Best AI papers explained

550 Episodio

1. Hierarchical Reasoning Model

   Pubblicato: 04/08/2025
2. Test-time Offline Reinforcement Learning on Goal-related Experience

   Pubblicato: 04/08/2025
3. Interpreting Chain of Thought: A Walkthrough and Discussion

   Pubblicato: 04/08/2025
4. The wall confronting large language models

   Pubblicato: 04/08/2025
5. COLLABLLM: LLMs From Passive to Collaborative

   Pubblicato: 31/07/2025
6. A decade's battle on dataset bias: are we there yet?

   Pubblicato: 29/07/2025
7. GEPA: Generative Feedback for AI System Optimization

   Pubblicato: 29/07/2025
8. From AI-Curious to AI-First: Engineering Production AI Systems

   Pubblicato: 28/07/2025
9. Context Engineering: Beyond Simple Prompting to LLM Architecture

   Pubblicato: 28/07/2025
10. Agentic Misalignment: LLMs as Insider Threats

    Pubblicato: 28/07/2025
11. Small Language Models: Future of Agentic AI

    Pubblicato: 28/07/2025
12. Learning without training: The implicit dynamics of in-context learning

    Pubblicato: 28/07/2025
13. Inverse Scaling in Test-Time Compute

    Pubblicato: 28/07/2025
14. LLM Economist: Large Population Models and Mechanism Design in Multi-Agent Generative Simulacra

    Pubblicato: 28/07/2025
15. Microsoft's Blueprint: AI, Quantum, and the Agentic Future

    Pubblicato: 26/07/2025
16. Zuckerberg's AI Vision Analyzed

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

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

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

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

    Pubblicato: 22/07/2025