Do LLMs Really Think? Exploring AI Cognition
Explore how large language models (LLMs) might think through associative logic, challenging traditional views on AI rationality and cognition.
Agent-Driven AI Boosts Astrophysics Research Efficiency
Discover how agent-driven AI systems enhance astrophysics research by streamlining data analysis and improving parameter inference pipelines.
AdaQE-CG: Adaptive Query Expansion for AI Model Cards
Discover AdaQE-CG, an adaptive query expansion framework improving web-scale generative AI model and data card generation with MetaGAI-Bench.
Measure-Theoretic Framework for Epistemic Convergence
Explore how possibilistic ignorance transitions to probabilistic certainty using a measure-theoretic framework for epistemic knowledge contraction.
Advancing Robotics Beyond Theory of Mind Models
Explore new robotic designs that move beyond Theory of Mind, focusing on active participation and dynamic social coordination for better human-robot intera...