Best AI papers explained

515 Episodio

1. Zuckerberg's AI Vision Analyzed

   Pubblicato: 26/07/2025
2. Inside Claude: Scaling, Agency, and Interpretability

   Pubblicato: 26/07/2025
3. Personalized language modeling from personalized human feedback

   Pubblicato: 26/07/2025
4. Position: Empowering Time Series Reasoning with Multimodal LLMs

   Pubblicato: 25/07/2025
5. An empirical risk minimization approach for offline inverse RL and Dynamic Discrete Choice models

   Pubblicato: 22/07/2025
6. Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities

   Pubblicato: 22/07/2025
7. The Invisible Leash: Why RLVR May Not Escape Its Origin

   Pubblicato: 20/07/2025
8. Language Model Personalization via Reward Factorization

   Pubblicato: 20/07/2025
9. Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked Diffusions

   Pubblicato: 18/07/2025
10. Do We Need to Verify Step by Step? Rethinking Process Supervision from a Theoretical Perspective

    Pubblicato: 17/07/2025
11. Soft Best-of-n Sampling for Model Alignment

    Pubblicato: 16/07/2025
12. On Temporal Credit Assignment and Data-Efficient Reinforcement Learning

    Pubblicato: 15/07/2025
13. Bradley–Terry and Multi-Objective Reward Modeling Are Complementary

    Pubblicato: 15/07/2025
14. Probing Foundation Models for World Models

    Pubblicato: 15/07/2025
15. GenAI-Powered Statistical Inference (with Unstructured Data)

    Pubblicato: 14/07/2025
16. Interpretable Reward Modeling with Active Concept Bottlenecks

    Pubblicato: 14/07/2025
17. PrefillOnly: An Inference Engine for Prefill-only Workloads in Large Language Model Applications

    Pubblicato: 14/07/2025
18. A Collectivist, Economic Perspective on AI

    Pubblicato: 14/07/2025
19. Textual Bayes: Quantifying Uncertainty in LLM-Based Systems

    Pubblicato: 12/07/2025
20. The Winner's Curse in Data-Driven Decisions

    Pubblicato: 11/07/2025