Best AI papers explained

431 Episodes

1. WikiBigEdit: Benchmarking Lifelong Knowledge Editing in LLMs

   Published: 4/8/2025
2. PLAN-AND-ACT: LLM Agent Planning with Synthetic Data

   Published: 4/8/2025
3. SEARCH-R1: LLMs Learn to Reason and Search via Reinforcement Learning

   Published: 4/8/2025
4. The Theory of the Firm: Information, Incentives, and Organization

   Published: 4/8/2025
5. Four Formalizable Theories of the Firm

   Published: 4/8/2025
6. Efficient Tool Use with Chain-of-Abstraction Reasoning

   Published: 4/6/2025
7. CodeTool: Process Supervision for Enhanced LLM Tool Invocation

   Published: 4/6/2025
8. Evaluating LLM Agents in Multi-Turn Conversations: A Survey

   Published: 4/6/2025
9. Epistemic Alignment in User-LLM Knowledge Delivery

   Published: 4/6/2025
10. MCP is (not) all you need

    Published: 4/6/2025
11. AI, Human Skills, and Competitive Advantage in Chess

    Published: 4/5/2025
12. Inference-Time Scaling for Generalist Reward Modeling

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

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

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

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

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

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

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

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

    Published: 4/1/2025