523 Odcinki

  1. Large Language Models as Markov Chains

    Opublikowany: 28.05.2025
  2. Metastable Dynamics of Chain-of-Thought Reasoning: Provable Benefits of Search, RL and Distillation

    Opublikowany: 28.05.2025
  3. Selective induction heads: how transformers select causal structures in context

    Opublikowany: 28.05.2025
  4. The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains

    Opublikowany: 28.05.2025
  5. How Transformers Learn Causal Structure with Gradient Descent

    Opublikowany: 28.05.2025
  6. Planning anything with rigor: general-purpose zero-shot planning with llm-based formalized programming

    Opublikowany: 28.05.2025
  7. Automated Design of Agentic Systems

    Opublikowany: 28.05.2025
  8. What’s the Magic Word? A Control Theory of LLM Prompting

    Opublikowany: 28.05.2025
  9. BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling

    Opublikowany: 27.05.2025
  10. RL with KL penalties is better viewed as Bayesian inference

    Opublikowany: 27.05.2025
  11. Asymptotics of Language Model Alignment

    Opublikowany: 27.05.2025
  12. Qwen 2.5, RL, and Random Rewards

    Opublikowany: 27.05.2025
  13. Theoretical guarantees on the best-of-n alignment policy

    Opublikowany: 27.05.2025
  14. Score Matching Enables Causal Discovery of Nonlinear Additive Noise Models

    Opublikowany: 27.05.2025
  15. Improved Techniques for Training Score-Based Generative Models

    Opublikowany: 27.05.2025
  16. Your Pre-trained LLM is Secretly an Unsupervised Confidence Calibrator

    Opublikowany: 27.05.2025
  17. AlphaEvolve: A coding agent for scientific and algorithmic discovery

    Opublikowany: 27.05.2025
  18. Harnessing the Universal Geometry of Embeddings

    Opublikowany: 27.05.2025
  19. Goal Inference using Reward-Producing Programs in a Novel Physics Environment

    Opublikowany: 27.05.2025
  20. Trial-Error-Explain In-Context Learning for Personalized Text Generation

    Opublikowany: 27.05.2025

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