Best AI papers explained

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1. LLM-based Conversational Recommendation Agents with Collaborative Verbalized Experience

   Gepubliceerd: 23-8-2025
2. Signal and Noise: Evaluating Language Model Benchmarks

   Gepubliceerd: 23-8-2025
3. Breaking Feedback Loops in Recommender Systems with Causal Inference

   Gepubliceerd: 21-8-2025
4. RAG is Dead, Context Engineering is King: Building Reliable AI Systems

   Gepubliceerd: 20-8-2025
5. A Survey of Personalization: From RAG to Agent

   Gepubliceerd: 20-8-2025
6. Facilitating the Adoption of Causal Infer-ence Methods Through LLM-Empowered Co-Pilot

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    Gepubliceerd: 4-8-2025