525 Odcinki

  1. From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models

    Opublikowany: 23.05.2025
  2. LLM In-Context Learning as Kernel Regression

    Opublikowany: 23.05.2025
  3. Where does In-context Learning Happen in Large Language Models?

    Opublikowany: 23.05.2025
  4. Auto-Differentiating Any LLM Workflow: A Farewell to Manual Prompting

    Opublikowany: 22.05.2025
  5. metaTextGrad: Learning to learn with language models as optimizers

    Opublikowany: 22.05.2025
  6. Semantic Operators: A Declarative Model for Rich, AI-based Data Processing

    Opublikowany: 22.05.2025
  7. Isolated Causal Effects of Language

    Opublikowany: 22.05.2025
  8. Sleep-time Compute: Beyond Inference Scaling at Test-time

    Opublikowany: 22.05.2025
  9. J1: Incentivizing Thinking in LLM-as-a-Judge

    Opublikowany: 22.05.2025
  10. ShiQ: Bringing back Bellman to LLMs

    Opublikowany: 22.05.2025
  11. Policy Learning with a Natural Language Action Space: A Causal Approach

    Opublikowany: 22.05.2025
  12. Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models

    Opublikowany: 22.05.2025
  13. End-to-End Learning for Stochastic Optimization: A Bayesian Perspective

    Opublikowany: 21.05.2025
  14. TEXTGRAD: Automatic Differentiation via Text

    Opublikowany: 21.05.2025
  15. Steering off Course: Reliability Challenges in Steering Language Models

    Opublikowany: 20.05.2025
  16. Past-Token Prediction for Long-Context Robot Policies

    Opublikowany: 20.05.2025
  17. Recovering Coherent Event Probabilities from LLM Embeddings

    Opublikowany: 20.05.2025
  18. Systematic Meta-Abilities Alignment in Large Reasoning Models

    Opublikowany: 20.05.2025
  19. Predictability Shapes Adaptation: An Evolutionary Perspective on Modes of Learning in Transformers

    Opublikowany: 20.05.2025
  20. Efficient Exploration for LLMs

    Opublikowany: 19.05.2025

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