Are Agents Ready to Teach? A Multi-Stage Benchmark for Real-World Teaching Workflows

arXiv:2605.14322 · cs.AI · Submitted 2026-05-14 · Read on arXiv

cs.AI

Submitted: 2026-05-14

Updated: 2026-09-29

Terminology

• Benchmark — 3× in this paper · explained in 2 episodes
• Verifier — 1× in this paper · explained in 2 episodes

Related papers

• MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
• Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
• Agents' Last Exam
• The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
• MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
• Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems