Best AI papers explained

454 Episodes

1. Beyond Statistical Learning: Exact Learning Is Essential for General Intelligence

   Published: 7/11/2025
2. Aligning Learning and Endogenous Decision-Making

   Published: 7/11/2025
3. Reliable Statistical Inference with Synthetic Data from Large Language Models

   Published: 7/11/2025
4. Multi-Turn Reinforcement Learning from Human Preference Feedback

   Published: 7/10/2025
5. Provably Learning from Language Feedback

   Published: 7/9/2025
6. Markets with Heterogeneous Agents: Dynamics and Survival of Bayesian vs. No-Regret Learners

   Published: 7/5/2025
7. Why Neural Network Can Discover Symbolic Structures with Gradient-based Training: An Algebraic and Geometric Foundation

   Published: 7/5/2025
8. Causal Abstraction with Lossy Representations

   Published: 7/4/2025
9. The Winner's Curse in Data-Driven Decisions

   Published: 7/4/2025
10. Embodied AI Agents: Modeling the World

    Published: 7/4/2025
11. Beyond Statistical Learning: Exact Learning Is Essential for General Intelligence

    Published: 7/4/2025
12. What Has a Foundation Model Found? Inductive Bias Reveals World Models

    Published: 7/4/2025
13. Language Bottleneck Models: A Framework for Interpretable Knowledge Tracing and Beyond

    Published: 7/3/2025
14. Learning to Explore: An In-Context Learning Approach for Pure Exploration

    Published: 7/3/2025
15. Human-AI Matching: The Limits of Algorithmic Search

    Published: 6/25/2025
16. Uncertainty Quantification Needs Reassessment for Large-language Model Agents

    Published: 6/25/2025
17. Bayesian Meta-Reasoning for Robust LLM Generalization

    Published: 6/25/2025
18. General Intelligence Requires Reward-based Pretraining

    Published: 6/25/2025
19. Deep Learning is Not So Mysterious or Different

    Published: 6/25/2025
20. AI Agents Need Authenticated Delegation

    Published: 6/25/2025