Robustness in Large Language Models: A Survey of Mitigation Strategies and Evaluation Metrics
NeutralArtificial Intelligence
Robustness in Large Language Models: A Survey of Mitigation Strategies and Evaluation Metrics
A recent survey highlights the importance of robustness in large language models (LLMs), which are crucial for advancements in natural language processing and artificial intelligence. The study reviews various strategies and evaluation metrics aimed at enhancing the reliability of LLMs. This is significant as it addresses ongoing challenges in the field, ensuring that these models can perform effectively in real-world applications.
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