Best AI papers explained

160 Episodes

1. Adaptive Language Elicitation for Latent Information Discovery

   Published: 4/10/2025
2. LLM Persona Bias: Promise and Peril in Simulation

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    Published: 4/5/2025