# Meituan Launches Next-Generation Search Agent Evaluation Benchmark LoHoSearch

- Category: Flash (快讯)
- Published: 2026-07-21T11:50:00.000Z
- Source date: 2026-07-21
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Meituan's LongCat team released the LoHoSearch benchmark, generating difficult questions using Wikipedia knowledge graphs. Tests showed GPT-5.5 achieved only 34.74% accuracy, exposing bottlenecks in search agents for complex reasoning tasks.

## At a glance

- LoHoSearch generates difficult questions from Wikipedia knowledge graphs, increasing difficulty via dual dimensions.
- GPT-5.5 achieved only 34.74% accuracy, revealing bottlenecks in search agents for long-chain complex reasoning.

## The update

Meituan's LongCat team has officially launched LoHoSearch, a next-generation evaluation benchmark for search agents. Built on a knowledge graph of 7.62 million Wikipedia entities, it automatically generates 544 high-difficulty test questions. By controlling both search space and structural complexity, LoHoSearch significantly raises the evaluation bar. Results show that the current leading model, GPT-5.5, achieved an accuracy of only 34.74%, far below its performance on BrowseComp. This gap reveals significant technical bottlenecks in current search agents when handling long-chain complex reasoning tasks, making it difficult to cope with challenges involving high structural complexity.

## Sources

- [龙猫LongCat](https://mp.weixin.qq.com/s/NUzZonX_RIW-fhxBAIb6gw) (2026-07-21)

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