3 papers
cs.CL2026
Evaluating Adaptive Personalization of Educational Readings with Simulated Learners
Ryan T. Woo, Anmol Rao, Aryan Keluskar +1
We present a framework for evaluating adaptive personalization of educational reading materials with theory-grounded simulated learners. The system builds a learning-objective and…
cs.CV2025
Explainable Human-in-the-Loop Segmentation via Critic Feedback Signals
Pouya Shaeri, Ryan T. Woo, Yasaman Mohammadpour +1
Segmentation models achieve high accuracy on benchmarks but often fail in real-world domains by relying on spurious correlations instead of true object boundaries. We propose a hum…
cs.LG2025
Tri-Accel: Curvature-Aware Precision-Adaptive and Memory-Elastic Optimization for Efficient GPU Usage
Mohsen Sheibanian, Pouya Shaeri, Alimohammad Beigi +2
Deep neural networks are increasingly bottlenecked by the cost of optimization, both in terms of GPU memory and compute time. Existing acceleration techniques, such as mixed precis…