Useful for Exploration, Risky for Precision: Evaluating AI Tools in Academic Research

ArXi:2605.10125v1 Announce Type: new Artificial intelligence (AI) tools are being incorporated into scientific research workflows with the potential to enhance efficiency in tasks such as document analysis, question answering (Q and A), and literature search. However, system outputs are often difficult to verify, lack transparency in their generation and remain prone to errors. Suitable benchmarks are needed to document and evaluate arising issues.