Best AI papers explained

437 Avsnitt

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

   Publicerades: 2025-07-12
2. The Winner's Curse in Data-Driven Decisions

   Publicerades: 2025-07-11
3. SPIRAL: Self-Play for Reasoning Through Zero-Sum Games

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    Publicerades: 2025-06-25