Meng Wang

Theoretical Analysis of Contrastive Learning under Imbalanced Data: From Training Dynamics to a Pruning Solution

Efficient Quantization of Mixture-of-Experts with Theoretical Generalization Guarantees

A Theoretical Analysis of Mamba’s Training Dynamics: Filtering Relevant Features for Generalization in State Space Models

Can Mamba Learn In Context with Outliers? A Theoretical Generalization Analysis

Contrastive Learning with Data Misalignment: Feature Purity, Training Dynamics and Theoretical Generalization Guarantees

When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers

Training Nonlinear Transformers for Chain-of-Thought Inference: A Theoretical Generalization Analysis

Theoretical Analysis of Contrastive Learning in Vision-Language Model Pretraining: The Role of Synthetic Text Captions for Feature Alignment

Visual Prompting Reimagined: The Power of Activation Prompts