Best AI papers explained

550 Episodio

1. Self-Boost via Optimal Retraining: An Analysis via Approximate Message Passing

   Pubblicato: 27/11/2025
2. Prompted Policy Search: Reinforcement Learning through Linguistic and Numerical Reasoning in LLMs

   Pubblicato: 27/11/2025
3. Ilya Sutskever – We're moving from the age of scaling to the age of research

   Pubblicato: 26/11/2025
4. Cognitive Foundations for Reasoning and Their Manifestation in LLMs

   Pubblicato: 26/11/2025
5. Natural emergent misalignment from reward hacking in production RL

   Pubblicato: 25/11/2025
6. Evolution Strategies at the Hyperscale

   Pubblicato: 25/11/2025
7. The Path Not Taken: RLVR Provably Learns Off the Principals

   Pubblicato: 23/11/2025
8. Back to Basics: Let Denoising Generative Models Denoise

   Pubblicato: 23/11/2025
9. LLM Prompt Duel Optimizer: Efficient Label-Free Prompt Optimization

   Pubblicato: 22/11/2025
10. Black-Box On-Policy Distillation of Large Language Models

    Pubblicato: 20/11/2025
11. Solving a million step LLM task with zero errors

    Pubblicato: 20/11/2025
12. Not All Thoughts Matter: Selective Attention for Efficient Reasoning

    Pubblicato: 19/11/2025
13. Sample-Efficient Parametric Learning from Natural Language

    Pubblicato: 19/11/2025
14. Bayesian Optimization in Language space: An Eval-Efficient AI Self-Improvement Framework

    Pubblicato: 18/11/2025
15. Context Engineering: Sessions, Memory

    Pubblicato: 16/11/2025
16. The Era of Agentic Organization: Learning to Organize with Language Models

    Pubblicato: 15/11/2025
17. Understanding neural networks through sparse circuits

    Pubblicato: 14/11/2025
18. Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning

    Pubblicato: 14/11/2025
19. Multi-Agent Evolve: LLM Self-Improvement Through Co-Evolution

    Pubblicato: 14/11/2025
20. LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics

    Pubblicato: 14/11/2025