Apertus 1.5: From Open Text Models to Open Multimodal Reasoners
Paper • 2610.15542 • Published • 41
AI & ML interests
None defined yet.
Recent Activity
View all activity
vsabolcec
authored 5
papers 1 day ago
Adapting English Quality Classifiers for Multilingual LLM Pretraining Data Selection
Paper • 2610.11585 • Published
Toward Cross-Lingual Quality Classifiers for Multilingual Pretraining Data Selection
Paper • 2604.20549 • Published • 1
Apertus: Democratizing Open and Compliant LLMs for Global Language Environments
Paper • 2509.14233 • Published • 25
URLs Help, Topics Guide: Understanding Metadata Utility in LLM Training
Paper • 2505.16570 • Published
Corrupt page headers in two files
1
#3 opened about 1 month ago
by 
malteos
mjaggi
authored 14
papers 24 days ago
Apertus 1.5: From Open Text Models to Open Multimodal Reasoners
Paper • 2610.15542 • Published • 41
Adapting English Quality Classifiers for Multilingual LLM Pretraining Data Selection
Paper • 2610.11585 • Published
Toward Cross-Lingual Quality Classifiers for Multilingual Pretraining Data Selection
Paper • 2604.20549 • Published • 1
Federated Learning for Malware Detection in IoT Devices
Paper • 2104.09994 • Published
MXSens: Sensitivity-Aware Mixed-Precision Quantization for Efficient LLM Inference
Paper • 2607.17733 • Published
DoGE: Domain Reweighting with Generalization Estimation
Paper • 2310.15393 • Published • 1
Enhancing Multilingual LLM Pretraining with Model-Based Data Selection
Paper • 2502.10361 • Published • 2
Mitigating Unintended Memorization with LoRA in Federated Learning for LLMs
Paper • 2502.05087 • Published
Multiplication-Free Transformer Training via Piecewise Affine Operations
Paper • 2305.17190 • Published • 2
Special Properties of Gradient Descent with Large Learning Rates
Paper • 2205.15142 • Published
Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations
Paper • 2405.18392 • Published • 12
Improving Neural Network Training by Decoupling the Magnitude and Direction of Weight Vectors
Paper • 2606.25971 • Published
Tying the Loop -- Tied Expert Layers in Mixture-of-Experts Language Models
Paper • 2606.16825 • Published
Apertus LLM Family Expansion via Distillation and Quantization
Paper • 2605.29128 • Published