Amap Tech

Jun 18, 2026 · Artificial Intelligence

MapSatisfyBench: From Task Completion to Decision Satisfaction for Map Agents

MapSatisfyBench, a new benchmark co‑developed by Amap and Peking University, shifts map‑agent evaluation from simple task‑completion to quantifiable decision‑satisfaction by extracting implicit user demands via a restore‑identify‑filter pipeline, constructing a five‑dimensional truth schema and revealing that current LLM agents often complete tasks yet fail to meet hidden user preferences.