Giga-Embeddings: Mixture-of-Experts Encoders for High-Throughput Text Embeddings Paper • 2608.23806 • Published 11 days ago • 2
Ouroboros: A Self-Developing Frontier Coding Agent with Reviewed Core Evolution Paper • 2608.08311 • Published 27 days ago • 91
GigaAM Multilingual: Foundation Model for Underrepresented Languages Paper • 2607.10371 • Published Jul 11 • 34
Green-VLA: Staged Vision-Language-Action Model for Generalist Robots Paper • 2602.00919 • Published Jan 31 • 322
T-pro 2.0: An Efficient Russian Hybrid-Reasoning Model and Playground Paper • 2512.10430 • Published Dec 11, 2025 • 121
Kandinsky 5.0: A Family of Foundation Models for Image and Video Generation Paper • 2511.14993 • Published Nov 19, 2025 • 236
view article Article Llama‑Embed‑Nemotron‑8B Text Embedding Model Ranks First on Multilingual MTEB Leaderboard nvidia • Oct 21, 2025 • 14
view article Article Introducing MTEB v2: Evaluation of embedding and retrieval systems for more than just text isaacchung • Oct 20, 2025 • 38
The Differences Between Direct Alignment Algorithms are a Blur Paper • 2502.01237 • Published Feb 3, 2025 • 113