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evalperf.html

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</a>
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</div>
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<div class="container d-flex flex-row flex-nowrap fs-5">
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<div class="container d-flex flex-column align-items-center">
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<div>
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<p>🚀 LLM-oriented code efficiency evaluation requires:</p>
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a more detailed overview!
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</div>
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<div class="col-md-12 overflow-auto">
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<pre style="padding-top: 0; padding-bottom: 0;">
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<code class="language-bash">
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pip install --upgrade "evalplus[perf,vllm] @ git+https://github.com/evalplus/evalplus"
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# Or `pip install "evalplus[perf,vllm]" --upgrade` for the latest stable release
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evalplus.evalperf --model "ise-uiuc/Magicoder-S-DS-6.7B" \
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--backend vllm</code>
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</pre>
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</div>
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<table id="leaderboard"
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class="table table-responsive table-striped table-bordered flex-shrink-1 border border-5">
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</table>
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<h2 id="sponsor" class="text-nowrap mt-5">🖊️ Citation</h2>
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<div class="col-md-12 overflow-auto">
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<pre style="padding-top: 0; padding-bottom: 0;">
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<code class="language-bibtex">
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@inproceedings{evalperf,
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title = {Evaluating Language Models for Efficient Code Generation},
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url = {https://openreview.net/forum?id=IBCBMeAhmC},
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}</code>
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</pre>
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</div>
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<h2 id="sponsor" class="text-nowrap mt-5">🤗 Acknowledgment</h2>
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<p>
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We thank

leaderboard.html

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</div>
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<div id="notes">
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<h3 id="sponsor" class="text-nowrap mt-5">🖊️ Citation</h3>
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<code class="language-bibtex">
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@inproceedings{evalplus,
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title = {Is Your Code Generated by Chat{GPT} Really Correct? Rigorous Evaluation of Large Language Models for Code Generation},
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author = {Liu, Jiawei and Xia, Chunqiu Steven and Wang, Yuyao and Zhang, Lingming},
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booktitle = {Thirty-seventh Conference on Neural Information Processing Systems},
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year = {2023},
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url = {https://openreview.net/forum?id=1qvx610Cu7},
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}</code>
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</pre>
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<h3>🤗 More Leaderboards</h3>
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In addition to EvalPlus leaderboards, it is recommended to
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comprehensively understand LLM coding ability through a diverse set of

repoqa.html

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</ul>
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<h2 id="sponsor" class="text-nowrap mt-5">🖊️ Citation</h2>
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<div class="col-md-12 overflow-auto">
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<pre style="padding-top: 0; padding-bottom: 0;">
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<code class="language-bibtex">
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@inproceedings{repoqa,
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title={Repo{QA}: Evaluating Long Context Code Understanding},
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url={https://openreview.net/forum?id=hK9YSrFuGf}
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}</code>
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</pre>
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</div>
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<h2 id="sponsor" class="text-nowrap mt-5">🤗 Acknowledgment</h2>
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<p>
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Part of the compute is generously provided by <a href="https://deepmind.google/">Google DeepMind</a>

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