Does The Way You Plan Matter? An Empirical Study of Planning Representations for LLM Web Agents

ArXi:2605.29927v1 Announce Type: cross Despite recent advances, LLM-based web agents still struggle with limited exploration, omission of critical steps, and sensitivity to task constraints. Prior work suggests that many of these failures stem from weaknesses in planning, yet the impact of alternative natural language plan representation remains unexplored. To address this, we