Best AI papers explained

En podcast av Enoch H. Kang

544 Avsnitt

The Path Not Taken: RLVR Provably Learns Off the Principals
Publicerades: 2025-11-23
Back to Basics: Let Denoising Generative Models Denoise
Publicerades: 2025-11-23
LLM Prompt Duel Optimizer: Efficient Label-Free Prompt Optimization
Publicerades: 2025-11-22
Black-Box On-Policy Distillation of Large Language Models
Publicerades: 2025-11-20
Solving a million step LLM task with zero errors
Publicerades: 2025-11-20
Not All Thoughts Matter: Selective Attention for Efficient Reasoning
Publicerades: 2025-11-19
Sample-Efficient Parametric Learning from Natural Language
Publicerades: 2025-11-19
Bayesian Optimization in Language space: An Eval-Efficient AI Self-Improvement Framework
Publicerades: 2025-11-18
Context Engineering: Sessions, Memory
Publicerades: 2025-11-16
The Era of Agentic Organization: Learning to Organize with Language Models
Publicerades: 2025-11-15
Understanding neural networks through sparse circuits
Publicerades: 2025-11-14
Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning
Publicerades: 2025-11-14
Multi-Agent Evolve: LLM Self-Improvement Through Co-Evolution
Publicerades: 2025-11-14
LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics
Publicerades: 2025-11-14
PREFDISCO: Evaluating Proactive Personalization through Interactive Preference Discovery
Publicerades: 2025-11-12
Reusing pre-training data at test time is a compute multiplier
Publicerades: 2025-11-10
Scaling Agent Learning via Experience Synthesis
Publicerades: 2025-11-09
Continuous Autoregressive Language Models
Publicerades: 2025-11-08
Toward a Theory of Agents as Tool-Use Decision-Makers
Publicerades: 2025-11-07
Nested Learning: The Illusion of Deep Learning Architectures
Publicerades: 2025-11-05

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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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544 Avsnitt

The Path Not Taken: RLVR Provably Learns Off the Principals

Back to Basics: Let Denoising Generative Models Denoise

LLM Prompt Duel Optimizer: Efficient Label-Free Prompt Optimization

Black-Box On-Policy Distillation of Large Language Models

Solving a million step LLM task with zero errors

Not All Thoughts Matter: Selective Attention for Efficient Reasoning

Sample-Efficient Parametric Learning from Natural Language

Bayesian Optimization in Language space: An Eval-Efficient AI Self-Improvement Framework

Context Engineering: Sessions, Memory

The Era of Agentic Organization: Learning to Organize with Language Models

Understanding neural networks through sparse circuits

Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning

Multi-Agent Evolve: LLM Self-Improvement Through Co-Evolution

LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics

PREFDISCO: Evaluating Proactive Personalization through Interactive Preference Discovery

Reusing pre-training data at test time is a compute multiplier

Scaling Agent Learning via Experience Synthesis

Continuous Autoregressive Language Models

Toward a Theory of Agents as Tool-Use Decision-Makers

Nested Learning: The Illusion of Deep Learning Architectures