Catastrophic forgetting remains a critical challenge in the field of
con...
The high-density data storage technology aims to design high-capacity st...
Fast-growing scientific publications present challenges to the scientifi...
Mathematical reasoning is regarded as a necessary ability for Language M...
Recent advancements in pre-trained language models (PLMs) have demonstra...
Chain-of-thought (CoT) prompting with large language models has proven
e...
The chain-of-though (CoT) prompting methods were successful in various
n...
Fine-tuning pre-trained language models for multiple tasks tends to be
e...
Distantly supervised named entity recognition (DS-NER) has been proposed...
In this paper, we give a new method answer to a recent conjecture propos...
Emotion recognition using Electroencephalogram (EEG) signals has emerged...
Fine-tuning pre-trained language models (PLMs), e.g., SciBERT, generally...
Real-world graphs are often dynamic and evolve over time. To trace the
e...
The potential impact of a paper is often quantified by how many citation...
Spider webs are incredible biological structures, comprising thin but st...
In this paper, we completely determine the number of solutions to Tr^q^2...
In the context of large samples, a small number of individuals might spo...
User-generated content (UGC) live videos are often bothered by various
d...
Computer graphics images (CGIs) are artificially generated by means of
c...
Understanding and modelling the performance of neural architectures is k...
Currently, great numbers of efforts have been put into improving the
eff...
Let r≥ 3 be any positive integer which is relatively prime to p and
q^2≡...
Let r≥ 3 be a positive integer and 𝔽_q the finite field with
q elements....
In recent years, large amounts of effort have been put into pushing forw...
Multi-modal named entity recognition (NER) and relation extraction (RE) ...
Evaluating neural network performance is critical to deep neural network...
Predicting neural architecture performance is a challenging task and is
...
Keeping track of translational research is essential to evaluating the
p...
Fine-tuning a pre-trained language model via the contrastive learning
fr...
Few-shot relation extraction aims to learn to identify the relation betw...
Training a good deep learning model requires substantial data and comput...
Using prompts to explore the knowledge contained within pre-trained lang...
We study the relation between the Galois group G of a linear
difference-...
Neural text ranking models have witnessed significant advancement and ar...
With the development of rendering techniques, computer graphics generate...
The 4K content can deliver a more immersive visual experience to consume...
The intelligent video surveillance system (IVSS) can automatically analy...
Point cloud is one of the most widely used digital formats of 3D models,...
To support the application scenarios where high-resolution (HR) images a...
Facial semantic guidance (facial landmarks, facial parsing maps, facial
...
Semi-Supervised Learning (SSL) has advanced classification tasks by inpu...
Although self-attention based models such as Transformers have achieved
...
Quality assessment for User Generated Content (UGC) videos plays an impo...
In extending fast digital clock synchronization to the bounded-delay mod...
Solving math word problems requires deductive reasoning over the quantit...
For reaching dependable high-precision clock synchronization (CS) upon I...
Robust pulse synchronization is fundamental in constructing reliable
syn...
For reaching efficient deterministic synchronous Byzantine agreement upo...
The MultiCoNER shared task aims at detecting semantically ambiguous and
...
Neural architecture search automates neural network design and has achie...