Best AI papers explained
Un pódcast de Enoch H. Kang
506 Episodo
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From RL Distillation to Autonomous LLM Agents
Publicado: 29/5/2025 -
Prompting, Auto-Prompting, and Human-AI Communication
Publicado: 29/5/2025 -
Textual Gradients for LLM Optimization
Publicado: 29/5/2025 -
Large Language Models as Markov Chains
Publicado: 28/5/2025 -
Metastable Dynamics of Chain-of-Thought Reasoning: Provable Benefits of Search, RL and Distillation
Publicado: 28/5/2025 -
Selective induction heads: how transformers select causal structures in context
Publicado: 28/5/2025 -
The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains
Publicado: 28/5/2025 -
How Transformers Learn Causal Structure with Gradient Descent
Publicado: 28/5/2025 -
Planning anything with rigor: general-purpose zero-shot planning with llm-based formalized programming
Publicado: 28/5/2025 -
Automated Design of Agentic Systems
Publicado: 28/5/2025 -
What’s the Magic Word? A Control Theory of LLM Prompting
Publicado: 28/5/2025 -
BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling
Publicado: 27/5/2025 -
RL with KL penalties is better viewed as Bayesian inference
Publicado: 27/5/2025 -
Asymptotics of Language Model Alignment
Publicado: 27/5/2025 -
Qwen 2.5, RL, and Random Rewards
Publicado: 27/5/2025 -
Theoretical guarantees on the best-of-n alignment policy
Publicado: 27/5/2025 -
Score Matching Enables Causal Discovery of Nonlinear Additive Noise Models
Publicado: 27/5/2025 -
Improved Techniques for Training Score-Based Generative Models
Publicado: 27/5/2025 -
Your Pre-trained LLM is Secretly an Unsupervised Confidence Calibrator
Publicado: 27/5/2025 -
AlphaEvolve: A coding agent for scientific and algorithmic discovery
Publicado: 27/5/2025
Cut through the noise. We curate and break down the most important AI papers so you don’t have to.
