Best AI papers explained

A podcast by Enoch H. Kang

521 Episodes

RL's Razor: Why Online RL Forgets Less
Published: 7/09/2025
Why Language Models Hallucinate
Published: 6/09/2025
ALFA: Aligning LLMs to Ask Good Questions A Case Study in Clinical Reasoning
Published: 6/09/2025
Sample Efficient Preference Alignment in LLMs via Active Exploration
Published: 6/09/2025
Adventures in Demand Analysis Using AI
Published: 4/09/2025
Memento: Fine-tuning LLM Agents without Fine-tuning LLMs
Published: 1/09/2025
On the Theoretical Limitations of Embedding-Based Retrieval
Published: 31/08/2025
Performance Prediction for Large Systems via Text-to-Text Regression
Published: 30/08/2025
Demystifying the Visual Quality Paradox in Multimodal Large Language Models
Published: 30/08/2025
Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL
Published: 30/08/2025
Compute-Optimal Scaling for Value-Based Deep RL
Published: 25/08/2025
LLM-based Conversational Recommendation Agents with Collaborative Verbalized Experience
Published: 23/08/2025
Signal and Noise: Evaluating Language Model Benchmarks
Published: 23/08/2025
Breaking Feedback Loops in Recommender Systems with Causal Inference
Published: 21/08/2025
RAG is Dead, Context Engineering is King: Building Reliable AI Systems
Published: 20/08/2025
A Survey of Personalization: From RAG to Agent
Published: 20/08/2025
Facilitating the Adoption of Causal Infer-ence Methods Through LLM-Empowered Co-Pilot
Published: 19/08/2025
Performance Prediction for Large Systems via Text-to-Text Regression
Published: 16/08/2025
Sample More to Think Less: Group Filtered Policy Optimization for Concise Reasoning
Published: 15/08/2025
DINOv3: Vision Models for Self-Supervised Learning
Published: 15/08/2025

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Cut through the noise. We curate and break down the most important AI papers so you don’t have to.

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521 Episodes

RL's Razor: Why Online RL Forgets Less

Why Language Models Hallucinate

ALFA: Aligning LLMs to Ask Good Questions A Case Study in Clinical Reasoning

Sample Efficient Preference Alignment in LLMs via Active Exploration

Adventures in Demand Analysis Using AI

Memento: Fine-tuning LLM Agents without Fine-tuning LLMs

On the Theoretical Limitations of Embedding-Based Retrieval

Performance Prediction for Large Systems via Text-to-Text Regression

Demystifying the Visual Quality Paradox in Multimodal Large Language Models

Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL

Compute-Optimal Scaling for Value-Based Deep RL

LLM-based Conversational Recommendation Agents with Collaborative Verbalized Experience

Signal and Noise: Evaluating Language Model Benchmarks

Breaking Feedback Loops in Recommender Systems with Causal Inference

RAG is Dead, Context Engineering is King: Building Reliable AI Systems

A Survey of Personalization: From RAG to Agent

Facilitating the Adoption of Causal Infer-ence Methods Through LLM-Empowered Co-Pilot

Performance Prediction for Large Systems via Text-to-Text Regression

Sample More to Think Less: Group Filtered Policy Optimization for Concise Reasoning

DINOv3: Vision Models for Self-Supervised Learning