2 papers
cs.CL2026
Beyond URLs: Metadata Diversity and Position for Efficient LLM Pretraining
Dongyang Fan, Diba Hashemi, Sai Praneeth Karimireddy +1
Incorporating metadata in Large Language Models (LLMs) pretraining has recently emerged as a promising approach to accelerate training. However prior work highlighted only one usef…
cs.CL2025
Apertus: Democratizing Open and Compliant LLMs for Global Language Environments
Project Apertus, Alejandro Hernández-Cano, Alexander Hägele +100
We present Apertus, a fully open suite of large language models (LLMs) designed to address two systemic shortcomings in today's open model ecosystem: data compliance and multilingu…