Best AI papers explained

550 Episoade

1. Hierarchical Reasoning Model

   Publicat: 04.08.2025
2. Test-time Offline Reinforcement Learning on Goal-related Experience

   Publicat: 04.08.2025
3. Interpreting Chain of Thought: A Walkthrough and Discussion

   Publicat: 04.08.2025
4. The wall confronting large language models

   Publicat: 04.08.2025
5. COLLABLLM: LLMs From Passive to Collaborative

   Publicat: 31.07.2025
6. A decade's battle on dataset bias: are we there yet?

   Publicat: 29.07.2025
7. GEPA: Generative Feedback for AI System Optimization

   Publicat: 29.07.2025
8. From AI-Curious to AI-First: Engineering Production AI Systems

   Publicat: 28.07.2025
9. Context Engineering: Beyond Simple Prompting to LLM Architecture

   Publicat: 28.07.2025
10. Agentic Misalignment: LLMs as Insider Threats

    Publicat: 28.07.2025
11. Small Language Models: Future of Agentic AI

    Publicat: 28.07.2025
12. Learning without training: The implicit dynamics of in-context learning

    Publicat: 28.07.2025
13. Inverse Scaling in Test-Time Compute

    Publicat: 28.07.2025
14. LLM Economist: Large Population Models and Mechanism Design in Multi-Agent Generative Simulacra

    Publicat: 28.07.2025
15. Microsoft's Blueprint: AI, Quantum, and the Agentic Future

    Publicat: 26.07.2025
16. Zuckerberg's AI Vision Analyzed

    Publicat: 26.07.2025
17. Inside Claude: Scaling, Agency, and Interpretability

    Publicat: 26.07.2025
18. Personalized language modeling from personalized human feedback

    Publicat: 26.07.2025
19. Position: Empowering Time Series Reasoning with Multimodal LLMs

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

    Publicat: 22.07.2025