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README.md
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## Results
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<div style="
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<img src="./win_rate_zero.png" class="result"
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width="45%" />
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</div>
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We propose evaluating LLMs across four scenarios capturing various code editing capabilities, namely code debug, code translate, code polish, and code requirement switch.The figure in left depicts various model performances across the four scenarios available in CodeEditorBench\_Plus in a radial plot – highlighting how relative differences across models change across the scenarios. We also give the Performance of open-source and closed-source models on CodeEditorBench\_Plus in zero-shot evaluated through win\_rate in the right figure.
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## Results
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<div style="display: flex; justify-content: space-around; align-items: center;">
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<img src="Models_Zero_Shot.png" alt="First Image Description" style="width: 48%;" />
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<img src="win_rate_zero.png" alt="Second Image Description" style="width: 48%;" />
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</div>
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We propose evaluating LLMs across four scenarios capturing various code editing capabilities, namely code debug, code translate, code polish, and code requirement switch.The figure in left depicts various model performances across the four scenarios available in CodeEditorBench\_Plus in a radial plot – highlighting how relative differences across models change across the scenarios. We also give the Performance of open-source and closed-source models on CodeEditorBench\_Plus in zero-shot evaluated through win\_rate in the right figure.
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