Best AI papers explained

440 Avsnitt

1. Human-AI Matching: The Limits of Algorithmic Search

   Publicerades: 2025-06-25
2. Uncertainty Quantification Needs Reassessment for Large-language Model Agents

   Publicerades: 2025-06-25
3. Bayesian Meta-Reasoning for Robust LLM Generalization

   Publicerades: 2025-06-25
4. General Intelligence Requires Reward-based Pretraining

   Publicerades: 2025-06-25
5. Deep Learning is Not So Mysterious or Different

   Publicerades: 2025-06-25
6. AI Agents Need Authenticated Delegation

   Publicerades: 2025-06-25
7. Probabilistic Modelling is Sufficient for Causal Inference

   Publicerades: 2025-06-25
8. Not All Explanations for Deep Learning Phenomena Are Equally Valuable

   Publicerades: 2025-06-25
9. e3: Learning to Explore Enables Extrapolation of Test-Time Compute for LLMs

   Publicerades: 2025-06-17
10. Extrapolation by Association: Length Generalization Transfer in Transformers

    Publicerades: 2025-06-17
11. Uncovering Causal Hierarchies in Language Model Capabilities

    Publicerades: 2025-06-17
12. Generalization or Hallucination? Understanding Out-of-Context Reasoning in Transformers

    Publicerades: 2025-06-17
13. Improving Treatment Effect Estimation with LLM-Based Data Augmentation

    Publicerades: 2025-06-17
14. LLM Numerical Prediction Without Auto-Regression

    Publicerades: 2025-06-17
15. Self-Adapting Language Models

    Publicerades: 2025-06-17
16. Why in-context learning models are good few-shot learners?

    Publicerades: 2025-06-17
17. Take Caution in Using LLMs as Human Surrogates: Scylla Ex Machina∗

    Publicerades: 2025-06-14
18. The Logic of Machines: The AI Reasoning Debate

    Publicerades: 2025-06-12
19. Layer by Layer: Uncovering Hidden Representations in Language Models

    Publicerades: 2025-06-12
20. Causal Attribution Analysis for Continuous Outcomes

    Publicerades: 2025-06-12