3 papers
cs.CL2023
Helping Language Models Learn More: Multi-dimensional Task Prompt for Few-shot Tuning
Jinta Weng, Jiarui Zhang, Yue Hu +3
Large language models (LLMs) can be used as accessible and intelligent chatbots by constructing natural language queries and directly inputting the prompt into the large language m…
cs.CL2023
S2F-NER: Exploring Sequence-to-Forest Generation for Complex Entity Recognition
Yongxiu Xu, Heyan Huang, Yue Hu
Named Entity Recognition (NER) remains challenging due to the complex entities, like nested, overlapping, and discontinuous entities. Existing approaches, such as sequence-to-seque…
cs.CL2022
ConsPrompt: Exploiting Contrastive Samples for Fewshot Prompt Learning
Jinta Weng, Yifan Deng, d Donghao Li +3
The prompt has become an effective linguistic tool for utilizing pre-trained language models. However, in few-shot scenarios, subtle changes in the prompt design always make the re…