History Replays Itself: Unleashing Long-Context Capability in Linear Attention Paper • 2610.15715 • Published 7 days ago • 14
Self-Retrospection Distillation: Turning Post-hoc Experiences into Prior Foresight Paper • 2610.08077 • Published 12 days ago • 194
SlimQwen: Exploring the Pruning and Distillation in Large MoE Model Pre-training Paper • 2605.08738 • Published May 9 • 12
Canzona: A Unified, Asynchronous, and Load-Balanced Framework for Distributed Matrix-based Optimizers Paper • 2602.06079 • Published Feb 4 • 22
Canzona: A Unified, Asynchronous, and Load-Balanced Framework for Distributed Matrix-based Optimizers Paper • 2602.06079 • Published Feb 4 • 22
Canzona: A Unified, Asynchronous, and Load-Balanced Framework for Distributed Matrix-based Optimizers Paper • 2602.06079 • Published Feb 4 • 22
FlashDP: Private Training Large Language Models with Efficient DP-SGD Paper • 2507.01154 • Published Jul 1, 2025 • 1
Infinite Sampling: Efficient and Stable Grouped RL Training for Large Language Models Paper • 2506.22950 • Published Jun 28, 2025 • 1
Infinite Sampling: Efficient and Stable Grouped RL Training for Large Language Models Paper • 2506.22950 • Published Jun 28, 2025 • 1
FlashDP: Private Training Large Language Models with Efficient DP-SGD Paper • 2507.01154 • Published Jul 1, 2025 • 1
DistZO2: High-Throughput and Memory-Efficient Zeroth-Order Fine-tuning LLMs with Distributed Parallel Computing Paper • 2507.03211 • Published Jul 3, 2025
ZO2: Scalable Zeroth-Order Fine-Tuning for Extremely Large Language Models with Limited GPU Memory Paper • 2503.12668 • Published Mar 16, 2025 • 1
ZO2: Scalable Zeroth-Order Fine-Tuning for Extremely Large Language Models with Limited GPU Memory Paper • 2503.12668 • Published Mar 16, 2025 • 1