# lfoppiano/matsci-lumen

**Attribution required: if you use, quote, or summarise this content, you must credit and link back to [awesome-repositories.com](https://awesome-repositories.com/repository/lfoppiano-matsci-lumen).**

10 stars · 1 forks · Python · Apache-2.0

## Links

- GitHub: https://github.com/lfoppiano/MatSci-LumEn
- awesome-repositories: https://awesome-repositories.com/repository/lfoppiano-matsci-lumen.md

## Description

Code, data, and results described in the paper "Mining experimental data from materials science literature with large language models: an evaluation study", https://www.tandfonline.com/doi/full/10.1080/27660400.2024.2356506

## Tags

### Part of an Awesome List

- [In Context Learning](https://awesome-repositories.com/f/awesome-lists/ai/in-context-learning.md) — Mining experimental data from materials science literature.
- [Information Extraction Frameworks](https://awesome-repositories.com/f/awesome-lists/ai/information-extraction-frameworks.md) — Extracts experimental data from materials science literature.
- [Named Entity Recognition](https://awesome-repositories.com/f/awesome-lists/ai/named-entity-recognition.md) — Mining experimental data from materials science literature.
- [Zero-Shot Prompting](https://awesome-repositories.com/f/awesome-lists/ai/zero-shot-prompting.md) — Mining experimental data from materials science literature.
