collaborators

5 papers

cs.CL2026

Mango: Multi-Agent Web Navigation via Global-View Optimization

Weixi Tong, Yifeng Di, Tianyi Zhang

Existing web agents typically initiate exploration from the root URL, which is inefficient for complex websites with deep hierarchical structures. Without a global view of the webs…

cs.HC2026

Do LLMs Need to See Everything? A Benchmark and Study of Failures in LLM-driven Smartphone Automation using Screentext vs. Screenshots

Shiquan Zhang, Tianyi Zhang, Le Fang +3

With the rapid advancement of large language models (LLMs), mobile agents have emerged as promising tools for phone automation, simulating human interactions on screens to accompli…

cs.AI2026

PV-SQL: Synergizing Database Probing and Rule-based Verification for Text-to-SQL Agents

Yuan Tian, Tianyi Zhang

Text-to-SQL systems often struggle with deep contextual understanding, particularly for complex queries with subtle requirements. We present PV-SQL, an agentic framework that addre…

cs.AI2026

RiskWebWorld: A Realistic Interactive Benchmark for GUI Agents in E-commerce Risk Management

Renqi Chen, Zeyin Tao, Jianming Guo +6

Graphical User Interface (GUI) agents show strong capabilities for automating web tasks, but existing interactive benchmarks primarily target benign, predictable consumer environme…

cs.CL2026

GROUNDEDKG-RAG: Grounded Knowledge Graph Index for Long-document Question Answering

Tianyi Zhang, Andreas Marfurt

Retrieval-augmented generation (RAG) systems have been widely adopted in contemporary large language models (LLMs) due to their ability to improve generation quality while reducing…