Discover FRACTAL, a novel fractional recurrent architecture enhancing state space models for superior long sequence temporal analysis and prediction accura...
Explore why preserving temporal evidence is crucial for accurate safety evaluations of mental health AI systems and learn about the SCOPE-MH framework.
Discover how the IMAX framework enhances exploration in RLVR using prefix-tuned priors, improving reasoning and reducing entropy collapse in AI models.
Explore how advanced vision-language models demonstrate self-recognition using mirror tests, revealing new insights into AI self-awareness and cognition.