Best AI papers explained

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1. Reexamining the Aleatoric and Epistemic Uncertainty Dichotomy

   Gepubliceerd: 8-5-2025
2. Decoding Claude Code: Terminal Agent for Developers

   Gepubliceerd: 7-5-2025
3. Emergent Strategic AI Equilibrium from Pre-trained Reasoning

   Gepubliceerd: 7-5-2025
4. Benefiting from Proprietary Data with Siloed Training

   Gepubliceerd: 6-5-2025
5. Advantage Alignment Algorithms

   Gepubliceerd: 6-5-2025
6. Asymptotic Safety Guarantees Based On Scalable Oversight

   Gepubliceerd: 6-5-2025
7. What Makes a Reward Model a Good Teacher? An Optimization Perspective

   Gepubliceerd: 6-5-2025
8. Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems

   Gepubliceerd: 6-5-2025
9. Identifiable Steering via Sparse Autoencoding of Multi-Concept Shifts

   Gepubliceerd: 6-5-2025
10. You Are What You Eat - AI Alignment Requires Understanding How Data Shapes Structure and Generalisation

    Gepubliceerd: 6-5-2025
11. Interplay of LLMs in Information Retrieval Evaluation

    Gepubliceerd: 3-5-2025
12. Trade-Offs Between Tasks Induced by Capacity Constraints Bound the Scope of Intelligence

    Gepubliceerd: 3-5-2025
13. Toward Efficient Exploration by Large Language Model Agents

    Gepubliceerd: 3-5-2025
14. Getting More Juice Out of the SFT Data: Reward Learning from Human Demonstration Improves SFT

    Gepubliceerd: 2-5-2025
15. Self-Consuming Generative Models with Curated Data

    Gepubliceerd: 2-5-2025
16. Bootstrapping Language Models with DPO Implicit Rewards

    Gepubliceerd: 2-5-2025
17. DeepSeek-Prover-V2: Advancing Formal Reasoning

    Gepubliceerd: 1-5-2025
18. THINKPRM: Data-Efficient Process Reward Models

    Gepubliceerd: 1-5-2025
19. Societal Frameworks and LLM Alignment

    Gepubliceerd: 29-4-2025
20. Risks from Multi-Agent Advanced AI

    Gepubliceerd: 29-4-2025