Unifying Bayesian Inference, Game Theory & Thermodynamics
Discover a new variational principle linking Bayesian inference, game theory, and thermodynamics to explain collective intelligence in multi-agent systems.
MM-StanceDet: Advanced Multi-modal Stance Detection AI
Discover MM-StanceDet, a breakthrough AI framework enhancing multi-modal stance detection with retrieval augmentation and multi-agent reasoning.
LAPITHS Framework: Rethinking AI’s Human-Like Performance
Discover the LAPITHS framework for a theory-driven analysis of AI models, challenging claims of human-like cognition in AI performances.
Reliable AI Memory with Schema-Grounded Iterative Extraction
Discover how schema-grounded, iterative extraction improves AI memory accuracy and reliability beyond traditional unstructured recall methods.
HealthFormer: AI Model Simulates Clinical Interventions Accurately
Discover HealthFormer, a generative multimodal AI model that predicts human physiological responses to clinical interventions with high accuracy.