Academic Literature Review in Age of AI and Large Language Models​

• Main Author: Tay, Aaron
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Artificial Intelligence; Large Language Models; tools for academic research; Artificial Intelligence and Robotics; Scholarly Communication; Scholarly Publishing
• Online Access: https://ink.library.smu.edu.sg/library_research/218; https://ink.library.smu.edu.sg/context/library_research/article/1223/viewcontent/Academic_Literature_Review_in_Age_of_AI_and_Large_Language_Models.pdf
• Institution: Singapore Management University

Explore the evolving landscape of academic research with a focus on open data and AI advancements, particularly in natural language processing. Join us for a practical presentation on leveraging emerging tools for literature review. Discover platforms like Connected Papers, ResearchRabbit, and Litmaps, offering paper exploration and recommendations based on initial 'seed papers.' Dive into AI-enhanced search engines like Elicit, Scispace, Semantic Scholar, and Scite.ai, powered by Large Language Models such as BERT and GPT. Learn about the latest developments, strengths, and weaknesses of these tools, and how they reshape literature review methods, from tool selection to query input techniques.