelling Loss

6

May 25, 2026

Observed Preferences K-Fold Cross-Validation

0.153Modelling Loss

6

May 25, 2026

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Observed Preferences

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