"Empirical Study of LLM Fine-Tuning for Text Classification in Legal ..."

Fusheng Wei et al. (2023)

> Home

Details and statistics

DOI: 10.1109/BIGDATA59044.2023.10386911

access: closed

type: Conference or Workshop Paper

metadata version: 2024-07-17

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/bigdataconf/WeiKHZDYMQ23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/bigdataconf/WeiKHZDYMQ23
Fusheng Wei, Robert Keeling, Nathaniel Huber-Fliflet, Jianping Zhang, Adam Dabrowski, Jingchao Yang, Qiang Mao, Han Qin:
Empirical Study of LLM Fine-Tuning for Text Classification in Legal Document Review. IEEE Big Data 2023: 2786-2792

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.