Evaluating open-domain dialogue systems is challenging for reasons such ...
Deep neural networks are vulnerable to adversarial examples, posing a th...
Recent studies have shown that dense retrieval models, lacking dedicated...
Explanations in conventional recommender systems have demonstrated benef...
Recent years have seen increasing concerns about the private inference o...
Recent years have seen increasing concerns about the unsafe response
gen...
Despite the remarkable recent advances in language models, they still
st...
Different with conventional reconfigurable intelligent surface (RIS),
si...
Modern perception systems of autonomous vehicles are known to be sensiti...
Modern noise-cancelling headphones have significantly improved users'
au...
The Light Field (LF) deblurring task is a challenging problem as the blu...
Existing self-supervised learning methods based on contrastive learning ...
Multi-action dialog policy, which generates multiple atomic dialog actio...
Analysis of X-ray images is one of the main tools to diagnose breast can...
Saliency Prediction aims to predict the attention distribution of human ...
We present an extensible user simulation toolkit to facilitate automatic...
Towards human-like dialogue systems, current emotional dialogue approach...
In this paper, we study the Helmholtz transmission eigenvalue problem fo...
In this paper, we study the construction of low-degree robust finite ele...
Submodular maximization is one of the central topics in combinatorial
op...
Training a quantum machine learning model generally requires a large lab...
In this paper, a unified family, for any n⩾ 2 and 1⩽
k⩽ n-1, of nonconfo...
Variational quantum algorithms (VQAs) have emerged as a promising near-t...
In this paper, a unified family, for n⩾2 and 1⩽ k
⩽ n-1, of finite eleme...
Deep learning based semi-supervised learning (SSL) methods have achieved...
This paper concerns the discretizations in pair of adjoint operators bet...
The Light Field Raindrop Removal (LFRR) aims to restore the background a...
User simulation has been a cost-effective technique for evaluating
conve...
Multi-action dialog policy (MADP), which generates multiple atomic dialo...
Task-oriented dialogue systems (TDSs) are assessed mainly in an offline
...
A large amount of information is stored in data tables. Users can search...
Existing permutation-invariant methods can be divided into two categorie...
Automatic detection of click-bait and incongruent news headlines is cruc...
In this paper, we propose a finite element pair for incompressible Stoke...
There is increasing demand for specialized hardware for training deep ne...
Hybrid data combining both tabular and textual content (e.g., financial
...
Tables on the Web contain a vast amount of knowledge in a structured for...
Evaluation is crucial in the development process of task-oriented dialog...
We describe the development, characteristics and availability of a test
...
In this paper, a new P_2-P_1 finite element pair is proposed for
incompr...
The paper presents a finite element scheme for the elastic transmission
...
Contract consistency is important in ensuring the legal validity of the
...
The prediction of physicochemical properties from molecular structures i...
Lidar odometry (LO) is a key technology in numerous reliable and accurat...
Conversational recommender systems support users in accomplishing
recomm...
Light field cameras have been proved to be powerful tools for 3D
reconst...
Category systems are central components of knowledge bases, as they prov...
In this paper, a piecewise quadratic nonconforming finite element method...
Conversational information access is an emerging research area. Currentl...
HD (High Definition) map based on 3D lidar plays a vital role in autonom...