Y. S. Li

Large Language Model Evaluation via Matrix Nuclear-Norm

2024 · arXiv (Cornell University)

As large language models (LLMs) continue to evolve, efficient evaluation metrics are vital for assessing their ability to compress information and reduce redundancy. While traditional metrics like Matrix Entropy offer valuable insights, they are computationally …

XTRUST: On the Multilingual Trustworthiness of Large Language Models

2024 · arXiv (Cornell University)

Large language models (LLMs) have demonstrated remarkable capabilities across a range of natural language processing (NLP) tasks, capturing the attention of both practitioners and the broader public. A key question that now preoccupies the AI …