Best AI papers explained
Podcast autorstwa Enoch H. Kang
518 Odcinki
-  A Collectivist, Economic Perspective on AIOpublikowany: 14.07.2025
-  Textual Bayes: Quantifying Uncertainty in LLM-Based SystemsOpublikowany: 12.07.2025
-  The Winner's Curse in Data-Driven DecisionsOpublikowany: 11.07.2025
-  SPIRAL: Self-Play for Reasoning Through Zero-Sum GamesOpublikowany: 11.07.2025
-  Beyond Statistical Learning: Exact Learning Is Essential for General IntelligenceOpublikowany: 11.07.2025
-  Aligning Learning and Endogenous Decision-MakingOpublikowany: 11.07.2025
-  Reliable Statistical Inference with Synthetic Data from Large Language ModelsOpublikowany: 11.07.2025
-  Multi-Turn Reinforcement Learning from Human Preference FeedbackOpublikowany: 10.07.2025
-  Provably Learning from Language FeedbackOpublikowany: 9.07.2025
-  Markets with Heterogeneous Agents: Dynamics and Survival of Bayesian vs. No-Regret LearnersOpublikowany: 5.07.2025
-  Why Neural Network Can Discover Symbolic Structures with Gradient-based Training: An Algebraic and Geometric FoundationOpublikowany: 5.07.2025
-  Causal Abstraction with Lossy RepresentationsOpublikowany: 4.07.2025
-  The Winner's Curse in Data-Driven DecisionsOpublikowany: 4.07.2025
-  Embodied AI Agents: Modeling the WorldOpublikowany: 4.07.2025
-  Beyond Statistical Learning: Exact Learning Is Essential for General IntelligenceOpublikowany: 4.07.2025
-  What Has a Foundation Model Found? Inductive Bias Reveals World ModelsOpublikowany: 4.07.2025
-  Language Bottleneck Models: A Framework for Interpretable Knowledge Tracing and BeyondOpublikowany: 3.07.2025
-  Learning to Explore: An In-Context Learning Approach for Pure ExplorationOpublikowany: 3.07.2025
-  Human-AI Matching: The Limits of Algorithmic SearchOpublikowany: 25.06.2025
-  Uncertainty Quantification Needs Reassessment for Large-language Model AgentsOpublikowany: 25.06.2025
Cut through the noise. We curate and break down the most important AI papers so you don’t have to.
