Best AI papers explained
Un pódcast de Enoch H. Kang
508 Episodo
-
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 -
Performance Prediction for Large Systems via Text-to-Text Regression
Publicado: 30/8/2025 -
Demystifying the Visual Quality Paradox in Multimodal Large Language Models
Publicado: 30/8/2025 -
Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL
Publicado: 30/8/2025 -
Compute-Optimal Scaling for Value-Based Deep RL
Publicado: 25/8/2025 -
LLM-based Conversational Recommendation Agents with Collaborative Verbalized Experience
Publicado: 23/8/2025 -
Signal and Noise: Evaluating Language Model Benchmarks
Publicado: 23/8/2025
Cut through the noise. We curate and break down the most important AI papers so you don’t have to.
