collaborators

8 papers

cs.AI2026

WebGameBench: Requirement-to-Application Evaluation for Coding Agents via Browser-Native Games

Wenyu Zhang, Guoliang You, Tianlun +8

Coding agents are increasingly used as application builders, yet many evaluations still focus on source code, repository-level tests, or intermediate traces rather than the deliver…

cs.AI2026

Towards Scalable Lightweight GUI Agents via Multi-role Orchestration

Ziwei Wang, Junjie Zheng, Leyang Yang +7

Autonomous Graphical User Interface (GUI) agents powered by Multimodal Large Language Models (MLLMs) enable digital automation on end-user devices. While scaling both parameters an…

cs.SE2026

SVRepair: Structured Visual Reasoning for Automated Program Repair

Jincheng Wang, Liwei Luo, Xiaoxuan Tang +5

Large language models (LLMs) have recently been applied to Automated Program Repair (APR), yet most existing approaches remain unimodal and fail to use diagnostic signals contained…

cs.MM2025

AutoMV: An Automatic Multi-Agent System for Music Video Generation

Xiaoxuan Tang, Xinping Lei, Chaoran Zhu +10

Music-to-Video (M2V) generation for full-length songs faces significant challenges. Existing methods produce short, disjointed clips, failing to align visuals with musical structur…

cs.AI2025

ProBench: Benchmarking GUI Agents with Accurate Process Information

Leyang Yang, Ziwei Wang, Xiaoxuan Tang +4

With the deep integration of artificial intelligence and interactive technology, Graphical User Interface (GUI) Agent, as the carrier connecting goal-oriented natural language and…

cs.AI2025

History-Aware Reasoning for GUI Agents

Ziwei Wang, Leyang Yang, Xiaoxuan Tang +4

Advances in Multimodal Large Language Models have significantly enhanced Graphical User Interface (GUI) automation. Equipping GUI agents with reliable episodic reasoning capabiliti…

cs.AI2025

PG-Agent: An Agent Powered by Page Graph

Weizhi Chen, Ziwei Wang, Leyang Yang +5

Graphical User Interface (GUI) agents possess significant commercial and social value, and GUI agents powered by advanced multimodal large language models (MLLMs) have demonstrated…

cs.AI2025

CRAFT-GUI: Curriculum-Reinforced Agent For GUI Tasks

Songqin Nong, Xiaoxuan Tang, Jingxuan Xu +4

As autonomous agents become adept at understanding and interacting with graphical user interface (GUI) environments, a new era of automated task execution is emerging. Recent studi…