NLP Verification: Towards a General Methodology for Certifying Robustness

Understand

Machine Learning (ML) has exhibited substantial success in the field of Natural Language Processing (NLP).

• For example large language models have empirically proven to be capable of producing text of high complexity and cohesion.
• However, they are prone to inaccuracies and hallucinations.
• As these systems are increasingly integrated into real-world applications, ensuring their safety and reliability becomes a primary concern.