Yanyi Shang — accepted AI-conference papers

2026

WebChain: A Large-Scale Human-Annotated Dataset of Real-World Web Interaction Traces

Sicheng Fan, Rui Wan, Yifei Leng, Gaoning Liang, Li Ling, Yanyi Shang +1

CVPR 2026

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 contains 31,725 trajectories and 318k steps, featuring a core Triple Alignment of visual, structural, and action data to provi

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2026

WebFactory: Automated Compression of Foundational Language Intelligence into Grounded Web Agents

Sicheng Fan, Qingyun Shi, Shengze Xu, Shengbo Cai, Tieyong Zeng, LI LING +2

ICLR 2026poster

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 environments. We argue this focus on data volume overlooks a more critical factor: the efficiency of compressing a large…

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