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

8 citations · 14 across the 5 of their papers we have counts for

collaborators

5 papers

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.SE2023

HateModerate: Testing Hate Speech Detectors against Content Moderation Policies

Jiangrui Zheng, Xueqing Liu, Guanqun Yang +5

To protect users from massive hateful content, existing works studied automated hate speech detection. Despite the existing efforts, one question remains: do automated hate speech…

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…

cs.CL2021★ 5 cited

An Empirical Study on Hyperparameter Optimization for Fine-Tuning Pre-trained Language Models

Xueqing Liu, Chi Wang

The performance of fine-tuning pre-trained language models largely depends on the hyperparameter configuration. In this paper, we investigate the performance of modern hyperparamet…