collaborators

6 papers

cs.LG2026

WARC-Bench: Web Archive Based Benchmark for GUI Subtask Executions

Sanjari Srivastava, Gang Li, Cheng Chang +8

Training web agents to navigate complex, real-world websites requires them to master - short-horizon interactions on multiple UI components (e.g., choosing the…

cs.AI2026

Learning Efficient Guardrails for Compliance

Xiaofei Wen, Wenjie Jacky Mo, Yanan Xie +2

Autonomous web agents are increasingly deployed for long-horizon tasks, yet their ability to adhere to real-world policies remains critically underexplored compared to standard saf…

cs.CV2026

When Vision Speaks for Sound

Xiaofei Wen, Wenjie Jacky Mo, Xingyu Fu +6

Despite rapid progress in video-capable MLLMs, we find that their apparent audio understanding in videos is often vision-driven: models rely on visual cues to infer or hallucinate…

cs.AI2025

OmniGuard: Unified Omni-Modal Guardrails with Deliberate Reasoning

Boyu Zhu, Xiaofei Wen, Wenjie Jacky Mo +4

Omni-modal Large Language Models (OLLMs) that process text, images, videos, and audio introduce new challenges for safety and value guardrails in human-AI interaction. Prior guardr…

cs.AI2025

Navigating the Digital World as Humans Do: Universal Visual Grounding for GUI Agents

Boyu Gou, Ruohan Wang, Boyuan Zheng +5

Multimodal large language models (MLLMs) are transforming the capabilities of graphical user interface (GUI) agents, facilitating their transition from controlled simulations to co…

cs.AI2025

Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents

Yu Gu, Kai Zhang, Yuting Ning +9

Language agents based on large language models (LLMs) have demonstrated great promise in automating web-based tasks. Recent work has shown that incorporating advanced planning algo…