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from pathlib import Path | |
banner_url = "https://huggingface.co/spaces/WildEval/WildBench-Leaderboard/resolve/main/%E2%80%8Eleaderboard_logo_v2.png" # the same repo here. | |
BANNER = f'<div style="display: flex; justify-content: space-around;"><img src="{banner_url}" alt="Banner" style="width: 40vw; min-width: 300px; max-width: 600px;"> </div>' | |
INTRODUCTION_TEXT= """ | |
# OS Benchmark (Evaluating LLMs with OS and MCQ) | |
π [Website](https://github.com/VILA-Lab/Open-LLM-Leaderboard) | π» [GitHub](https://github.com/VILA-Lab/Open-LLM-Leaderboard) | π [Paper](#) | π¦ [X1](https://x.com/open_llm_lb) | π¦ [X2](https://x.com/szq0214) | |
> ### Open-LLM-Leaderboard,for evaluating large language models (LLMs) by transitioning from multiple-choice questions (MCQs) to open-style questions. | |
This approach addresses the inherent biases and limitations of MCQs, such as selection bias and the effect of random guessing. By utilizing open-style questions, | |
the framework aims to provide a more accurate assessment of LLMs' abilities across various benchmarks and ensure that the evaluation reflects true capabilities, | |
particularly in terms of language understanding and reasoning. | |
""" | |
CITATION_TEXT = """@article{, | |
title={Open-LLM-Leaderboard: From Multi-choice to Open-style Questions for LLMs Evaluation, Benchmark, and Arena}, | |
author={Aidar Myrzakhan, Sondos Mahmoud Bsharat, Zhiqiang Shen}, | |
journal={arXiv preprint }, | |
year={2024}, | |
} | |
""" |