91 citations · 211 across the 29 of their papers we have counts for
31 papers
Automatic Model Card Generation Using an LLM
Tajkia Rahman Toma, Balreet Grewal, Cor-Paul Bezemer
Model cards are structured documents that summarize key information about machine learning models to improve transparency, usability, and accountability. However, they often lack a…
TempGlitch: Evaluating Vision-Language Models for Temporal Glitch Detection in Gameplay Videos
Yakun Yu, Ashley Wiens, Adrián Barahona-Ríos +4
Vision-language models (VLMs) are increasingly being explored for video game quality assurance, especially gameplay glitch detection. Most existing evaluations, however, treat glit…
RefGlitch-Bench: A Benchmark for Reference-based Gameplay Glitch Detection with Vision-Language Models
Yakun Yu, Ashley Wiens, Adrián Barahona-Ríos +4
Visual glitches in video games degrade player experience and perceived quality, yet manual quality assurance cannot keep pace with the growing test surface of modern game developme…
How Far Can VLMs Go for Visual Bug Detection? Studying 19,738 Keyframes from 41 Hours of Gameplay Videos
Wentao Lu, Alexander Senchenko, Alan Sayle +2
Video-based quality assurance (QA) for long-form gameplay video is labor-intensive and error-prone, yet valuable for assessing game stability and visual correctness over extended p…
Assessing the Feasibility of Selective Instrumentation for Runtime Code Coverage in Large C++ Game Engines
Ian Gauk, Doriane Olewicki, Joshua Romoff +1
Code coverage is a valuable guide for testing, but in AAA games the overhead of instrumentation conflicts with strict performance requirements and can destabilize automated tests.…
XBIDetective: Leveraging Vision Language Models for Identifying Cross-Browser Visual Inconsistencies
Balreet Grewal, James Graham, Jeff Muizelaar +4
Browser rendering bugs can be challenging to detect for browser developers, as they may be triggered by very specific conditions that are exhibited on only a very small subset of w…