Best AI papers explained

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1. Agentic Misalignment: LLMs as Insider Threats

   Gepubliceerd: 28-7-2025
2. Small Language Models: Future of Agentic AI

   Gepubliceerd: 28-7-2025
3. Learning without training: The implicit dynamics of in-context learning

   Gepubliceerd: 28-7-2025
4. Inverse Scaling in Test-Time Compute

   Gepubliceerd: 28-7-2025
5. LLM Economist: Large Population Models and Mechanism Design in Multi-Agent Generative Simulacra

   Gepubliceerd: 28-7-2025
6. Microsoft's Blueprint: AI, Quantum, and the Agentic Future

   Gepubliceerd: 26-7-2025
7. Zuckerberg's AI Vision Analyzed

   Gepubliceerd: 26-7-2025
8. Inside Claude: Scaling, Agency, and Interpretability

   Gepubliceerd: 26-7-2025
9. Personalized language modeling from personalized human feedback

   Gepubliceerd: 26-7-2025
10. Position: Empowering Time Series Reasoning with Multimodal LLMs

    Gepubliceerd: 25-7-2025
11. An empirical risk minimization approach for offline inverse RL and Dynamic Discrete Choice models

    Gepubliceerd: 22-7-2025
12. Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities

    Gepubliceerd: 22-7-2025
13. The Invisible Leash: Why RLVR May Not Escape Its Origin

    Gepubliceerd: 20-7-2025
14. Language Model Personalization via Reward Factorization

    Gepubliceerd: 20-7-2025
15. Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked Diffusions

    Gepubliceerd: 18-7-2025
16. Do We Need to Verify Step by Step? Rethinking Process Supervision from a Theoretical Perspective

    Gepubliceerd: 17-7-2025
17. Soft Best-of-n Sampling for Model Alignment

    Gepubliceerd: 16-7-2025
18. On Temporal Credit Assignment and Data-Efficient Reinforcement Learning

    Gepubliceerd: 15-7-2025
19. Bradley–Terry and Multi-Objective Reward Modeling Are Complementary

    Gepubliceerd: 15-7-2025
20. Probing Foundation Models for World Models

    Gepubliceerd: 15-7-2025