442 Episodes

  1. MemReasoner: Generalizing Language Models on Reasoning-in-a-Haystack Tasks

    Published: 3/27/2025
  2. RAFT: In-Domain Retrieval-Augmented Fine-Tuning for Language Models

    Published: 3/27/2025
  3. Inductive Biases for Exchangeable Sequence Modeling

    Published: 3/26/2025
  4. InverseRLignment: LLM Alignment via Inverse Reinforcement Learning

    Published: 3/26/2025
  5. Prompt-OIRL: Offline Inverse RL for Query-Dependent Prompting

    Published: 3/26/2025
  6. Alignment from Demonstrations for Large Language Models

    Published: 3/25/2025
  7. Q♯: Distributional RL for Optimal LLM Post-Training

    Published: 3/18/2025
  8. Scaling Test-Time Compute Without Verification or RL is Suboptimal

    Published: 3/14/2025
  9. Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

    Published: 3/14/2025
  10. Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

    Published: 3/14/2025
  11. Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback

    Published: 3/14/2025
  12. Revisiting Superficial Alignment Hypothesis

    Published: 3/14/2025
  13. Diagnostic uncertainty: teaching language Models to describe open-ended uncertainty

    Published: 3/14/2025
  14. Language Model Personalization via Reward Factorization

    Published: 3/14/2025
  15. Is a Good Foundation Necessary for Efficient Reinforcement Learning? The Computational Role of the Base Model in Exploration

    Published: 3/14/2025
  16. How Well do LLMs Compress Their Own Chain-of-Thought? A Token Complexity Approach

    Published: 3/14/2025
  17. Can Large Language Models Extract Customer Needs as well as Professional Analysts?

    Published: 3/13/2025
  18. Spurlens: finding spurious correlations in Multimodal llms

    Published: 3/13/2025
  19. Improving test-time search with backtrack- Ing Improving test-time search with backtrack- Ing against in-context value verifiersagainst in-context value verifiers

    Published: 3/13/2025
  20. Adaptive elicitation of latent information Using natural language

    Published: 3/13/2025

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