Web Corpus

Web corpora, massive collections of text and data from the internet, are crucial for training large language models (LLMs). Current research emphasizes improving corpus quality by addressing noise, bias, redundancy, and the inclusion of sensitive information, often employing techniques like ensemble methods and data deduplication/diversification to enhance model performance. This work is vital for developing more accurate, reliable, and ethically responsible LLMs, impacting various applications from natural language processing tasks to cross-lingual model adaptation. The development of larger, higher-quality, and more diverse corpora, along with improved data processing techniques, remains a key focus.