LAPIS: Language Model-Augmented Police Investigation System

Fuente: arXiv
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Autori principali: Kim, Heedou, Kim, Dain, Lee, Jiwoo, Yoon, Chanwoong, Choi, Donghee, Gim, Mogan, Kang, Jaewoo
Natura: Preprint
Pubblicazione: 2024
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author Kim, Heedou
Kim, Dain
Lee, Jiwoo
Yoon, Chanwoong
Choi, Donghee
Gim, Mogan
Kang, Jaewoo
author_facet Kim, Heedou
Kim, Dain
Lee, Jiwoo
Yoon, Chanwoong
Choi, Donghee
Gim, Mogan
Kang, Jaewoo
contents Crime situations are race against time. An AI-assisted criminal investigation system, providing prompt but precise legal counsel is in need for police officers. We introduce LAPIS (Language Model Augmented Police Investigation System), an automated system that assists police officers to perform rational and legal investigative actions. We constructed a finetuning dataset and retrieval knowledgebase specialized in crime investigation legal reasoning task. We extended the dataset's quality by incorporating manual curation efforts done by a group of domain experts. We then finetuned the pretrained weights of a smaller Korean language model to the newly constructed dataset and integrated it with the crime investigation knowledgebase retrieval approach. Experimental results show LAPIS' potential in providing reliable legal guidance for police officers, even better than the proprietary GPT-4 model. Qualitative analysis on the rationales generated by LAPIS demonstrate the model's reasoning ability to leverage the premises and derive legally correct conclusions.
format Preprint
id arxiv_https___arxiv_org_abs_2407_20248
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle LAPIS: Language Model-Augmented Police Investigation System
Kim, Heedou
Kim, Dain
Lee, Jiwoo
Yoon, Chanwoong
Choi, Donghee
Gim, Mogan
Kang, Jaewoo
Computation and Language
Artificial Intelligence
Computers and Society
Crime situations are race against time. An AI-assisted criminal investigation system, providing prompt but precise legal counsel is in need for police officers. We introduce LAPIS (Language Model Augmented Police Investigation System), an automated system that assists police officers to perform rational and legal investigative actions. We constructed a finetuning dataset and retrieval knowledgebase specialized in crime investigation legal reasoning task. We extended the dataset's quality by incorporating manual curation efforts done by a group of domain experts. We then finetuned the pretrained weights of a smaller Korean language model to the newly constructed dataset and integrated it with the crime investigation knowledgebase retrieval approach. Experimental results show LAPIS' potential in providing reliable legal guidance for police officers, even better than the proprietary GPT-4 model. Qualitative analysis on the rationales generated by LAPIS demonstrate the model's reasoning ability to leverage the premises and derive legally correct conclusions.
title LAPIS: Language Model-Augmented Police Investigation System
topic Computation and Language
Artificial Intelligence
Computers and Society
url https://arxiv.org/abs/2407.20248