BrowseComp-ZH

🧭 BrowseComp-ZH: Benchmarking the Web Browsing Ability of Large Language Models in Chinese BrowseComp-ZH is the first high-difficulty benchmark specifically designed to evaluate the real-world web browsing and reasoning capabilities of large language models (LLMs) in the Chinese information ecosystem. Inspired by Brow

Papers using BrowseComp-ZH (7)

OpenSeeker: Democratizing Frontier Search Agents by Fully Open-Sourcing Training Data2026 · 1 citesOpenSeeker-v2: Pushing the Limits of Search Agents with Informative and High-Difficulty Trajectories2026SAM: State-Adaptive Memory for Long-Horizon Reasoning Agent2026SearchSwarm: Towards Delegation Intelligence in Agentic LLMs for Long-Horizon Deep Research2026MiroFlow: Towards High-Performance and Robust Open-Source Agent Framework for General Deep Research Tasks2026BrowseComp-ZH: Benchmarking Web Browsing Ability of Large Language Models in Chinese2025ReSum: Unlocking Long-Horizon Search Intelligence via Context Summarization2025