Conference Paper/Proceeding/Abstract 291 views 54 downloads
Can Large Language Models Reliably Extract Jurisdictional Variations? An Empirical Study on UK Statutory Texts
Livio Robaldo 
,
Safia Kanwal,
Hafsa Dar,
Davide Liga,
kuuku Anim
,
Safia Kanwal,
Hafsa Dar,
Davide Liga,
kuuku Anim
Proc. of 22nd International Conference on Frontiers of Information Technology (FIT'25)
Swansea University Authors:
Livio Robaldo , Safia Kanwal, kuuku Anim
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Abstract
Can Large Language Models Reliably Extract Jurisdictional Variations? An Empirical Study on UK Statutory Texts
| Published in: | Proc. of 22nd International Conference on Frontiers of Information Technology (FIT'25) |
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| Published: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa70880 |
| College: |
Faculty of Humanities and Social Sciences |
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| Funders: |
Innovate UK project 10106412: "Odyssey - Opening the National Archives Legal Data to AI for Access to Justice (A2J)" |