Large language models (LLMs) have demonstrated exceptional performance i...
Rigorously testing autonomy systems is essential for making safe self-dr...
Collaborative heterogeneous robot systems can greatly improve the effici...
In this paper, we reveal the existence of a new class of prefetcher, the...
Multilingual pretrained language models (mPLMs) have shown their
effecti...
Text generation rarely considers the control of lexical complexity, whic...
The reconfigurable intelligent surface (RIS) has been a potential techno...
Dictionaries can help language learners to learn vocabulary by providing...
Privacy protection is an essential issue in personalized news recommenda...
The definition generation task can help language learners by providing
e...
Learner corpus collects language data produced by L2 learners, that is s...
This paper demonstrates that multilingual pretraining, a proper fine-tun...
Modern processor designs use a variety of microarchitectural methods to
...
Side-channel attacks are a security exploit that take advantage of
infor...
What will the future of UAV cellular communications be? In this tutorial...
Previous works mainly focus on improving cross-lingual transfer for NLU ...
In this paper, we focus our attention on the mitigation of beam squint f...
Most existing Grammatical Error Correction (GEC) methods based on
sequen...
Modern self-driving perception systems have been shown to improve upon
p...
Scalable sensor simulation is an important yet challenging open problem ...
In this paper, we tackle the problem of depth completion from RGBD data....
In this paper we propose to exploit multiple related tasks for accurate
...
Direct air-to-ground (A2G) communications leveraging the fifth-generatio...
Generating dictionary definitions automatically can prove useful for lan...
In this paper, we propose the Deep Structured self-Driving Network (DSDN...
We propose a motion forecasting model that exploits a novel structured m...
We tackle the problem of joint perception and motion forecasting in the
...
The growing deployment of drones in a myriad of applications relies on
s...
Flying drones can be used in a wide range of applications and services f...
Due to the lack of parallel data in current Grammatical Error Correction...
Chinese definition modeling is a challenging task that generates a dicti...
In this paper, we propose to extend the recently introduced model-agnost...
In this paper, we propose an extended sub-connected architecture with
ar...
In this paper, we propose an extended sub-connected architecture with
ar...
As a widely used approximate search strategy for neural network decoders...
In this paper, we focus on the design of the hybrid analog/digital preco...
In this paper, we focus on the design of low complexity hybrid analog/di...
While end-to-end neural machine translation (NMT) has achieved notable
s...
While end-to-end neural machine translation (NMT) has made remarkable
pr...