XLM RoBERTa

XLM-RoBERTa is a multilingual language model frequently used for various natural language processing tasks, primarily focusing on improving cross-lingual understanding and performance. Current research emphasizes its application in diverse domains, including sexism detection, historical language processing, ESG impact analysis, and named entity recognition, often employing fine-tuning strategies and adapter-based methods for efficient adaptation to specific tasks and languages. This adaptability makes XLM-RoBERTa a valuable tool for researchers tackling multilingual challenges across numerous fields, leading to advancements in both computational linguistics and practical applications like online content moderation and information extraction.