AI RESEARCH
This looks like what? Challenges and Future Research Directions for Part-Prototype Models
arXiv CS.LG
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ArXi:2502.09340v2 Announce Type: replace The growing interest in eXplainable Artificial Intelligence (XAI) has stimulated research on models with built-in interpretability, among which part-prototype models are particularly prominent. Part-Prototype Models (PPMs) classify inputs by comparing them to learned prototypes and provide human-understandable explanations of the form "this looks like that". Despite this intrinsic interpretability, PPMs have not yet emerged as a competitive alternative to post-hoc explanation methods.