Best AI papers explained

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1. Layer by Layer: Uncovering Hidden Representations in Language Models

   Gepubliceerd: 12-6-2025
2. Causal Attribution Analysis for Continuous Outcomes

   Gepubliceerd: 12-6-2025
3. Training a Generally Curious Agent

   Gepubliceerd: 12-6-2025
4. Estimation of Treatment Effects Under Nonstationarity via Truncated Difference-in-Q’s

   Gepubliceerd: 12-6-2025
5. Strategy Coopetition Explains the Emergence and Transience of In-Context Learning

   Gepubliceerd: 12-6-2025
6. Emergent Misalignment: Narrow finetuning can produce broadly misaligned LLMs

   Gepubliceerd: 11-6-2025
7. Agentic Supernet for Multi-agent Architecture Search

   Gepubliceerd: 11-6-2025
8. Sample Complexity and Representation Ability of Test-time Scaling Paradigms

   Gepubliceerd: 11-6-2025
9. Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators

   Gepubliceerd: 10-6-2025
10. LLMs Get Lost In Multi-Turn Conversation

    Gepubliceerd: 9-6-2025
11. PromptPex: Automatic Test Generation for Prompts

    Gepubliceerd: 8-6-2025
12. General Agents Need World Models

    Gepubliceerd: 8-6-2025
13. The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models

    Gepubliceerd: 7-6-2025
14. Decisions With Algorithms

    Gepubliceerd: 7-6-2025
15. Adapting, fast and slow: Causal Approach to Few-Shot Sequence Learning

    Gepubliceerd: 6-6-2025
16. Conformal Arbitrage for LLM Objective Balancing

    Gepubliceerd: 6-6-2025
17. Simulation-Based Inference for Adaptive Experiments

    Gepubliceerd: 6-6-2025
18. Agents as Tool-Use Decision-Makers

    Gepubliceerd: 6-6-2025
19. Quantitative Judges for Large Language Models

    Gepubliceerd: 6-6-2025
20. Self-Challenging Language Model Agents

    Gepubliceerd: 6-6-2025