# Enhanced AI LLM-based Paper Review for CMS

- Institution: CERN
- Department: CERN openlab Summer Student Programme 2024
- Speaker: Annunziata Alvarez-Cascos Hervias
- Year: 2024
- Language: English
- Source: [CERN](https://videos.cern.ch/record/3013651)
- Licence: [CERN](http://copyright.web.cern.ch)
- Who can watch: Teens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

The project goal is to use AI to streamline the CMS paper peer review process by improving the standardization, readability, and overall efficiency of scientific papers, ultimately making the CMS-internal peer review process faster. We are developing an AI-driven solution using the open-source LLaMA Large Language Models (LLMs) and fine-tune them with the Parameter Efficient Fine-Tuning (PEFT) approach with over 1300 published LaTeX source-documents from the CMS experiment..

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## Lectures

1. [Enhanced AI LLM-based Paper Review for CMS](https://invisiblenetwork.ai/learn/cern/3013651/9f9026b3189c), 8 min (CERN's player)