Best AI papers explained

Por: Enoch H. Kang

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

809 episodios disponibles

Latest episodes of the podcast Best AI papers explained

Mostrando página 3 de 41

Self-Distillation for Data-Scarce Language Model Pretraining 24/06/2026

Meta-Harness for Agent-State Construction 21/06/2026

ExpRL: Using Reference Solutions as Rewards for LLM Mid-Training 21/06/2026

Valid Inference with Synthetic Data via Task Exchangeability 18/06/2026

GRPO is Secretly a Process Reward Model 17/06/2026

Agentic Interactions 17/06/2026

A Unifying View of Attention Sinks: Two Algorithms, Two Solutions 16/06/2026

From AGI to ASI 14/06/2026

Correct Looks Better: Pairwise Comparisons Reveal Accuracy Rankings 13/06/2026

Critical Batch Size for LLM Policy Optimization 11/06/2026

Self-supervised User Profile Generation for Personalization 09/06/2026

From Augmentation to Reconstruction: Guiding the AI Disruption to the Good Place 07/06/2026

Self-Distilled Agentic Reinforcement Learning 07/06/2026

Subliminal Learning Is Steering Vector Distillation 05/06/2026

Subsidizing Sequential Search 05/06/2026

Meta-Harness: End-to-End Optimization of Model Harnesses 02/06/2026

Self-Improving Language Models with Bidirectional Evolutionary Search 01/06/2026

Generative Modeling via Drifting 31/05/2026

Instance-Optimal Estimation with Multiple LLM Judges on a Budget 31/05/2026

Robust AI Personalization Will Require a Human Context Protocol 29/05/2026

« Primera Previous 1 2 3 4 5 ... 41 Next Última »

Latest episodes