Best AI papers explained

456 Episodes

1. Inference-Time Alignment: Coverage, Scaling, and Optimality

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    Published: 3/25/2025