Best AI papers explained

550 Episodes

1. Preference Learning with Response Time

   Published: 6/2/2025
2. Accelerating RL for LLM Reasoning with Optimal Advantage Regression

   Published: 5/31/2025
3. Algorithms for reliable decision-making need causal reasoning

   Published: 5/31/2025
4. Belief Attribution as Mental Explanation: The Role of Accuracy, Informativity, and Causality

   Published: 5/31/2025
5. Distances for Markov chains from sample streams

   Published: 5/31/2025
6. When and Why LLMs Fail to Reason Globally

   Published: 5/31/2025
7. IDA-Bench: Evaluating LLMs on Interactive Guided Data Analysis

   Published: 5/31/2025
8. No Free Lunch: Non-Asymptotic Analysis of Prediction-Powered Inference

   Published: 5/31/2025
9. Accelerating RL for LLM Reasoning with Optimal Advantage Regression

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

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

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

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

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

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

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

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

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

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

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

    Published: 5/29/2025