HexEval: New Framework for Multidimensional Scholar Assessment

A novel evaluation framework for scholars, named HexEval, has been introduced in a paper on arXiv. This framework seeks to overcome the shortcomings of current assessment methods that mainly depend on bibliometric metrics and reputation indicators. While recent approaches utilizing large language models (LLMs) have concentrated on assessing individual research papers, HexEval redefines scholar evaluation as an evidence-based reasoning challenge, incorporating both inherent research quality and verifiable scholarly conduct. It divides the assessment into two interrelated evidence layers: an intrinsic layer, which reviews anonymized representative works across three criteria—research rigor, methodological innovation, and scientific contribution—and an external layer that evaluates scholarly actions, including collaboration trends, citation influence, and community service. HexEval aspires to deliver a more comprehensive and objective evaluation, essential for faculty recruitment, funding decisions, academic promotions, and talent identification. The paper can be found on arXiv with the identifier 2608.10584.