Hasan Mahmud

LLMs can reliably assess social attraction but tend to exaggerate their judgments compared to human evaluators.

LLM-powered robots misinterpret comfort and strangeness in human-robot interactions, conflating engagement with comfort in their self-assessments.

LLMs can leapfrog current geometric reasoning benchmarks by generating multiple, diverse reasoning paths and voting on the best answer.