Conference Paper/Proceeding/Abstract 8 views
Can Large Language Models Reliably Extract Jurisdictional Variations? An Empirical Study on UK Statutory Texts
Safia Kanwal,
Livio Robaldo 
,
Hafsa Dar,
Davide Liga,
kuuku Anim
,
Hafsa Dar,
Davide Liga,
kuuku Anim
2025 International Conference on Frontiers of Information Technology (FIT), Pages: 1 - 6
Swansea University Authors:
Safia Kanwal, Livio Robaldo , kuuku Anim
Full text not available from this repository: check for access using links below.
DOI (Published version): 10.1109/fit67061.2025.11333744
Abstract
Can Large Language Models Reliably Extract Jurisdictional Variations? An Empirical Study on UK Statutory Texts
| Published in: | 2025 International Conference on Frontiers of Information Technology (FIT) |
|---|---|
| ISBN: | 979-8-3315-7481-9 979-8-3315-7480-2 |
| ISSN: | 2334-3141 2473-7569 |
| Published: |
IEEE
2026
|
| Online Access: |
Check full text
|
| URI: | https://cronfa.swan.ac.uk/Record/cronfa70880 |
| College: |
Faculty of Humanities and Social Sciences |
|---|---|
| Funders: |
Innovate UK project 10106412: "Odyssey - Opening the National Archives Legal Data to AI for Access to Justice (A2J)" |
| Start Page: |
1 |
| End Page: |
6 |