Molecule discovery serves as a cornerstone in numerous scientific domain...
The application of Large Language Models (LLMs) to the medical domain ha...
Large Language Models (LLMs) have demonstrated remarkable success in div...
Prompt-based classification adapts tasks to a cloze question format util...
Pre-trained models have achieved success in Chinese Short Text Matching ...
Decoding text stimuli from cognitive signals (e.g. fMRI) enhances our
un...
Large Language Models (LLMs), such as the LLaMA model, have demonstrated...
As a novel approach to tuning pre-trained models, prompt tuning involves...
Prompt-based fine-tuning for pre-trained models has proven effective for...
Knowledge Graph Completion has been widely studied recently to complete
...
Many recent works indicate that the deep neural networks tend to take da...
Currently, there is a rapidly increasing need for high-quality biomedica...
Intent detection and slot filling are two closely related tasks for buil...
Intent detection and slot filling are two main tasks for building a spok...
Semantic text matching, which matches a target text to a source text, is...
Effective biomedical literature retrieval (BLR) plays a central role in
...
Distant supervision for relation extraction heavily suffers from the wro...
State-of-the-art studies have demonstrated the superiority of joint mode...
This paper presents details of our winning solutions to the task IV of N...