Investigating Human--AI Discrepancies via Multiple-Solution Problems
This work asks whether human and model reasoning lead to different distributions over valid solutions, and compares these discrepancies across puzzle categories, and traces how they respond to reasoning-effort settings, to prompting, and to perturbations of the puzzle that leave its solutions unchanged.