Best AI papers explained
Un pódcast de Enoch H. Kang
518 Episodo
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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 -
Harnessing the Universal Geometry of Embeddings
Publicado: 27/5/2025 -
Goal Inference using Reward-Producing Programs in a Novel Physics Environment
Publicado: 27/5/2025 -
Trial-Error-Explain In-Context Learning for Personalized Text Generation
Publicado: 27/5/2025 -
Reinforcement Learning for Reasoning in Large Language Models with One Training Example
Publicado: 27/5/2025 -
Test-Time Reinforcement Learning (TTRL)
Publicado: 27/5/2025 -
Interpreting Emergent Planning in Model-Free Reinforcement Learning
Publicado: 26/5/2025 -
Agentic Reward Modeling_Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems
Publicado: 26/5/2025 -
Beyond Reward Hacking: Causal Rewards for Large LanguageModel Alignment
Publicado: 26/5/2025
Cut through the noise. We curate and break down the most important AI papers so you don’t have to.
