loading page

Benchmarking Llama 3 for Chinese News Summation: Accuracy, Cultural Nuance, and Societal Value Alignment
  • Tianxuan Lu,
  • Jin Hu,
  • Pingping Chen
Tianxuan Lu
Hangzhou Qimin Artificial Intelligence Research Center

Corresponding Author:[email protected]

Author Profile
Jin Hu
Hangzhou Qimin Artificial Intelligence Research Center
Author Profile
Pingping Chen
Hangzhou Qimin Artificial Intelligence Research Center
Author Profile

Abstract

Our benchmarking Llama 3 for Chinese news summarization is a novel approach that integrates cultural and ethical considerations into model evaluation, significantly enhancing the relevance and acceptability of the generated content. The study employs a comprehensive framework to assess accuracy, cultural understanding, and societal value compliance, providing a multifaceted evaluation of Llama 3's capabilities. The results demonstrate that Llama 3 outperforms traditional and contemporary models, achieving high scores in ROUGE metrics and specialized cultural and ethical indices. Key findings highlight the importance of fine-tuning on culturally rich datasets and the use of advanced evaluation metrics to capture the complex interplay between language, culture, and ethics. Challenges encountered during the research underscore the need for continuous dataset updates and metric refinement, suggesting directions for future studies. The insights gained from this evaluation contribute to the broader field of natural language processing by showcasing the potential of advanced models to produce high-quality, culturally aware, and ethically compliant summaries.
26 May 2024Submitted to TechRxiv
03 Jun 2024Published in TechRxiv