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