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WebCanvas: Benchmarking Web Agents in Online Environments by Pan, Yichen; Kong, Dehan; Zhou, Sida; Cui, Cheng; Leng, Yifei; Jiang, Bing; Liu, Hangyu; Shang, Yanyi; Zhou, Shuyan; Wu, Tongshuang; Wu, Zhengyang is a scholarly article available to read on EtoBox.

What is WebCanvas: Benchmarking Web Agents in Online Environments about?

For web agents to be practically useful, they must adapt to the continuously evolving web environment characterized by frequent updates to user interfaces and content. However, most existing benchmarks only capture the static aspects of the web. To bridge this gap, we introduce WebCanvas, an innovative online evaluation framework for web agents that effectively addresses the dynamic nature of web interactions. WebCanvas contains three main components to facilitate realistic assessments: (1) A novel evaluation metric which reliably capture critical intermediate actions or states necessary for task completions while disregarding noise caused by insignificant events or changed web-elements. (2) A benchmark dataset called Mind2Web-Live, a refined version of original Mind2Web static dataset containing 542 tasks with 2439 intermediate evaluation states; (3) Lightweight and generalizable annotation tools and testing pipelines that enables the community to collect and maintain the high-quality, up-to-date dataset. Building on WebCanvas, we open-source an agent framework with extensible modules for reasoning, providing a foundation for the community to conduct online inference and evaluatio

Author

Pan, Yichen; Kong, Dehan; Zhou, Sida; Cui, Cheng; Leng, Yifei; Jiang, Bing; Liu, Hangyu; Shang, Yanyi; Zhou, Shuyan; Wu, Tongshuang; Wu, Zhengyang

Published

2024

Language

EN