Best AI papers explained

442 Episodo

1. MCP is (not) all you need

   Publicado: 6/4/2025
2. AI, Human Skills, and Competitive Advantage in Chess

   Publicado: 5/4/2025
3. Inference-Time Scaling for Generalist Reward Modeling

   Publicado: 4/4/2025
4. Optimal Pure Exploration in Linear Bandits via Sampling

   Publicado: 4/4/2025
5. Presidential Address: The Economist as Designer in the Innovation Process for Socially Impactful Digital Products

   Publicado: 4/4/2025
6. Emergent Symbolic Mechanisms for Reasoning in Large Language Models

   Publicado: 3/4/2025
7. Inference-Time Alignment: Coverage, Scaling, and Optimality

   Publicado: 3/4/2025
8. Sharpe Ratio-Guided Active Learning for Preference Optimization

   Publicado: 3/4/2025
9. Active Learning for Adaptive In-Context Prompt Design

   Publicado: 3/4/2025
10. Visual Chain-of-Thought Reasoning for Vision-Language-Action Models

    Publicado: 3/4/2025
11. On the Biology of a Large Language Model

    Publicado: 1/4/2025
12. Async-TB: Asynchronous Trajectory Balance for Scalable LLM RL

    Publicado: 1/4/2025
13. Instacart's Economics Team: A Hybrid Role in Tech

    Publicado: 31/3/2025
14. Data Mixture Optimization: A Multi-fidelity Multi-scale Bayesian Framework

    Publicado: 31/3/2025
15. Why MCP won

    Publicado: 31/3/2025
16. SWEET-RL: Training LLM Agents for Collaborative Reasoning

    Publicado: 31/3/2025
17. TheoryCoder: Bilevel Planning with Synthesized World Models

    Publicado: 30/3/2025
18. Driving Forces in AI: Scaling to 2025 and Beyond (Jason Wei, OpenAI)

    Publicado: 29/3/2025
19. Expert Demonstrations for Sequential Decision Making under Heterogeneity

    Publicado: 28/3/2025
20. TextGrad: Backpropagating Language Model Feedback for Generative AI Optimization

    Publicado: 27/3/2025