Best AI papers explained

442 Episodes

1. Accelerating RL for LLM Reasoning with Optimal Advantage Regression

   Published: 5/31/2025
2. Statistical Inference for Online Algorithms

   Published: 5/31/2025
3. Prismatic Synthesis for Diverse LLM Reasoning Data

   Published: 5/31/2025
4. Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents

   Published: 5/31/2025
5. The Agentic Economy

   Published: 5/30/2025
6. Statistics for Large Language Models

   Published: 5/29/2025
7. Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search

   Published: 5/29/2025
8. Beyond Markovian: Reflective Exploration via Bayes-Adaptive RL for LLM Reasoning

   Published: 5/29/2025
9. Planning without Search: Refining Frontier LLMs with Offline Goal-Conditioned RL

   Published: 5/29/2025
10. Value-Guided Search for Efficient Chain-of-Thought Reasoning

    Published: 5/29/2025
11. Shallow Preference Signals: Large Language model aligns even better without truncated data?

    Published: 5/29/2025
12. Gaming Tool Preferences in Agentic LLMs

    Published: 5/29/2025
13. Partner Modelling Emerges in Recurrent Agents (But Only When It Matters)

    Published: 5/29/2025
14. LLM Populations Form Social Conventions and Collective Bias

    Published: 5/29/2025
15. LLM Generated Persona is a Promise with a Catch

    Published: 5/29/2025
16. Large Language Models for Digital Twin Simulation

    Published: 5/29/2025
17. From RL Distillation to Autonomous LLM Agents

    Published: 5/29/2025
18. Prompting, Auto-Prompting, and Human-AI Communication

    Published: 5/29/2025
19. Textual Gradients for LLM Optimization

    Published: 5/29/2025
20. Large Language Models as Markov Chains

    Published: 5/28/2025