# GeoLLM

**Repository Path**: mmmz2/GeoLLM

## Basic Information

- **Project Name**: GeoLLM
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: gh-pages
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2024-08-07
- **Last Updated**: 2024-08-07

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# GeoLLM

This is the official repository for ["_GeoLLM: Extracting Geospatial Knowledge from Large Language Models_"](https://arxiv.org/abs/2310.06213) (ICLR 2024) and ["_Large Language Models are Geographically Biased_"](https://arxiv.org/abs/2402.02680).

Authors: 
[Rohin Manvi](https://www.linkedin.com/in/rohin-manvi-2a9226187/) <sup>1</sup>,
[Samar Khanna](https://samar-khanna.github.io), 
[Gengchen Mai](https://gengchenmai.github.io/),
[Marshall Burke](https://web.stanford.edu/~mburke/), 
[David B. Lobell](https://earth.stanford.edu/people/david-lobell#gs.5vndff), 
[Stefano Ermon](https://cs.stanford.edu/~ermon/).

<sub><sup>1</sup> Corresponding author, rohinm@cs.stanford.edu.</sub>

This is the branch for the GeoLLM project website.

## Citation
If you found GeoLLM helpful, please cite our papers (second paper enabled zero-shot predictions and evaluated biases):
```
@inproceedings{manvi2024geollm,
      title={Geo{LLM}: Extracting Geospatial Knowledge from Large Language Models},
      author={Rohin Manvi and Samar Khanna and Gengchen Mai and Marshall Burke and David B. Lobell and Stefano Ermon},
      booktitle={The Twelfth International Conference on Learning Representations},
      year={2024},
      url={https://openreview.net/forum?id=TqL2xBwXP3}
}

@misc{manvi2024large,
      title={Large Language Models are Geographically Biased}, 
      author={Rohin Manvi and Samar Khanna and Marshall Burke and David Lobell and Stefano Ermon},
      year={2024},
      eprint={2402.02680},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}
```