Best AI papers explained

499 Episodes

1. Optimal Pure Exploration in Linear Bandits via Sampling

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

   Published: 4/4/2025
3. Emergent Symbolic Mechanisms for Reasoning in Large Language Models

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

   Published: 4/3/2025
5. Sharpe Ratio-Guided Active Learning for Preference Optimization

   Published: 4/3/2025
6. Active Learning for Adaptive In-Context Prompt Design

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

   Published: 4/3/2025
8. On the Biology of a Large Language Model

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

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

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

    Published: 3/31/2025
12. Why MCP won

    Published: 3/31/2025
13. SWEET-RL: Training LLM Agents for Collaborative Reasoning

    Published: 3/31/2025
14. TheoryCoder: Bilevel Planning with Synthesized World Models

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

    Published: 3/29/2025
16. Expert Demonstrations for Sequential Decision Making under Heterogeneity

    Published: 3/28/2025
17. TextGrad: Backpropagating Language Model Feedback for Generative AI Optimization

    Published: 3/27/2025
18. MemReasoner: Generalizing Language Models on Reasoning-in-a-Haystack Tasks

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

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

    Published: 3/26/2025