3 papers
cs.CL2025
MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention
MiniMax, :, Aili Chen +125
We introduce MiniMax-M1, the world's first open-weight, large-scale hybrid-attention reasoning model. MiniMax-M1 is powered by a hybrid Mixture-of-Experts (MoE) architecture combin…
cs.GT2025
CHG Shapley: Efficient Data Valuation and Selection towards Trustworthy Machine Learning
Huaiguang Cai
Understanding the decision-making process of machine learning models is crucial for ensuring trustworthy machine learning. Data Shapley, a landmark study on data valuation, advance…
cs.CV2025
CAMs as Shapley Value-based Explainers
Huaiguang Cai
Class Activation Mapping (CAM) methods are widely used to visualize neural network decisions, yet their underlying mechanisms remain incompletely understood. To enhance the underst…