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Low-Resource Text Classification via Cross-lingual Language Model Fine-tuning
There are major challenges of low-resource agglutinative text classification the lack of labeled data in a target domain and morphologic diversity of derivations in language structures.
A Survey on Efficient Inference for Large Language Models
This paper presents a comprehensive survey of the existing literature on efficient LLM inference.
FlashDecoding++: Faster Large Language Model Inference on GPUs
A single and static dataflow may lead to a 50. 25% performance loss for GEMMs of different shapes in LLM inference.
Exploring Multimodal Sentiment Analysis via CBAM Attention and Double-layer BiLSTM Architecture
To remove redundant information and make the network pay more attention to the correlation between image and text features, CNN and CBAM attention are added after splicing text features and picture features, to improve the feature representation ability.
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