Causal Representation Enhances Cross-Domain Named Entity Recognition in Large Language Models
Large language models cross-domain named entity recognition task in the face of the scarcity of large language labeled data in a specific domain, due to the entity bias arising from the variation of entity information between... | Find, read and cite all the research you need on Tech Science Press
Authors
- Jiahao Wu (ORCID: https://orcid.org/0000-0002-4085-5295)
- Jie Liu (ORCID: https://orcid.org/0000-0001-8204-424X)
- Xiaoming Liu (ORCID: https://orcid.org/0009-0002-7177-5500)
- Jinzhong Xu (ORCID: https://orcid.org/0000-0003-1870-6178)
- Guan Yang (ORCID: https://orcid.org/0000-0002-1659-2819)
Publication Details
- Journal
- Computers, materials & continua/Computers, materials & continua (Print)
- Published
- 2025-01-01
- DOI
- https://doi.org/10.32604/cmc.2025.061359
- Primary Topic
- Topic Modeling
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China