Human Parity Measure
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A Human Parity Measure is a human baseline evaluation measure that quantifies model performance relative to human expert performance through win-rate calculations and tie handling.
- AKA: Human Parity Index, HPI, Human-Parity Score, Model-Human Performance Measure, Human Equivalence Measure.
- Context:
- It can typically calculate Win-Rate Ratios between model outputs and human outputs.
- It can typically incorporate Tie Adjustments for equivalent performance.
- It can often utilize Pairwise Preference Judgments from human evaluators.
- It can often apply Statistical Significance Tests to validate performance claims.
- It can measure Performance Gaps across evaluation dimensions.
- It can support Model Selection Decisions in deployment scenarios.
- It can integrate with Confidence Interval Calculations for precision estimates.
- It can employ Bootstrap Resampling Methods for uncertainty quantification.
- It can range from being a Binary Human Parity Measure to being a Graded Human Parity Measure, depending on its judgment granularity.
- It can range from being a Single-Aspect Human Parity Measure to being a Multi-Aspect Human Parity Measure, depending on its evaluation scope.
- It can range from being a Raw Human Parity Measure to being a Normalized Human Parity Measure, depending on its score scaling.
- It can range from being a Point-Estimate Human Parity Measure to being an Interval-Estimate Human Parity Measure, depending on its uncertainty representation.
- ...
- Examples:
- NLG Human Parity Measures, such as:
- Task-Specific Human Parity Measures, such as:
- Domain-Specific Human Parity Measures, such as:
- ...
- Counter-Examples:
- Absolute Performance Measure, which lacks human comparison.
- Inter-Model Comparison Measure, which compares model-to-model.
- Reference-Based Measure, which uses gold references rather than human performance.
- See: Human Baseline Evaluation Measure, Pairwise Preference Method, Win-Rate Calculation, Statistical Significance Testing, Stratified Bootstrap Method, Bradley-Terry Model, Thurstone Preference Model, Statistical Evaluation Model, NLG Evaluation Framework.