Best AI papers explained

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1. Facilitating the Adoption of Causal Infer-ence Methods Through LLM-Empowered Co-Pilot

   Gepubliceerd: 19-8-2025
2. Performance Prediction for Large Systems via Text-to-Text Regression

   Gepubliceerd: 16-8-2025
3. Sample More to Think Less: Group Filtered Policy Optimization for Concise Reasoning

   Gepubliceerd: 15-8-2025
4. DINOv3: Vision Models for Self-Supervised Learning

   Gepubliceerd: 15-8-2025
5. Agent Lightning: Training Any AI Agents with Reinforcement Learning

   Gepubliceerd: 14-8-2025
6. Computational-Statistical Tradeoffs at the Next-Token Prediction Barrier

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    Gepubliceerd: 31-7-2025