Best AI papers explained
A podcast by Enoch H. Kang
515 Episodio
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SPIRAL: Self-Play for Reasoning Through Zero-Sum Games
Pubblicato: 11/07/2025 -
Beyond Statistical Learning: Exact Learning Is Essential for General Intelligence
Pubblicato: 11/07/2025 -
Aligning Learning and Endogenous Decision-Making
Pubblicato: 11/07/2025 -
Reliable Statistical Inference with Synthetic Data from Large Language Models
Pubblicato: 11/07/2025 -
Multi-Turn Reinforcement Learning from Human Preference Feedback
Pubblicato: 10/07/2025 -
Provably Learning from Language Feedback
Pubblicato: 09/07/2025 -
Markets with Heterogeneous Agents: Dynamics and Survival of Bayesian vs. No-Regret Learners
Pubblicato: 05/07/2025 -
Why Neural Network Can Discover Symbolic Structures with Gradient-based Training: An Algebraic and Geometric Foundation
Pubblicato: 05/07/2025 -
Causal Abstraction with Lossy Representations
Pubblicato: 04/07/2025 -
The Winner's Curse in Data-Driven Decisions
Pubblicato: 04/07/2025 -
Embodied AI Agents: Modeling the World
Pubblicato: 04/07/2025 -
Beyond Statistical Learning: Exact Learning Is Essential for General Intelligence
Pubblicato: 04/07/2025 -
What Has a Foundation Model Found? Inductive Bias Reveals World Models
Pubblicato: 04/07/2025 -
Language Bottleneck Models: A Framework for Interpretable Knowledge Tracing and Beyond
Pubblicato: 03/07/2025 -
Learning to Explore: An In-Context Learning Approach for Pure Exploration
Pubblicato: 03/07/2025 -
Human-AI Matching: The Limits of Algorithmic Search
Pubblicato: 25/06/2025 -
Uncertainty Quantification Needs Reassessment for Large-language Model Agents
Pubblicato: 25/06/2025 -
Bayesian Meta-Reasoning for Robust LLM Generalization
Pubblicato: 25/06/2025 -
General Intelligence Requires Reward-based Pretraining
Pubblicato: 25/06/2025 -
Deep Learning is Not So Mysterious or Different
Pubblicato: 25/06/2025
Cut through the noise. We curate and break down the most important AI papers so you don’t have to.
