Best AI papers explained
A podcast by Enoch H. Kang
454 Episodes
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Actor-Critic without Actor: Critic-Guided Denoising for RL
Published: 9/29/2025 -
DELTA-Code: How Does RL Unlock and Transfer New Programming Algorithms in LLMs?
Published: 9/29/2025 -
Linear Transformers Implicitly Discover Unified Numerical Algorithms
Published: 9/29/2025 -
Regularizing Extrapolation in Causal Inference
Published: 9/27/2025 -
DoubleGen - Debiased Generative Modeling of Counterfactuals
Published: 9/27/2025 -
What Characterizes Effective Reasoning? Revisiting Length, Review, and Structure of CoT
Published: 9/27/2025 -
Compute as Teacher: Turning Inference Compute Into Reference-Free Supervision
Published: 9/27/2025 -
Learning without training: The implicit dynamics of in-context learning
Published: 9/24/2025 -
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model
Published: 9/24/2025 -
Open Problems in Mechanistic Interpretability
Published: 9/21/2025 -
Maestro: Joint Graph & Config Optimization for Reliable AI Agents
Published: 9/21/2025 -
Thought Anchors: Which LLM Reasoning Steps Matter?
Published: 9/21/2025 -
Sample Complexity and Representation Ability of Test-time Scaling Paradigms
Published: 9/9/2025 -
RL's Razor: Why Online RL Forgets Less
Published: 9/7/2025 -
Why Language Models Hallucinate
Published: 9/6/2025 -
ALFA: Aligning LLMs to Ask Good Questions A Case Study in Clinical Reasoning
Published: 9/6/2025 -
Sample Efficient Preference Alignment in LLMs via Active Exploration
Published: 9/6/2025 -
Adventures in Demand Analysis Using AI
Published: 9/4/2025 -
Memento: Fine-tuning LLM Agents without Fine-tuning LLMs
Published: 9/1/2025 -
On the Theoretical Limitations of Embedding-Based Retrieval
Published: 8/31/2025
Cut through the noise. We curate and break down the most important AI papers so you don’t have to.