OPUS: Towards Efficient and Principled Data Selection in Large Language Model Pre-training in Every Iteration Paper • 2602.05400 • Published 20 days ago • 331
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization Paper • 2601.05242 • Published Jan 8 • 228
Parallax: Efficient LLM Inference Service over Decentralized Environment Paper • 2509.26182 • Published Sep 30, 2025 • 1
Audio2Face-3D Collection Open-weight Audio2Face-3D and Audio2Emotion networks and a sample dataset for training and evaluation • 8 items • Updated about 23 hours ago • 15
INT v.s. FP: A Comprehensive Study of Fine-Grained Low-bit Quantization Formats Paper • 2510.25602 • Published Oct 29, 2025 • 78
Cerebras REAP Collection Sparse MoE models compressed using REAP (Router-weighted Expert Activation Pruning) method • 28 items • Updated 6 days ago • 119
SINQ: Sinkhorn-Normalized Quantization for Calibration-Free Low-Precision LLM Weights Paper • 2509.22944 • Published Sep 26, 2025 • 80
Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models Paper • 2510.04618 • Published Oct 6, 2025 • 129
Less is More: Recursive Reasoning with Tiny Networks Paper • 2510.04871 • Published Oct 6, 2025 • 509
The Dragon Hatchling: The Missing Link between the Transformer and Models of the Brain Paper • 2509.26507 • Published Sep 30, 2025 • 547
view article Article Building the Open Agent Ecosystem Together: Introducing OpenEnv +8 Oct 23, 2025 • 149
Bridging the Gap Between Promise and Performance for Microscaling FP4 Quantization Paper • 2509.23202 • Published Sep 27, 2025 • 29