How Does Retrieval Augmentation Impact Long-Form Question Answering? This AI Study Provides New Insights into How Retrieval Augmentation Impacts Long- Knowledge-Rich Text Generation of Language Models

LFQA aims to provide a complete and thorough response to any query. Parametric information in large language models (LLMs) and retrieved documents presented at inference time enable LFQA systems to construct complicated replies to questions in paragraphs rather than by extracting spans in the evidence document. Recent years have revealed the startling impressiveness and fragility […]

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