Best AI papers explained

440 Episodo

1. The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains

   Publicado: 28/5/2025
2. How Transformers Learn Causal Structure with Gradient Descent

   Publicado: 28/5/2025
3. Planning anything with rigor: general-purpose zero-shot planning with llm-based formalized programming

   Publicado: 28/5/2025
4. Automated Design of Agentic Systems

   Publicado: 28/5/2025
5. What’s the Magic Word? A Control Theory of LLM Prompting

   Publicado: 28/5/2025
6. BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling

   Publicado: 27/5/2025
7. RL with KL penalties is better viewed as Bayesian inference

   Publicado: 27/5/2025
8. Asymptotics of Language Model Alignment

   Publicado: 27/5/2025
9. Qwen 2.5, RL, and Random Rewards

   Publicado: 27/5/2025
10. Theoretical guarantees on the best-of-n alignment policy

    Publicado: 27/5/2025
11. Score Matching Enables Causal Discovery of Nonlinear Additive Noise Models

    Publicado: 27/5/2025
12. Improved Techniques for Training Score-Based Generative Models

    Publicado: 27/5/2025
13. Your Pre-trained LLM is Secretly an Unsupervised Confidence Calibrator

    Publicado: 27/5/2025
14. AlphaEvolve: A coding agent for scientific and algorithmic discovery

    Publicado: 27/5/2025
15. Harnessing the Universal Geometry of Embeddings

    Publicado: 27/5/2025
16. Goal Inference using Reward-Producing Programs in a Novel Physics Environment

    Publicado: 27/5/2025
17. Trial-Error-Explain In-Context Learning for Personalized Text Generation

    Publicado: 27/5/2025
18. Reinforcement Learning for Reasoning in Large Language Models with One Training Example

    Publicado: 27/5/2025
19. Test-Time Reinforcement Learning (TTRL)

    Publicado: 27/5/2025
20. Interpreting Emergent Planning in Model-Free Reinforcement Learning

    Publicado: 26/5/2025