The problem of real-time remote tracking and reconstruction of a two-sta...
We consider a random access network consisting of source-destination pai...
In Wireless Networked Control Systems (WNCSs), the feedback control loop...
We investigate the performance of a random access network consisting of
...
In executable task-oriented semantic parsing, the system aims to transla...
Intent classification (IC) plays an important role in task-oriented dial...
The problem of goal-oriented semantic filtering and timely source coding...
Transformer models are foundational to natural language processing (NLP)...
We consider the minimization of the cost of actuation error under resour...
We propose a frame slotted ALOHA (FSA)-based protocol for a random acces...
We consider a source monitoring a stochastic process with a transmitter ...
In this paper, we study a model relevant to semantics-aware goal-oriente...
In this work, we study the real-time tracking and reconstruction of an
i...
Conventional text style transfer approaches for natural language focus o...
In this work, we study the problem of real-time tracking and reconstruct...
Backward compatibility of model predictions is a desired property when
u...
Functionality and dialogue experience are two important factors of
task-...
This paper considers a communication system where a source sends
time-se...
Document-level machine translation leverages inter-sentence dependencies...
In this paper, a network comprising wireless devices equipped with buffe...
Intelligent reflecting surface (IRS) and device-to-device (D2D) communic...
We study the average Age of Information (AoI) and peak AoI (PAoI) of a
d...
We consider a communication system in which the destination receives sta...
With its growing number of deployed devices and applications, the Intern...
In this paper, we consider a smart factory scenario where a set of actua...
This paper explores the role of multiple antennas in mitigating jamming
...
Transformer architectures have achieved state-of-the-art results on a va...
In 5G and beyond systems, the notion of latency gets a great momentum in...
Representation learning for text via pretraining a language model on a l...
With the advent of 5G technology, the notion of latency got a prominent ...
In this work, we consider the problem of jointly minimizing the average ...
Transformers have outperformed recurrent neural networks (RNNs) in natur...
Transformers are state-of-the-art models for a variety of sequence model...
Internet of Things (IoT) with its growing number of deployed devices and...
This paper considers the motion energy minimization problem for a wirele...
Future wireless networks will be characterized by heterogeneous traffic
...
This paper considers the joint optimization of trajectory and beamformin...
Text autoencoders are commonly used for conditional generation tasks suc...
Text alignment finds application in tasks such as citation recommendatio...
Language models have emerged as a central component across NLP, and a gr...
Wireless connectivity has traditionally been regarded as a content-agnos...
We consider a system where multiple sensors communicate timely informati...
Transformers achieve remarkable performance in several tasks but due to ...
State-of-the-art neural machine translation models generate outputs
auto...
In this paper, we investigate an amplify-and-forward (AF) based two-way
...
This paper characterizes the structure of the Age of Information
(AoI)-o...
In this work, we combine the two notions of timely delivery of informati...
In this paper, we consider a cellular-based Internet of things (IoT) net...
The massive exploitation of robots for industry 4.0 needs advanced wirel...
We consider the problem of minimizing the time average cost of sampling ...