Helping Language Models Learn More: Multi-dimensional Task Prompt for Few-shot Tuning

no code implementations • 13 Dec 2023 • Jinta Weng, Jiarui Zhang, Yue Hu, Daidong Fa, Xiaofeng Xuand, Heyan Huang

In interaction with large language models, embedding more task-related information into prompts will make it easier to stimulate knowledge embedded in large language models.

Language Modelling Large Language Model +1

ConsPrompt: Exploiting Contrastive Samples for Fewshot Prompt Learning

no code implementations • 8 Nov 2022 • Jinta Weng, Yifan Deng, d Donghao Li, Hao You, Yue Hu, Heyan Huang

The prompt has become an effective linguistic tool for utilizing pre-trained language models.

Contrastive Learning Few-Shot Learning

STPrompt: Semantic-guided and Task-driven prompts for Effective Few-shot Classification

no code implementations • 29 Oct 2022 • Jinta Weng, Yue Hu, Jing Qiu, Heyan Huan

The effectiveness of prompt learning has been demonstrated in different pre-trained language models.

Few-Shot Learning Few-Shot Text Classification +1

Construction and Application of Teaching System Based on Crowdsourcing Knowledge Graph

no code implementations • 18 Oct 2020 • Jinta Weng, Ying Gao, Jing Qiu, Guozhu Ding, Huanqin Zheng

Through the combination of crowdsourcing knowledge graph and teaching system, research methods to generate knowledge graph and its applications.