Field of Study:

Robustness NLP is a subfield of Responsible NLP that deals with developing algorithms and models that are insensitive to biases, resistant to data perturbations, and reliable for out-of-distribution predictions. Robust models can operate reliably and accurately even in the presence of biased, noisy or adversarial input, such as misspellings, grammatical errors, or intentional attacks.