Apertus: Democratizing Open and Compliant LLMs for Global Language Environments Paper • 2509.14233 • Published Sep 17 • 12
Apertus: Democratizing Open and Compliant LLMs for Global Language Environments Paper • 2509.14233 • Published Sep 17 • 12
Apertus LLM Collection Democratizing Open and Compliant LLMs for Global Language Environments: 8B and 70B open-data open-weights models, multilingual in >1000 languages • 4 items • Updated about 1 month ago • 292
Benchmarking Optimizers for Large Language Model Pretraining Paper • 2509.01440 • Published Sep 1 • 24 • 1
Gradient Clipping Improves AdaGrad when the Noise Is Heavy-Tailed Paper • 2406.04443 • Published Jun 6, 2024
Benchmarking Optimizers for Large Language Model Pretraining Paper • 2509.01440 • Published Sep 1 • 24
Just a Simple Transformation is Enough for Data Protection in Vertical Federated Learning Paper • 2412.11689 • Published Dec 16, 2024 • 2
Just a Simple Transformation is Enough for Data Protection in Vertical Federated Learning Paper • 2412.11689 • Published Dec 16, 2024 • 2 • 2
Unpacking SDXL Turbo: Interpreting Text-to-Image Models with Sparse Autoencoders Paper • 2410.22366 • Published Oct 28, 2024 • 83
Accurate Compression of Text-to-Image Diffusion Models via Vector Quantization Paper • 2409.00492 • Published Aug 31, 2024 • 11