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cs.LG2025
Generative Data Refinement: Just Ask for Better Data
Minqi Jiang, João G. M. Araújo, Will Ellsworth +2
For a fixed parameter size, the capabilities of large models are primarily determined by the quality and quantity of its training data. Consequently, training datasets now grow fas…
cs.LG2023
Social Learning: Towards Collaborative Learning with Large Language Models
Amirkeivan Mohtashami, Florian Hartmann, Sian Gooding +3
We introduce the framework of "social learning" in the context of large language models (LLMs), whereby models share knowledge with each other in a privacy-aware manner using natur…