most citedROME: Testing Image Captioning Systems via Recursive Object Melting

3 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SE2024

AllHands: Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models

Chaoyun Zhang, Zicheng Ma, Yuhao Wu +12

Verbatim feedback constitutes a valuable repository of user experiences, opinions, and requirements essential for software development. Effectively and efficiently extracting valua…

cs.SE20233 cited

ROME: Testing Image Captioning Systems via Recursive Object Melting

Boxi Yu, Zhiqing Zhong, Jiaqi Li +3

Image captioning (IC) systems aim to generate a text description of the salient objects in an image. In recent years, IC systems have been increasingly integrated into our daily li…

cs.SE2023

Assess and Summarize: Improve Outage Understanding with Large Language Models

Pengxiang Jin, Shenglin Zhang, Minghua Ma +13

Cloud systems have become increasingly popular in recent years due to their flexibility and scalability. Each time cloud computing applications and services hosted on the cloud are…

cs.SE2023

Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction

Zhenhao Li, Chuan Luo, Tse-Hsun Chen +4

Due to the sheer size of software logs, developers rely on automated techniques for log analysis. One of the first and most important steps of automated log analysis is log abstrac…

cs.SE20231 cited

Incident-aware Duplicate Ticket Aggregation for Cloud Systems

Jinyang Liu, Shilin He, Zhuangbin Chen +10

In cloud systems, incidents are potential threats to customer satisfaction and business revenue. When customers are affected by incidents, they often request customer support servi…