Evaluating the Robustness of Large Language Models: Insights and Challenges

Despite the impressive performance of large language models, significant gaps remain in their robustness to distributional shifts, behavioral capabilities, and adversarial attacks. Scaling model size alone does not fully resolve these longstanding issues in NLP.