Can LLMs Detect Display Issues? Uncovering the Impact of Prompting Techniques

While Large Language Models (LLMs) offer a promising, costeffective alternative to conventional methods for detecting UI display issues, the effectiveness of various prompting techniques has not been systematically analyzed.This paper investigates the impact of various prompting techniques on the performance of LLMs in identifying UI display issues.Our analysis reveals that while some techniques significantly boost detection performance, others show minimal impact, and certain issue types, like Misalignment, remain challenging for all tested approaches. CCS Concepts Human-

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Publication Details

Published
2025-09-27
DOI
https://doi.org/10.1145/3746058.3758415
Primary Topic
Evolution and Genetic Dynamics
Type
article
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article

Can LLMs Detect Display Issues? Uncovering the Impact of Prompting Techniques

Evolution and Genetic Dynamics
article

Can LLMs Detect Display Issues? Uncovering the Impact of Prompting Techniques

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Abstract

While Large Language Models (LLMs) offer a promising, costeffective alternative to conventional methods for detecting UI display issues, the effectiveness of various prompting techniques has not been systematically analyzed.This paper investigates the impact of various prompting techniques on the performance of LLMs in identifying UI display issues.Our analysis reveals that while some techniques significantly boost detection performance, others show minimal impact, and certain issue types, like Misalignment, remain challenging for all tested approaches. CCS Concepts Human-

Jeonbuk National University (KR)
Openalex Percentile: Top 37%
Evolution and Genetic Dynamics
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Can LLMs Detect Display Issues? Uncovering the Impact of Prompting Techniques · (2025) | TGRS Research Map | TGRS