The increasing capability of Large Language Models (LLMs) makes them appealing for adoption in labor-intensive human tasks. For example, significant efforts have recently focused on developing agents -- systems that map observations and instructions to executable actions -- and their benchmarks in real-world tasks like web navigation. In this talk, ...
