471 Avsnitt

  1. An empirical risk minimization approach for offline inverse RL and Dynamic Discrete Choice models

    Publicerades: 2025-07-22
  2. Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities

    Publicerades: 2025-07-22
  3. The Invisible Leash: Why RLVR May Not Escape Its Origin

    Publicerades: 2025-07-20
  4. Language Model Personalization via Reward Factorization

    Publicerades: 2025-07-20
  5. Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked Diffusions

    Publicerades: 2025-07-18
  6. Do We Need to Verify Step by Step? Rethinking Process Supervision from a Theoretical Perspective

    Publicerades: 2025-07-17
  7. Soft Best-of-n Sampling for Model Alignment

    Publicerades: 2025-07-16
  8. On Temporal Credit Assignment and Data-Efficient Reinforcement Learning

    Publicerades: 2025-07-15
  9. Bradley–Terry and Multi-Objective Reward Modeling Are Complementary

    Publicerades: 2025-07-15
  10. Probing Foundation Models for World Models

    Publicerades: 2025-07-15
  11. GenAI-Powered Statistical Inference (with Unstructured Data)

    Publicerades: 2025-07-14
  12. Interpretable Reward Modeling with Active Concept Bottlenecks

    Publicerades: 2025-07-14
  13. PrefillOnly: An Inference Engine for Prefill-only Workloads in Large Language Model Applications

    Publicerades: 2025-07-14
  14. A Collectivist, Economic Perspective on AI

    Publicerades: 2025-07-14
  15. Textual Bayes: Quantifying Uncertainty in LLM-Based Systems

    Publicerades: 2025-07-12
  16. The Winner's Curse in Data-Driven Decisions

    Publicerades: 2025-07-11
  17. SPIRAL: Self-Play for Reasoning Through Zero-Sum Games

    Publicerades: 2025-07-11
  18. Beyond Statistical Learning: Exact Learning Is Essential for General Intelligence

    Publicerades: 2025-07-11
  19. Aligning Learning and Endogenous Decision-Making

    Publicerades: 2025-07-11
  20. Reliable Statistical Inference with Synthetic Data from Large Language Models

    Publicerades: 2025-07-11

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