activity
20212026
most citedTestAug: A Framework for Augmenting Capability-based NLP Tests

8 citations · 10 across the 5 of their papers we have counts for

collaborators

7 papers

cs.IR2026

SkillSeek: Revisiting Agent Skill Retrieval at Marketplace Scale

Guanqun Yang, Wenlong Zhang, Tian Shi +1

Anthropic's Agent Skills package reusable procedural know-how for an LLM agent into SKILL.md directories, and open-source aggregations have grown past 230,000 skills, making select…

cs.IR2026

PatchHolmes: Agentic Patch Retrieval via Listwise Selection

Guanqun Yang, Yingming Zhou, Jiangrui Zheng +2

Patch retrieval, the task of finding the commit that fixes a known vulnerability, is the foundation of vulnerability management workflows, yet 60% to 63% of CVEs in the major advis…

cs.SE2026

WatchPoint: Executable User Feedback for Real-World Agentic Web Development

Guanqun Yang, Wei Yang, Xueqing Liu

When a professional web developer's code fails a test, they do not simply re-read the stack trace. They open the application in a browser, click buttons, inspect computed styles, a…

cs.AI2026

ART: Adaptive Reasoning Trees for Explainable Claim Verification

Sahil Wadhwa, Himanshu Kumar, Guanqun Yang +4

Large Language Models (LLMs) are powerful candidates for complex decision-making, leveraging vast encoded knowledge and remarkable zero-shot abilities. However, their adoption in h…

cs.CR2025★ 1 cited

SPFinder: Improving the Context Length and Scalability for Tracing Known Vulnerability Patches

Jiangrui Zheng, Xueqing Liu, Guanqun Yang +3

An upstream task for vulnerability management is the accurate localization of the patch that fixes a vulnerability. Existing works have proposed several approaches to trace or retr…

cs.SE2022★ 8 cited

TestAug: A Framework for Augmenting Capability-based NLP Tests

Guanqun Yang, Mirazul Haque, Qiaochu Song +2

The recently proposed capability-based NLP testing allows model developers to test the functional capabilities of NLP models, revealing functional failures that cannot be detected…

cs.CL2021★ 1 cited

Few-Sample Named Entity Recognition for Security Vulnerability Reports by Fine-Tuning Pre-Trained Language Models

Guanqun Yang, Shay Dineen, Zhipeng Lin +1

Public security vulnerability reports (e.g., CVE reports) play an important role in the maintenance of computer and network systems. Security companies and administrators rely on i…