Best AI papers explained

Een podcast door Enoch H. Kang - Donderdagen

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  1. PLAN-AND-ACT: LLM Agent Planning with Synthetic Data

    Gepubliceerd: 8-4-2025
  2. SEARCH-R1: LLMs Learn to Reason and Search via Reinforcement Learning

    Gepubliceerd: 8-4-2025
  3. The Theory of the Firm: Information, Incentives, and Organization

    Gepubliceerd: 8-4-2025
  4. Four Formalizable Theories of the Firm

    Gepubliceerd: 8-4-2025
  5. Efficient Tool Use with Chain-of-Abstraction Reasoning

    Gepubliceerd: 6-4-2025
  6. CodeTool: Process Supervision for Enhanced LLM Tool Invocation

    Gepubliceerd: 6-4-2025
  7. Evaluating LLM Agents in Multi-Turn Conversations: A Survey

    Gepubliceerd: 6-4-2025
  8. Epistemic Alignment in User-LLM Knowledge Delivery

    Gepubliceerd: 6-4-2025
  9. MCP is (not) all you need

    Gepubliceerd: 6-4-2025
  10. AI, Human Skills, and Competitive Advantage in Chess

    Gepubliceerd: 5-4-2025
  11. Inference-Time Scaling for Generalist Reward Modeling

    Gepubliceerd: 4-4-2025
  12. Optimal Pure Exploration in Linear Bandits via Sampling

    Gepubliceerd: 4-4-2025
  13. Presidential Address: The Economist as Designer in the Innovation Process for Socially Impactful Digital Products

    Gepubliceerd: 4-4-2025
  14. Emergent Symbolic Mechanisms for Reasoning in Large Language Models

    Gepubliceerd: 3-4-2025
  15. Inference-Time Alignment: Coverage, Scaling, and Optimality

    Gepubliceerd: 3-4-2025
  16. Sharpe Ratio-Guided Active Learning for Preference Optimization

    Gepubliceerd: 3-4-2025
  17. Active Learning for Adaptive In-Context Prompt Design

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

    Gepubliceerd: 3-4-2025
  19. On the Biology of a Large Language Model

    Gepubliceerd: 1-4-2025
  20. Async-TB: Asynchronous Trajectory Balance for Scalable LLM RL

    Gepubliceerd: 1-4-2025

8 / 10

Men know other men best. Women know other women best. And yes, perhaps AIs know other AIs best. AI explains what you should know about this week's AI research progress.

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