4 citations · 7 across the 6 of their papers we have counts for
6 papers
WebChain: A Large-Scale Human-Annotated Dataset of Real-World Web Interaction Traces
Sicheng Fan, Rui Wan, Yifei Leng +4
We introduce WebChain, the largest open-source dataset of human-annotated trajectories on real-world websites, designed to accelerate reproducible research in web agents. It contai…
WebFactory: Automated Compression of Foundational Language Intelligence into Grounded Web Agents
Sicheng Fan, Qingyun Shi, Shengze Xu +5
Current paradigms for training GUI agents are fundamentally limited by a reliance on either unsafe, non-reproducible live web interactions or costly, scarce human-crafted data and…
VenusBench-GD: A Comprehensive Multi-Platform GUI Benchmark for Diverse Grounding Tasks
Beitong Zhou, Zhexiao Huang, Yuan Guo +10
GUI grounding is a critical component in building capable GUI agents. However, existing grounding benchmarks suffer from significant limitations: they either provide insufficient d…
Universal Retrieval for Multimodal Trajectory Modeling
Xuan Zhang, Ziyan Jiang, Rui Meng +5
Trajectory data, capturing human actions and environmental states across various modalities, holds significant potential for enhancing AI agent capabilities, particularly in GUI en…
The BrowserGym Ecosystem for Web Agent Research
Thibault Le Sellier De Chezelles, Maxime Gasse, Alexandre Drouin +17
The BrowserGym ecosystem addresses the growing need for efficient evaluation and benchmarking of web agents, particularly those leveraging automation and Large Language Models (LLM…
WebCanvas: Benchmarking Web Agents in Online Environments
Yichen Pan, Dehan Kong, Sida Zhou +8
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, mos…