Papers with small-scale tests

1 papers
TRACE: Evaluating Execution Efficiency of LLM-Based Code Translation (2026.acl-long)

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Challenge: Large Language Models (LLMs) have improved the functional correctness of code translation, but execution efficiency remains overlooked.
Approach: They propose a benchmark to explicitly assess execution efficiency in LLM-translated code.
Outcome: The proposed benchmark identifies that execution efficiency is an essential dimension of code translation . the results highlight that correctness and efficiency are often misaligned .

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