We propose DISC-LawLLM, an intelligent legal system utilizing large lang...
Vehicles in platoons need to process many tasks to support various real-...
Self-supervised pre-trained models such as Wav2vec2, Hubert, and WavLM h...
Multilingual self-supervised speech representation models have greatly
e...
Event detection (ED) is aimed to identify the key trigger words in
unstr...
In the traditional vehicular network, computing tasks generated by the
v...
Recent knowledge enhanced pre-trained language models have shown remarka...
Multi-hop reasoning requires aggregating multiple documents to answer a
...
Vehicular networks enable vehicles support real-time vehicular applicati...
Enhancing existing transmission lines is a useful tool to combat transmi...
Existing keyframe-based motion synthesis mainly focuses on the generatio...
Multi-modal pre-training and knowledge discovery are two important resea...
Recent years have witnessed impressive advances in challenging multi-hop...
Matching model is essential for Image-Text Retrieval framework. Existing...
Existing research for image text retrieval mainly relies on sentence-lev...
Existing system dealing with online complaint provides a final decision
...
Existing research for image captioning usually represents an image using...
Matrix factorization is an important representation learning algorithm, ...
Transformer is an attention-based neural network, which consists of two
...
Commonsense generation aims at generating plausible everyday scenario
de...
Compressive sensing is an impressive approach for fast MRI. It aims at
r...
Cloud services have recently started undergoing a major shift from monol...