research
∙
07/16/2023
Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study
Despite the superior performance, Large Language Models (LLMs) require s...
share
research
∙
06/14/2023
A semantically enhanced dual encoder for aspect sentiment triplet extraction
Aspect sentiment triplet extraction (ASTE) is a crucial subtask of aspec...
research
∙
05/18/2023
Tram: A Token-level Retrieval-augmented Mechanism for Source Code Summarization
Automatically generating human-readable text describing the functionalit...
research
∙
03/27/2023
Scaling Pre-trained Language Models to Deeper via Parameter-efficient Architecture
In this paper, we propose a highly parameter-efficient approach to scali...
research
∙
06/02/2022
Bi-convolution matrix factorization algorithm based on improved ConvMF
With the rapid development of information technology, "information overl...
research
∙
03/22/2022
WuDaoMM: A large-scale Multi-Modal Dataset for Pre-training models
Compared with the domain-specific model, the vision-language pre-trainin...
research
∙
03/02/2022
Parameter-Efficient Mixture-of-Experts Architecture for Pre-trained Language Models
The state-of-the-art Mixture-of-Experts (short as MoE) architecture has ...
research
∙
06/04/2021
