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cs.CL2023
Whispers of Doubt Amidst Echoes of Triumph in NLP Robustness
Ashim Gupta, Rishanth Rajendhran, Nathan Stringham +2
Do larger and more performant models resolve NLP's longstanding robustness issues? We investigate this question using over 20 models of different sizes spanning different architect…
cs.CL2023
How Much Consistency Is Your Accuracy Worth?
Jacob K. Johnson, Ana Marasović
Contrast set consistency is a robustness measurement that evaluates the rate at which a model correctly responds to all instances in a bundle of minimally different examples relyin…