research Token-Saving Transformer Architecture Novel attention sparsification and dynamic token reduction mechanism decreasing quadratic computational complexity. Ultra-Dense Context Compression High-fidelity semantic context compression method outperforming Caveman for dense information retrieval and LLM context efficiency. CropViT Climate-Aware Vision Transformer Model for Continental-Scale Crop Yield Prediction. CONFLUENCE Cross-Scale Graph Attention Architecture for Watershed Vegetation Forecasting. engineering Pedro Pathing & SolversLib Visualizer Autonomous motion profiling, trajectory optimization, and simulation visualizer for FIRST Tech Challenge robotics.
