works on

From the 1 of 9 linked papers with an AI index.

activity
20242026
most citedStepFly: Agentic Troubleshooting Guide Automation for Incident Diagnosis

1 citations · 1 across the 2 of their papers we have counts for

collaborators

9 papers

cs.SE2026

Change2Task: From Repository Changes to Executable Coding Agent Tasks and Environments

Haomin Qi, Xingliang Wang, Xuanqi Gao +9

The paper introduces Change2Task, a system that turns merged pull requests from software repositories into verified, executable coding‑agent tasks by reconstructing the code state…

cs.AI20261 cited

StepFly: Agentic Troubleshooting Guide Automation for Incident Diagnosis

Jiayi Mao, Liqun Li, Yanjie Gao +9

Effective incident management in large-scale IT systems relies on troubleshooting guides (TSGs), but their manual execution is slow and error-prone. While recent advances in LLMs o…

cs.DC2026

UFO3: Weaving the Digital Agent Galaxy

Chaoyun Zhang, Liqun Li, He Huang +8

Large language model (LLM)-powered agents are transforming digital devices from passive tools into proactive intelligent collaborators. However, most existing frameworks remain con…

cs.AI2025

API Agents vs. GUI Agents: Divergence and Convergence

Chaoyun Zhang, Shilin He, Liqun Li +5

Large language models (LLMs) have evolved beyond simple text generation to power software agents that directly translate natural language commands into tangible actions. While API-…

cs.CL2025

WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct

Haipeng Luo, Qingfeng Sun, Can Xu +8

Large language models (LLMs), such as GPT-4, have shown remarkable performance in natural language processing (NLP) tasks, including challenging mathematical reasoning. However, mo…

cs.CL2025

GUI-Actor: Coordinate-Free Visual Grounding for GUI Agents

Qianhui Wu, Kanzhi Cheng, Rui Yang +15

One of the principal challenges in building VLM-powered GUI agents is visual grounding, i.e., localizing the appropriate screen region for action execution based on both the visual…