Bug fixing holds significant importance in software development and
main...
In this paper, we propose a novel method, Chain-of-Thoughts Attribute
Ma...
Despite their ability to aid developers in detecting potential defects e...
We introduce ClusterLLM, a novel text clustering framework that leverage...
Generating meaningful assert statements is one of the key challenges in
...
Automated program repair is a crucial task for improving the efficiency ...
The problem of realistic VQA (RVQA), where a model has to reject unanswe...
The growing demand for mental health support has highlighted the importa...
New intent discovery aims to uncover novel intent categories from user
u...
It is challenging to train a good intent classifier for a task-oriented
...
This paper investigates the effectiveness of pre-training for few-shot i...
Low-dose CT has been a key diagnostic imaging modality to reduce the
pot...
Camera scene detection is among the most popular computer vision problem...
Networks of coupled oscillators are some of the most studied objects in ...
The distribution and appearance of nuclei are essential markers for the
...
This is a method report for the Kaggle data competition 'Predict future
...
In this paper we introduce the core results of the project on software
d...