TutorBench is a challenging benchmark to assess tutoring capabilities of LLMs. TutorBench consists of examples drawn from three common tutoring tasks: (i) generating adaptive explanations tailored to a student’s confusion, (ii) providing actionable feedback on a student’s work, and (iii) promoting active learning through effective hint generation.
Paper: TutorBench: A Benchmark To Assess Tutoring Capabilities Of Large Language Models
