BART White Paper

The BART White Paper introduces BART (Bidirectional and Auto-Regressive Transformer), a model designed to improve natural language understanding and generation. BART combines the strengths of both bidirectional models like BERT (which understands the context of words from both sides) and autoregressive models like GPT (which generate text step-by-step). It is trained to both understand and produce coherent text by corrupting input and learning to restore it. This approach allows BART to excel in tasks such as summarization, translation, and question answering, making it a versatile tool for advanced language processing.