Using optimality conditions from the second-service rule and a structural model on tennis data, the paper shows players value process utility positively and systematically trade off outcome probabilities for it.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2representative citing papers
Global Bradley-Terry rankings of LLMs are misleading due to structured heterogeneity in user preferences, and small (λ, ν)-portfolios recover coherent subpopulations that cover over 96% of votes with just five rankings.
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Process Utility in High-Stakes Competition
Using optimality conditions from the second-service rule and a structural model on tennis data, the paper shows players value process utility positively and systematically trade off outcome probabilities for it.
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Why Global LLM Leaderboards Are Misleading: Small Portfolios for Heterogeneous Supervised ML
Global Bradley-Terry rankings of LLMs are misleading due to structured heterogeneity in user preferences, and small (λ, ν)-portfolios recover coherent subpopulations that cover over 96% of votes with just five rankings.