Defines behaviorally realistic strategic classification and proposes Pro-SF framework grounded in prospect theory to model biased agent manipulations in Stackelberg interactions.
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3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
years
2026 3verdicts
UNVERDICTED 3representative citing papers
A computational argumentation framework evaluates LLM summaries of parliamentary debates by checking preservation of formal argument structures tied to contested proposals.
Several fairness impossibility results share an RKHS geometry where linear mean constraints are overdetermined by unequal base rates, yielding the Pokémon theorem on residual MMD violations and feature-learning collapse.
citing papers explorer
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Beyond Rational Illusion: Behaviorally Realistic Strategic Classification
Defines behaviorally realistic strategic classification and proposes Pro-SF framework grounded in prospect theory to model biased agent manipulations in Stackelberg interactions.
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Evaluating LLM-Driven Summarisation of Parliamentary Debates with Computational Argumentation
A computational argumentation framework evaluates LLM summaries of parliamentary debates by checking preservation of formal argument structures tied to contested proposals.
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The Pok\'emon Theorem and other Fairness Impossibility Results
Several fairness impossibility results share an RKHS geometry where linear mean constraints are overdetermined by unequal base rates, yielding the Pokémon theorem on residual MMD violations and feature-learning collapse.