3 papers
cs.LG2026
Shared Autoregressive Context Can Distort Relationships in Synthetic Data
Thomas S. Robinson
Large language models can generate several records within one autoregressive completion, making earlier answers available as context for later records. This paper shows that such s…
cs.AI2024
The Llama 3 Herd of Models
Aaron Grattafiori, Abhimanyu Dubey, Abhinav Jauhri +556
Modern artificial intelligence (AI) systems are powered by foundation models. This paper presents a new set of foundation models, called Llama 3. It is a herd of language models th…
cs.LG2023
Active learning with biased non-response to label requests
Thomas Robinson, Niek Tax, Richard Mudd +1
Active learning can improve the efficiency of training prediction models by identifying the most informative new labels to acquire. However, non-response to label requests can impa…