Best AI papers explained

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1. Computational-Statistical Tradeoffs at the Next-Token Prediction Barrier

   Gepubliceerd: 14-8-2025
2. From Model Weights to Agent Workflows: Charting the New Frontier of Optimization in Large Language Models

   Gepubliceerd: 12-8-2025
3. Is Chain-of-Thought Reasoning a Mirage?

   Gepubliceerd: 12-8-2025
4. Agentic Web: Weaving the Next Web with AI Agents

   Gepubliceerd: 11-8-2025
5. The Assimilation-Accommodation Gap in LLM Intelligence

   Gepubliceerd: 10-8-2025
6. The Minimalist AI Kernel: A New Frontier in Reasoning

   Gepubliceerd: 6-8-2025
7. Statistical Rigor for Interpretable AI

   Gepubliceerd: 6-8-2025
8. Full-Stack Alignment: Co-Aligning AI and Institutions with Thick Models of Value

   Gepubliceerd: 4-8-2025
9. A foundation model to predict and capture human cognition

   Gepubliceerd: 4-8-2025
10. Generative Recommendation with Semantic IDs: A Practitioner’s Handbook

    Gepubliceerd: 4-8-2025
11. Hierarchical Reasoning Model

    Gepubliceerd: 4-8-2025
12. Test-time Offline Reinforcement Learning on Goal-related Experience

    Gepubliceerd: 4-8-2025
13. Interpreting Chain of Thought: A Walkthrough and Discussion

    Gepubliceerd: 4-8-2025
14. The wall confronting large language models

    Gepubliceerd: 4-8-2025
15. COLLABLLM: LLMs From Passive to Collaborative

    Gepubliceerd: 31-7-2025
16. A decade's battle on dataset bias: are we there yet?

    Gepubliceerd: 29-7-2025
17. GEPA: Generative Feedback for AI System Optimization

    Gepubliceerd: 29-7-2025
18. From AI-Curious to AI-First: Engineering Production AI Systems

    Gepubliceerd: 28-7-2025
19. Context Engineering: Beyond Simple Prompting to LLM Architecture

    Gepubliceerd: 28-7-2025
20. Agentic Misalignment: LLMs as Insider Threats

    Gepubliceerd: 28-7-2025