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             understand LLM coding ability through a diverse set of benchmarks and leaderboards, such as:
         </p>
         <ul>
-            <li><a href="https://evalplus.github.io/leaderboard.html" target="_blank">EvalPlus Leaderboard</a></li>
             <li><a href="https://huggingface.co/spaces/bigcode/bigcode-models-leaderboard" target="_blank">Big Code Models Leaderboard</a></li>
-            <li><a href="https://github.com/amazon-science/cceval" target="_blank">CrossCodeEval</a></li>
-            <li><a href="https://evo-eval.github.io" target="_blank">Evo-Eval</a></li>
-            <li><a href="https://crux-eval.github.io/leaderboard.html" target="_blank">CRUXEval</a></li>
             <li><a href="https://huggingface.co/spaces/lmsys/chatbot-arena-leaderboard" target="_blank">Chatbot Arena Leaderboard</a></li>
             <li><a href="https://fudanselab-classeval.github.io/leaderboard.html" target="_blank">ClassEval</a></li>
             <li><a href="https://bigcode-bench.github.io" target="_blank">Code Lingua</a></li>
+            <li><a href="https://github.com/amazon-science/cceval" target="_blank">CrossCodeEval</a></li>
+            <li><a href="https://crux-eval.github.io/leaderboard.html" target="_blank">CRUXEval</a></li>
+            <li><a href="https://evalplus.github.io/leaderboard.html" target="_blank">EvalPlus Leaderboard</a></li>
+            <li><a href="https://evo-eval.github.io" target="_blank">Evo-Eval</a></li>
             <li><a href="https://github.com/01-ai/HumanEval.jl" target="_blank">HumanEval.jl - Julia version HumanEval with EvalPlus test cases</a></li>
             <li><a href="https://infi-coder.github.io/infibench/" target="_blank">InfiBench</a></li>
             <li><a href="https://livecodebench.github.io/leaderboard.html" target="_blank">LiveCodeBench</a></li>