PIPBench is a profile-inclusive benchmark with 1,369 test cases from 251 real users and synthetic agents that evaluates personalized image generation methods, revealing that current approaches struggle to jointly interpret multiple reference images for preference alignment.
Journal of Research in Personality37, 504–528 (04 2003)
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A stochastic agent-based model integrates tumor and immune cell behaviors to simulate progression and evaluate single and combination cancer therapies.
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PIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation
PIPBench is a profile-inclusive benchmark with 1,369 test cases from 251 real users and synthetic agents that evaluates personalized image generation methods, revealing that current approaches struggle to jointly interpret multiple reference images for preference alignment.
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A stochastic agent-based model for simulating tumor-immune dynamics and evaluating therapeutic strategies
A stochastic agent-based model integrates tumor and immune cell behaviors to simulate progression and evaluate single and combination cancer therapies.