Best AI papers explained

515 Odcinki

1. Zuckerberg's AI Vision Analyzed

   Opublikowany: 26.07.2025
2. Inside Claude: Scaling, Agency, and Interpretability

   Opublikowany: 26.07.2025
3. Personalized language modeling from personalized human feedback

   Opublikowany: 26.07.2025
4. Position: Empowering Time Series Reasoning with Multimodal LLMs

   Opublikowany: 25.07.2025
5. An empirical risk minimization approach for offline inverse RL and Dynamic Discrete Choice models

   Opublikowany: 22.07.2025
6. Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities

   Opublikowany: 22.07.2025
7. The Invisible Leash: Why RLVR May Not Escape Its Origin

   Opublikowany: 20.07.2025
8. Language Model Personalization via Reward Factorization

   Opublikowany: 20.07.2025
9. Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked Diffusions

   Opublikowany: 18.07.2025
10. Do We Need to Verify Step by Step? Rethinking Process Supervision from a Theoretical Perspective

    Opublikowany: 17.07.2025
11. Soft Best-of-n Sampling for Model Alignment

    Opublikowany: 16.07.2025
12. On Temporal Credit Assignment and Data-Efficient Reinforcement Learning

    Opublikowany: 15.07.2025
13. Bradley–Terry and Multi-Objective Reward Modeling Are Complementary

    Opublikowany: 15.07.2025
14. Probing Foundation Models for World Models

    Opublikowany: 15.07.2025
15. GenAI-Powered Statistical Inference (with Unstructured Data)

    Opublikowany: 14.07.2025
16. Interpretable Reward Modeling with Active Concept Bottlenecks

    Opublikowany: 14.07.2025
17. PrefillOnly: An Inference Engine for Prefill-only Workloads in Large Language Model Applications

    Opublikowany: 14.07.2025
18. A Collectivist, Economic Perspective on AI

    Opublikowany: 14.07.2025
19. Textual Bayes: Quantifying Uncertainty in LLM-Based Systems

    Opublikowany: 12.07.2025
20. The Winner's Curse in Data-Driven Decisions

    Opublikowany: 11.07.2025