Best AI papers explained

437 Episodo

1. Textual Bayes: Quantifying Uncertainty in LLM-Based Systems

   Publicado: 12/7/2025
2. The Winner's Curse in Data-Driven Decisions

   Publicado: 11/7/2025
3. SPIRAL: Self-Play for Reasoning Through Zero-Sum Games

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

   Publicado: 11/7/2025
5. Aligning Learning and Endogenous Decision-Making

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

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

   Publicado: 10/7/2025
8. Provably Learning from Language Feedback

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

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

    Publicado: 5/7/2025
11. Causal Abstraction with Lossy Representations

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

    Publicado: 4/7/2025
13. Embodied AI Agents: Modeling the World

    Publicado: 4/7/2025
14. Beyond Statistical Learning: Exact Learning Is Essential for General Intelligence

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

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

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

    Publicado: 3/7/2025
18. Human-AI Matching: The Limits of Algorithmic Search

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

    Publicado: 25/6/2025
20. Bayesian Meta-Reasoning for Robust LLM Generalization

    Publicado: 25/6/2025