Best AI papers explained

474 Avsnitt

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

   Publicerades: 2025-07-11
2. Aligning Learning and Endogenous Decision-Making

   Publicerades: 2025-07-11
3. Reliable Statistical Inference with Synthetic Data from Large Language Models

   Publicerades: 2025-07-11
4. Multi-Turn Reinforcement Learning from Human Preference Feedback

   Publicerades: 2025-07-10
5. Provably Learning from Language Feedback

   Publicerades: 2025-07-09
6. Markets with Heterogeneous Agents: Dynamics and Survival of Bayesian vs. No-Regret Learners

   Publicerades: 2025-07-05
7. Why Neural Network Can Discover Symbolic Structures with Gradient-based Training: An Algebraic and Geometric Foundation

   Publicerades: 2025-07-05
8. Causal Abstraction with Lossy Representations

   Publicerades: 2025-07-04
9. The Winner's Curse in Data-Driven Decisions

   Publicerades: 2025-07-04
10. Embodied AI Agents: Modeling the World

    Publicerades: 2025-07-04
11. Beyond Statistical Learning: Exact Learning Is Essential for General Intelligence

    Publicerades: 2025-07-04
12. What Has a Foundation Model Found? Inductive Bias Reveals World Models

    Publicerades: 2025-07-04
13. Language Bottleneck Models: A Framework for Interpretable Knowledge Tracing and Beyond

    Publicerades: 2025-07-03
14. Learning to Explore: An In-Context Learning Approach for Pure Exploration

    Publicerades: 2025-07-03
15. Human-AI Matching: The Limits of Algorithmic Search

    Publicerades: 2025-06-25
16. Uncertainty Quantification Needs Reassessment for Large-language Model Agents

    Publicerades: 2025-06-25
17. Bayesian Meta-Reasoning for Robust LLM Generalization

    Publicerades: 2025-06-25
18. General Intelligence Requires Reward-based Pretraining

    Publicerades: 2025-06-25
19. Deep Learning is Not So Mysterious or Different

    Publicerades: 2025-06-25
20. AI Agents Need Authenticated Delegation

    Publicerades: 2025-06-25