Canzona: A Unified, Asynchronous, and Load-Balanced Framework for Distributed Matrix-based Optimizers Paper • 2602.06079 • Published 26 days ago • 18
SWE-Universe: Scale Real-World Verifiable Environments to Millions Paper • 2602.02361 • Published 27 days ago • 60
SWE-Universe: Scale Real-World Verifiable Environments to Millions Paper • 2602.02361 • Published 27 days ago • 60
QwenLong-L1.5: Post-Training Recipe for Long-Context Reasoning and Memory Management Paper • 2512.12967 • Published Dec 15, 2025 • 108
RefineX: Learning to Refine Pre-training Data at Scale from Expert-Guided Programs Paper • 2507.03253 • Published Jul 4, 2025 • 19
Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models Paper • 2506.05176 • Published Jun 5, 2025 • 79
RealCritic: Towards Effectiveness-Driven Evaluation of Language Model Critiques Paper • 2501.14492 • Published Jan 24, 2025 • 27
VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding Paper • 2501.13106 • Published Jan 22, 2025 • 90
Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models Paper • 2501.11873 • Published Jan 21, 2025 • 67
Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models Paper • 2501.11873 • Published Jan 21, 2025 • 67