ZARZA We are Zarza, the prestigious firm behind major projects in information technology.

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.

624 episodios disponibles

Latest episodes of the podcast Best AI papers explained

Mostrando página 21 de 32

LLM In-Context Learning as Kernel Regression 23/05/2025

Where does In-context Learning Happen in Large Language Models? 23/05/2025

Auto-Differentiating Any LLM Workflow: A Farewell to Manual Prompting 22/05/2025

metaTextGrad: Learning to learn with language models as optimizers 22/05/2025

Semantic Operators: A Declarative Model for Rich, AI-based Data Processing 22/05/2025

Isolated Causal Effects of Language 22/05/2025

Sleep-time Compute: Beyond Inference Scaling at Test-time 22/05/2025

J1: Incentivizing Thinking in LLM-as-a-Judge 22/05/2025

ShiQ: Bringing back Bellman to LLMs 22/05/2025

Policy Learning with a Natural Language Action Space: A Causal Approach 22/05/2025

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models 22/05/2025

End-to-End Learning for Stochastic Optimization: A Bayesian Perspective 21/05/2025

TEXTGRAD: Automatic Differentiation via Text 21/05/2025

Steering off Course: Reliability Challenges in Steering Language Models 20/05/2025

Past-Token Prediction for Long-Context Robot Policies 20/05/2025

Recovering Coherent Event Probabilities from LLM Embeddings 20/05/2025

Systematic Meta-Abilities Alignment in Large Reasoning Models 20/05/2025

Predictability Shapes Adaptation: An Evolutionary Perspective on Modes of Learning in Transformers 20/05/2025

Efficient Exploration for LLMs 19/05/2025

Rankers, Judges, and Assistants: Towards Understanding the Interplay of LLMs in Information Retrieval Evaluation 18/05/2025

« Primera ‹ Anterior 1 ... 19 20 21 22 23 ... 32 Siguiente › Última »