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This paper proposes Representation Curriculum (RC), a training-time intervention that stages feature utilization to reduce over-reliance on exposure-confounded historical signals and improve cold-start generalization in ranking systems. The method is theoretically analyzed and validated on public benchmarks and large-scale eBay search experiments.
This paper reformulates hospital mechanism design as program synthesis for language models, using a multi-agent simulator (Medi-Sim) to evaluate policy rules under strategic provider responses. It demonstrates pressure migration across provider channels and synthesizes an inspectable mixed-objective program that reduces up-coding and rejection while retaining funds.
This paper proposes a game-theoretic framework to address AI-induced delusional belief spirals caused by sycophantic chatbots. It introduces 'Belief Versioning,' an inference-time intervention that reduces spiral rates significantly in simulations and GPT-4o tests.
OpenSimula, an open-source Python implementation of the Simula mechanism-design recipe for controlled synthetic-data generation, has been added to the AfterImage dataset tool.