collaborators

5 papers

cs.AI2026

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…

cs.AI2026

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…

cs.CV2025

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…

cs.AI2025

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…

cs.LG2025

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…