Multi-agent systems outperform single agent in complex collaborative tas...
Automatic detection of software bugs is a critical task in software secu...
Many automatic unit test generation tools that can generate unit test ca...
We propose a new paradigm for universal information extraction (IE) that...
Machine learning (ML) has been increasingly used in a variety of domains...
Named-entity recognition (NER) detects texts with predefined semantic la...
Safety is crucial for robotic missions within an uncertain environment.
...
Automated GUI testing is widely used to help ensure the quality of mobil...
As the bridge between users and software, Graphical User Interface (GUI)...
The latent world model provides a promising way to learn policies in a
c...
We propose a new paradigm for zero-shot learners that is format agnostic...
This paper describes LeVoice automatic speech recognition systems to tra...
Convolution neural networks (CNNs) have good performance in low-complexi...
Natural language (NL) documentation is the bridge between software manag...
This paper proposes a novel stroke-based rendering (SBR) method that
tra...
This report describes a pre-trained language model Erlangshen with
prope...
Code summarization, the task of generating useful comments given the cod...
Manual testing, as a complement to automated GUI testing, is the last li...
Graphical User Interface (GUI) provides a visual bridge between a softwa...
User reviews of mobile apps provide a communication channel for develope...
Benefited from the rapid and sustainable development of synthetic apertu...
The application of machine learning (ML) libraries has been tremendously...
Mobile apps are indispensable for people's daily life. Complementing wit...
In open source software (OSS) communities, existing leadership indicator...
Synthetic aperture radar (SAR) image change detection is a vital yet
cha...
In recent years, hyperspectral image (HSI) classification based on gener...
Wake-up word detection models are widely used in real life, but suffer f...
This paper introduces an online speaker diarization system that can hand...
Explaining the prediction results of software defect prediction models i...
With the development of deep learning, automatic speaker verification ha...
The development of autonomous driving has attracted extensive attention ...
Static bug finders have been widely-adopted by developers to find bugs i...
This report describes the submission of the DKU-DukeECE-Lenovo team to t...
Graphical User Interface (GUI) provides visual bridges between software ...
Target speech separation is the process of filtering a certain speaker's...
Deep learning-based code processing models have shown good performance f...
Convolutional neural networks (CNN) have made great progress for synthet...
In this paper, we describe the use of recurrent neural networks to captu...
In this paper, we focus on improving the performance of the text-depende...
Confusing-words are commonly encountered in real-life keyword spotting
a...
Existing model-based value expansion methods typically leverage a world ...
Graphical User Interface (GUI) provides a visual bridge between a softwa...
This paper introduces our approaches for the Mask and Breathing Sub-Chal...
In this paper, we propose a deep convolutional neural network-based acou...
In this paper, we present the submitted system for the second DIHARD Spe...
Generalized zero-shot learning (GZSL) tackles the problem of learning to...
Knowledge-based systems reason over some knowledge base. Hence, an impor...
Autonomous driving decision-making is a great challenge due to the compl...
In recent years, coverage-based greybox fuzzing has proven itself to be ...
Trade-offs such as "how much testing is enough" are critical yet challen...