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TITLE = '<h1 align="center" id="space-title">Open Multilingual LLM Evaluation Leaderboard</h1>' | |
INTRO_TEXT = f""" | |
## About | |
This leaderboard tracks progress and ranks performance of large language models (LLMs) developed for different languages, | |
emphasizing on non-English languages to democratize benefits of LLMs to broader society. | |
Our current leaderboard provides evaluation data for 29 languages, i.e., | |
Arabic, Armenian, Basque, Bengali, Catalan, Chinese, Croatian, Danish, Dutch, | |
French, German, Gujarati, Hindi, Hungarian, Indonesian, Italian, Kannada, Malayalam, | |
Marathi, Nepali, Portuguese, Romanian, Russian, Serbian, Slovak, Spanish, Swedish, | |
Tamil, Telugu, Ukrainian, and Vietnamese, that will be expanded along the way. | |
Both multilingual and language-specific LLMs are welcome in this leaderboard. | |
We currently evaluate models over four benchmarks: | |
- <a href="https://arxiv.org/abs/1803.05457" target="_blank"> AI2 Reasoning Challenge </a> (25-shot) | |
- <a href="https://arxiv.org/abs/1905.07830" target="_blank"> HellaSwag </a> (0-shot) | |
- <a href="https://arxiv.org/abs/2009.03300" target="_blank"> MMLU </a> (25-shot) | |
- <a href="https://arxiv.org/abs/2109.07958" target="_blank"> TruthfulQA </a> (0-shot) | |
The evaluation data was translated into these languages using ChatGPT (gpt-35-turbo). | |
""" | |
HOW_TO = f""" | |
## How to list your model performance on this leaderboard: | |
Run the evaluation of your model using this repo: <a href="https://github.com/nlp-uoregon/mlmm-evaluation" target="_blank">https://github.com/nlp-uoregon/mlmm-evaluation</a>. | |
And then, push the evaluation log and make a pull request. | |
""" | |
CREDIT = f""" | |
## Credit | |
To make this website, we use the following resources: | |
- Datasets (AI2_ARC, HellaSwag, MMLU, TruthfulQA) | |
- Funding and GPU access (Adobe Research) | |
- Evaluation code (EleutherAI's lm_evaluation_harness repo) | |
- Leaderboard code (Huggingface4's open_llm_leaderboard repo) | |
""" | |
CITATION = f""" | |
## Citation | |
``` | |
@misc{{lai2023openllmbenchmark, | |
author = {{Viet Lai and Nghia Trung Ngo and Amir Pouran Ben Veyseh and Franck Dernoncourt and Thien Huu Nguyen}}, | |
title={{Open Multilingual LLM Evaluation Leaderboard}}, | |
year={{2023}} | |
}} | |
``` | |
""" | |