Best AI papers explained

499 Episodes

1. LLM Persona Bias: Promise and Peril in Simulation

   Published: 4/10/2025
2. AutoTools: Automating Tool Use for Large Language Models

   Published: 4/10/2025
3. Tool Learning with Large Language Models: A Comprehensive Survey

   Published: 4/10/2025
4. All Roads Lead to Likelihood: RL for Fine-Tuning Value

   Published: 4/8/2025
5. ATLAS: Tuning Agents via Critical Step Learning

   Published: 4/8/2025
6. Thinking Faster by Writing Less: Chain of Draft Reasoning

   Published: 4/8/2025
7. Meta Plan Optimization for Boosting LLM Agents

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

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

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

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

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

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

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

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

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

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

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

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

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

    Published: 4/4/2025