Automatic Job Safety Report Generation using RAG-based LLMs-Reference-Cited by-同舟云学术

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Automatic Job Safety Report Generation using RAG-based LLMs

Published:2024-06-30 Issue: Volume:abs/1605.02592 Page:1-8
ISSN:
Container-title:2024 International Joint Conference on Neural Networks (IJCNN)
language:
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Author:

Bernardi Mario Luca¹,Cimitile Marta²,Pecori Riccardo³

Affiliation:

1. University of Sannio,Department of Engineering,Benevento,Italy

2. Unitelma Sapienza University,Department of Law and Digital Society,Rome,Italy

3. eCampus University & National Research Council of Italy,SMARTEST Research Centre & Institute of Materials for Electronics and Magnetism,Parma,Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10649807/10649898/10651320.pdf?arnumber=10651320

Reference28 articles.

1. Red-teaming large language models using chain of utterances for safety-alignment;Bhardwaj,2023

2. Safety-tuned llamas: Lessons from improving the safety of large language models that follow instructions;Bianchi,2023

3. Palm: Scaling language modeling with pathways;Chowdhery,2022

4. A Comparison of Rule-Based and Machine Learning Models for Classification of Human Factors Aviation Safety Event Reports

5. A survey on in-context learning;Dong,2023

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