Literature Review

Literature reviews, crucial for synthesizing existing research, are increasingly automated using artificial intelligence, particularly large language models (LLMs). Current research focuses on improving the efficiency and accuracy of LLM-driven literature review generation, including hierarchical organization of findings and enhanced filtering of relevant papers, often employing techniques like retrieval-augmented generation and prompt engineering. This automation promises to significantly accelerate the research process, enabling scientists to more efficiently synthesize information and focus on higher-level analysis and interpretation.