System 1 Thinking in Large Reasoning Models Explained
Discover how large reasoning models perform fast, intuitive system 1 thinking and the challenges they face in accuracy and efficiency.
Bayesian vs No-Regret Learners in Market Dynamics
Explore how Bayesian and no-regret learners compete in markets, their survival dynamics, and hybrid strategies for robust financial learning.
Understanding Representation in Large Language Models
Explore how large language models use representation vs. memorization to process language and their cognitive implications.
Graph Rewiring Techniques to Fix GNN Over-Squashing
Explore graph rewiring methods to overcome over-squashing and over-smoothing in GNNs, enhancing information flow and model performance.
Efficient Last-Iterate Convergence in Constrained MDPs
Discover the PDR-ANPG algorithm for efficient last-iterate convergence in constrained Markov decision processes with improved sample complexity.