The rapid advancements in artificial intelligence (AI) have led to a gro...
Cell-free communication has the potential to significantly improve grant...
Fine-grained, span-level human evaluation has emerged as a reliable and
...
Reconfigurable intelligent surface (RIS) is regarded as an important ena...
Over-the-air computation (AirComp) has recently been identified as a
pro...
Persistent memory (PM) technologies have inspired a wide range of PM-bas...
Research and application have used human-AI teaming (HAT) as a new parad...
Perching is a promising solution for a small unmanned aerial vehicle (UA...
This paper presents our 2nd place solution for the NuPlan Challenge 2023...
Federated edge learning (FEEL) enables privacy-preserving model training...
In this work, we investigate the potential of improving multi-task train...
Large pre-trained vision-language models have shown great prominence in
...
With contemporary data sets becoming too large to analyze the data direc...
In this paper, we study the task of instructional dialogue and focus on ...
Recent advancements in high-quality, large-scale English resources have
...
Due to the dynamics of wireless environment and limited bandwidth, wirel...
Style is used to convey authors' intentions and attitudes. Despite the
s...
We present ReadMe++, a massively multi-domain multilingual dataset for
a...
Large language models (e.g., GPT-3.5) are uniquely capable of producing
...
Are language models culturally biased? It is important that language mod...
Automated text simplification aims to produce simple versions of complex...
Randomly masking text spans in ordinary texts in the pre-training stage
...
To facilitate the deployment of digital twins in Metaverse, the paradigm...
In this paper, we consider the robust beamforming design in a reconfigur...
Fine-tuning large models is highly effective, however, inference using t...
Deep learning (DL)-based channel state information (CSI) feedback method...
Virtual try-on of eyeglasses involves placing eyeglasses of different sh...
Supervised crowd counting relies heavily on costly manual labeling, whic...
Visualizations have played a crucial role in helping quantum computing u...
Inevitable domain and task discrepancies in real-world scenarios can imp...
Beamforming design has been widely investigated for integrated sensing a...
The field of user experience (UX) based on the design philosophy of
"use...
Mining the spatial and temporal correlation of wind farm output data is
...
Recently, graph-based models designed for downstream tasks have signific...
In this paper, the performance of a secure massive multiple-input
multip...
This letter investigates the secure communication in a reconfigurable
in...
In this chapter, we review and discuss the transformation of AI technolo...
Training learnable metrics using modern language models has recently eme...
We present a human-in-the-loop evaluation framework for fact-checking no...
People have shown that in-network computation (INC) significantly boosts...
Translating training data into many languages has emerged as a practical...
To fully exploit the additional dimension brought by reconfigurable
inte...
Beamforming design has been widely investigated for integrated sensing a...
We present Stanceosaurus, a new corpus of 28,033 tweets in English, Hind...
Scientific publications are the primary means to communicate research
di...
The purpose of multi-task reinforcement learning (MTRL) is to train a si...
Due to the absence of a library for non-linear function evaluation, so-c...
This paper addresses the quality issues in existing Twitter-based paraph...
Accurate self and relative state estimation are the critical preconditio...
Our recent research shows that the design philosophy of human factors
re...