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RealWeb: A Benchmark for Universal Instruction Following in Realistic Web Services Navigation

  • Harbin Institute of Technology
  • Shanghai Jiao Tong University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Traditional methods of interacting with web pages, such as clicking and scrolling, greatly hinder users, especially those with disabilities and the elderly from conveniently accessing web services. By following user instructions, automatic web service navigation agents accomplish complex tasks on the websites, which is a natural interactions with web services. To study this task, previous works constructed simple web pages within simulated environments, but the realistic websites are far more intricate in true environments. Moreover, existing methods for this task rely on manually collecting human demonstrations on the given websites, which is time-consuming and labor-intensive, and reduce the generalization ability of service agents to unseen websites. Thus, we construct the first Chinese multimodal benchmark for web services navigation under the realistic settings: across domains and without human demonstrations. Our benchmark comprises a dataset (RealWeb) and a baseline method (WeServe). RealWeb consists of 40 real-world websites, 110 pages, and 11,739 language instructions. To detect and understand the feasible operations of pages in the visual mode, the screenshot of each page is annotated with 5 critical areas in RealWeb. WeServeis a multi-modal framework for web services navigation that combines visual and textual information, enabling universal navigation on any web pages with a success rate of 68.61%. Our dataset and codes are available at https://gitee.com/plabrolin/real-web.

Original languageEnglish
Title of host publicationProceedings - 2024 IEEE International Conference on Web Services, ICWS 2024
EditorsRong N. Chang, Carl K. Chang, Zigui Jiang, Jingwei Yang, Zhi Jin, Michael Sheng, Jing Fan, Kenneth K. Fletcher, Qiang He, Qiang He, Claudio Ardagna, Jian Yang, Jianwei Yin, Zhongjie Wang, Amin Beheshti, Stefano Russo, Nimanthi Atukorala, Jia Wu, Philip S. Yu, Heiko Ludwig, Stephan Reiff-Marganiec, Emma Zhang, Anca Sailer, Nicola Bena, Kuang Li, Yuji Watanabe, Tiancheng Zhao, Shangguang Wang, Zhiying Tu, Yingjie Wang, Kang Wei
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages342-351
Number of pages10
ISBN (Electronic)9798350368550
DOIs
StatePublished - 2024
Event2024 IEEE International Conference on Web Services, ICWS 2024 - Hybrid, Shenzhen, China
Duration: 7 Jul 202413 Jul 2024

Conference

Conference2024 IEEE International Conference on Web Services, ICWS 2024
Country/TerritoryChina
CityHybrid, Shenzhen
Period7/07/2413/07/24

Keywords

  • Instruction Following
  • Multi-modal Benchmarks
  • Object Detection
  • Web navigation
  • Web services

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