Adversarial examples mislead deep neural networks with imperceptible
per...
The exponential growth of social media platforms has brought about a
rev...
Referring image segmentation aims to segment an object mentioned in natu...
Safety lies at the core of the development of Large Language Models (LLM...
Recently, the community has witnessed the advancement of Large Language
...
Python is a popular dynamic programming language, evidenced by its ranki...
Multilingual speech recognition for both monolingual and code-switching
...
Large Language Models (LLMs) have made remarkable advancements in the fi...
The exponential growth of social media platforms, such as Facebook and
T...
Powered by advanced Artificial Intelligence (AI) techniques, conversatio...
Pre-trained models of code have gained widespread popularity in many cod...
Large language models (LLMs) like ChatGPT and GPT-4 have exhibited remar...
Deep neural networks have achieved unprecedented success on diverse visi...
ChatGPT is a cutting-edge artificial intelligence language model develop...
The exponential growth of social media platforms such as Twitter and Fac...
This report provides a preliminary evaluation of ChatGPT for machine
tra...
Zero-sum Markov Games (MGs) has been an efficient framework for multi-ag...
The contextual information is critical for various computer vision tasks...
Zero-shot translation is a promising direction for building a comprehens...
Due to the labor-intensive nature of manual test oracle construction, va...
With the wide applications of deep neural network models in various comp...
Deep neural networks (DNNs) are known to be vulnerable to adversarial
ex...
In this paper, we present a substantial step in better understanding the...
Application Programming Interfaces (APIs), which encapsulate the
impleme...
This paper introduces the system submitted by the Yidun NISP team to the...
In this paper, we propose a new state representation method, called enco...
Deep neural networks, particularly face recognition models, have been sh...
Deep models have shown their vulnerability when processing adversarial
s...
This paper proposes an off-line algorithm, called Recurrent Model Predic...
Transformer becomes the state-of-the-art translation model, while it is ...
Accurate analysis of the fibrosis stage plays very important roles in
fo...
Person re-identification (Re-ID) aims to match a target person across ca...
Affective computing and cognitive theory are widely used in modern
human...
The recent research of facial expression recognition has made a lot of
p...
Neural networks with Auto-regressive structures, such as Recurrent Neura...
Person Re-identification (re-id) faces two major challenges: the lack of...