Wanrong Huang

RePAIR: A Rule-based Process-Adaptive Reinforcement for Large Language Model Training

Breaking the Gradient Barrier: Unveiling Large Language Models for Strategic Classification

Transformer-Based Spatial-Temporal Counterfactual Outcomes Estimation

Effective and Efficient Time-Varying Counterfactual Prediction with State-Space Models

Enhanced Semantic Alignment in Transformer Tracking via Position Learning and Force-Directed Attention