Associate Professor, Nanjing University
3 papers at NeurIPS 2025
We introduce EvaLearn, a pioneering benchmark designed to evaluate LLMs on their learning capability and efficiency in challenging tasks.
We introduce a novel object selection mechanism to allow sim-trained policies to rapidly adapt to real-world visual perturbations.