Best AI papers explained
Un pódcast de Enoch H. Kang
518 Episodo
-
A Collectivist, Economic Perspective on AI
Publicado: 14/7/2025 -
Textual Bayes: Quantifying Uncertainty in LLM-Based Systems
Publicado: 12/7/2025 -
The Winner's Curse in Data-Driven Decisions
Publicado: 11/7/2025 -
SPIRAL: Self-Play for Reasoning Through Zero-Sum Games
Publicado: 11/7/2025 -
Beyond Statistical Learning: Exact Learning Is Essential for General Intelligence
Publicado: 11/7/2025 -
Aligning Learning and Endogenous Decision-Making
Publicado: 11/7/2025 -
Reliable Statistical Inference with Synthetic Data from Large Language Models
Publicado: 11/7/2025 -
Multi-Turn Reinforcement Learning from Human Preference Feedback
Publicado: 10/7/2025 -
Provably Learning from Language Feedback
Publicado: 9/7/2025 -
Markets with Heterogeneous Agents: Dynamics and Survival of Bayesian vs. No-Regret Learners
Publicado: 5/7/2025 -
Why Neural Network Can Discover Symbolic Structures with Gradient-based Training: An Algebraic and Geometric Foundation
Publicado: 5/7/2025 -
Causal Abstraction with Lossy Representations
Publicado: 4/7/2025 -
The Winner's Curse in Data-Driven Decisions
Publicado: 4/7/2025 -
Embodied AI Agents: Modeling the World
Publicado: 4/7/2025 -
Beyond Statistical Learning: Exact Learning Is Essential for General Intelligence
Publicado: 4/7/2025 -
What Has a Foundation Model Found? Inductive Bias Reveals World Models
Publicado: 4/7/2025 -
Language Bottleneck Models: A Framework for Interpretable Knowledge Tracing and Beyond
Publicado: 3/7/2025 -
Learning to Explore: An In-Context Learning Approach for Pure Exploration
Publicado: 3/7/2025 -
Human-AI Matching: The Limits of Algorithmic Search
Publicado: 25/6/2025 -
Uncertainty Quantification Needs Reassessment for Large-language Model Agents
Publicado: 25/6/2025
Cut through the noise. We curate and break down the most important AI papers so you don’t have to.
