Best AI papers explained

153 Episodes

1. Meta Plan Optimization for Boosting LLM Agents

   Published: 4/8/2025
2. L1: Length Controlled Reasoning with Reinforcement Learning

   Published: 4/8/2025
3. WikiBigEdit: Benchmarking Lifelong Knowledge Editing in LLMs

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    Published: 4/3/2025