Sary Elmansoury

MYOPIA: Understanding the Limits of Tree-Based Reasoning in Vision-Language Models

Decision trees can make vision-language model (VLM) classification interpretable by replacing a single prediction with a sequence of root-to-leaf questions. However, the accuracy cost of this greedy, non-backtracking procedure remains unclear. We introduce \textbf{MYOPIA}, a benchmark comprising four LLM-generated, hum...