Best AI papers explained

442 Episodo

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    Publicado: 13/3/2025