Domain Specific Expertise Questions

Demonstrate deep technical knowledge in a specific research domain such as natural language processing, computer vision, reinforcement learning, or theoretical computer science. Topics include core model architectures, domain specific datasets and benchmarks, typical preprocessing and augmentation strategies, domain evaluation metrics and failure modes, common inductive biases and priors, and how to adapt or transfer methods across tasks. Candidates should be able to apply domain knowledge to design experiments, choose baselines, and interpret empirical results.