Best AI papers explained
Een podcast door Enoch H. Kang
550 Afleveringen
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Self-Boost via Optimal Retraining: An Analysis via Approximate Message Passing
Gepubliceerd: 27-11-2025 -
Prompted Policy Search: Reinforcement Learning through Linguistic and Numerical Reasoning in LLMs
Gepubliceerd: 27-11-2025 -
Ilya Sutskever – We're moving from the age of scaling to the age of research
Gepubliceerd: 26-11-2025 -
Cognitive Foundations for Reasoning and Their Manifestation in LLMs
Gepubliceerd: 26-11-2025 -
Natural emergent misalignment from reward hacking in production RL
Gepubliceerd: 25-11-2025 -
Evolution Strategies at the Hyperscale
Gepubliceerd: 25-11-2025 -
The Path Not Taken: RLVR Provably Learns Off the Principals
Gepubliceerd: 23-11-2025 -
Back to Basics: Let Denoising Generative Models Denoise
Gepubliceerd: 23-11-2025 -
LLM Prompt Duel Optimizer: Efficient Label-Free Prompt Optimization
Gepubliceerd: 22-11-2025 -
Black-Box On-Policy Distillation of Large Language Models
Gepubliceerd: 20-11-2025 -
Solving a million step LLM task with zero errors
Gepubliceerd: 20-11-2025 -
Not All Thoughts Matter: Selective Attention for Efficient Reasoning
Gepubliceerd: 19-11-2025 -
Sample-Efficient Parametric Learning from Natural Language
Gepubliceerd: 19-11-2025 -
Bayesian Optimization in Language space: An Eval-Efficient AI Self-Improvement Framework
Gepubliceerd: 18-11-2025 -
Context Engineering: Sessions, Memory
Gepubliceerd: 16-11-2025 -
The Era of Agentic Organization: Learning to Organize with Language Models
Gepubliceerd: 15-11-2025 -
Understanding neural networks through sparse circuits
Gepubliceerd: 14-11-2025 -
Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning
Gepubliceerd: 14-11-2025 -
Multi-Agent Evolve: LLM Self-Improvement Through Co-Evolution
Gepubliceerd: 14-11-2025 -
LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics
Gepubliceerd: 14-11-2025
Cut through the noise. We curate and break down the most important AI papers so you don’t have to.
