Best AI papers explained

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1. Open Problems in Mechanistic Interpretability

   Gepubliceerd: 21-9-2025
2. Maestro: Joint Graph & Config Optimization for Reliable AI Agents

   Gepubliceerd: 21-9-2025
3. Thought Anchors: Which LLM Reasoning Steps Matter?

   Gepubliceerd: 21-9-2025
4. Sample Complexity and Representation Ability of Test-time Scaling Paradigms

   Gepubliceerd: 9-9-2025
5. RL's Razor: Why Online RL Forgets Less

   Gepubliceerd: 7-9-2025
6. Why Language Models Hallucinate

   Gepubliceerd: 6-9-2025
7. ALFA: Aligning LLMs to Ask Good Questions A Case Study in Clinical Reasoning

   Gepubliceerd: 6-9-2025
8. Sample Efficient Preference Alignment in LLMs via Active Exploration

   Gepubliceerd: 6-9-2025
9. Adventures in Demand Analysis Using AI

   Gepubliceerd: 4-9-2025
10. Memento: Fine-tuning LLM Agents without Fine-tuning LLMs

    Gepubliceerd: 1-9-2025
11. On the Theoretical Limitations of Embedding-Based Retrieval

    Gepubliceerd: 31-8-2025
12. Performance Prediction for Large Systems via Text-to-Text Regression

    Gepubliceerd: 30-8-2025
13. Demystifying the Visual Quality Paradox in Multimodal Large Language Models

    Gepubliceerd: 30-8-2025
14. Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL

    Gepubliceerd: 30-8-2025
15. Compute-Optimal Scaling for Value-Based Deep RL

    Gepubliceerd: 25-8-2025
16. LLM-based Conversational Recommendation Agents with Collaborative Verbalized Experience

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

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

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

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

    Gepubliceerd: 20-8-2025