Best AI papers explained

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1. GenAI-Powered Statistical Inference (with Unstructured Data)

   Gepubliceerd: 14-7-2025
2. Interpretable Reward Modeling with Active Concept Bottlenecks

   Gepubliceerd: 14-7-2025
3. PrefillOnly: An Inference Engine for Prefill-only Workloads in Large Language Model Applications

   Gepubliceerd: 14-7-2025
4. A Collectivist, Economic Perspective on AI

   Gepubliceerd: 14-7-2025
5. Textual Bayes: Quantifying Uncertainty in LLM-Based Systems

   Gepubliceerd: 12-7-2025
6. The Winner's Curse in Data-Driven Decisions

   Gepubliceerd: 11-7-2025
7. SPIRAL: Self-Play for Reasoning Through Zero-Sum Games

   Gepubliceerd: 11-7-2025
8. Beyond Statistical Learning: Exact Learning Is Essential for General Intelligence

   Gepubliceerd: 11-7-2025
9. Aligning Learning and Endogenous Decision-Making

   Gepubliceerd: 11-7-2025
10. Reliable Statistical Inference with Synthetic Data from Large Language Models

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

    Gepubliceerd: 10-7-2025
12. Provably Learning from Language Feedback

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

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

    Gepubliceerd: 5-7-2025
15. Causal Abstraction with Lossy Representations

    Gepubliceerd: 4-7-2025
16. The Winner's Curse in Data-Driven Decisions

    Gepubliceerd: 4-7-2025
17. Embodied AI Agents: Modeling the World

    Gepubliceerd: 4-7-2025
18. Beyond Statistical Learning: Exact Learning Is Essential for General Intelligence

    Gepubliceerd: 4-7-2025
19. What Has a Foundation Model Found? Inductive Bias Reveals World Models

    Gepubliceerd: 4-7-2025
20. Language Bottleneck Models: A Framework for Interpretable Knowledge Tracing and Beyond

    Gepubliceerd: 3-7-2025