PhD student, national university of singaore, National University of Singapore
2 papers at NeurIPS 2025
We introduce VeriThinker, a simple yet effective approach for CoT compression.
We efficetively address the resolution scalability challenge caused by exponential growth in token sequences in VAR models, while preserving pixel-level fidelity.
