Summary of Lapis: Language Model-augmented Police Investigation System, by Heedou Kim et al.
LAPIS: Language Model-Augmented Police Investigation System
by Heedou Kim, Dain Kim, Jiwoo Lee, Chanwoong Yoon, Donghee Choi, Mogan Gim, Jaewoo Kang
First submitted to arxiv on: 19 Jul 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Computers and Society (cs.CY)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary LAPIS (Language Model Augmented Police Investigation System) is an AI-assisted criminal investigation system that provides prompt yet precise legal counsel for police officers. This system utilizes a finetuned Korean language model, trained on a dataset constructed with manual curation efforts by domain experts. The resulting model integrates crime investigation knowledgebase retrieval and is capable of generating reliable legal guidance for police officers. Experimental results show LAPIS outperforms the proprietary GPT-4 model in this task. Furthermore, qualitative analysis reveals LAPIS’ ability to reason legally correct conclusions from premises. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Imagine having a super smart computer assistant that helps police officers make the right decisions during investigations. This AI system is called LAPIS and it’s designed to give police officers fast but accurate legal advice. To train this system, experts created a special dataset and added human expertise to make sure it’s really good at understanding crime investigation legal rules. LAPIS can even outdo other top-notch AI models in providing reliable guidance for police officers. This technology has the potential to revolutionize how investigations are done. |
Keywords
» Artificial intelligence » Gpt » Language model » Prompt
