Best AI papers explained

547 Avsnitt

1. RAG is Dead, Context Engineering is King: Building Reliable AI Systems

   Publicerades: 2025-08-20
2. A Survey of Personalization: From RAG to Agent

   Publicerades: 2025-08-20
3. Facilitating the Adoption of Causal Infer-ence Methods Through LLM-Empowered Co-Pilot

   Publicerades: 2025-08-19
4. Performance Prediction for Large Systems via Text-to-Text Regression

   Publicerades: 2025-08-16
5. Sample More to Think Less: Group Filtered Policy Optimization for Concise Reasoning

   Publicerades: 2025-08-15
6. DINOv3: Vision Models for Self-Supervised Learning

   Publicerades: 2025-08-15
7. Agent Lightning: Training Any AI Agents with Reinforcement Learning

   Publicerades: 2025-08-14
8. Computational-Statistical Tradeoffs at the Next-Token Prediction Barrier

   Publicerades: 2025-08-14
9. From Model Weights to Agent Workflows: Charting the New Frontier of Optimization in Large Language Models

   Publicerades: 2025-08-12
10. Is Chain-of-Thought Reasoning a Mirage?

    Publicerades: 2025-08-12
11. Agentic Web: Weaving the Next Web with AI Agents

    Publicerades: 2025-08-11
12. The Assimilation-Accommodation Gap in LLM Intelligence

    Publicerades: 2025-08-10
13. The Minimalist AI Kernel: A New Frontier in Reasoning

    Publicerades: 2025-08-06
14. Statistical Rigor for Interpretable AI

    Publicerades: 2025-08-06
15. Full-Stack Alignment: Co-Aligning AI and Institutions with Thick Models of Value

    Publicerades: 2025-08-04
16. A foundation model to predict and capture human cognition

    Publicerades: 2025-08-04
17. Generative Recommendation with Semantic IDs: A Practitioner’s Handbook

    Publicerades: 2025-08-04
18. Hierarchical Reasoning Model

    Publicerades: 2025-08-04
19. Test-time Offline Reinforcement Learning on Goal-related Experience

    Publicerades: 2025-08-04
20. Interpreting Chain of Thought: A Walkthrough and Discussion

    Publicerades: 2025-08-04