AJ-Bench provides 155 tasks in three domains to evaluate environment-interacting agent judges, showing performance gains over LLM-as-a-Judge but exposing remaining verification challenges.
The corresponding command: -`pyautogui.dragTo(1050, 546, duration=0.5)` also indicates a rightward movement
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AJ-Bench: Benchmarking Agent-as-a-Judge for Environment-Aware Evaluation
AJ-Bench provides 155 tasks in three domains to evaluate environment-interacting agent judges, showing performance gains over LLM-as-a-Judge but exposing remaining verification challenges.