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@@ -109,16 +109,6 @@ Contains the computed evaluation metric scores for each model-language combinati
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## Notes
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- Checkpoints were **reused** from the original authors' repositories; no retraining was performed for MCMD-NT.
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- No random seeds or repeated runs were documented in the original experiment.
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- Results in this repository correspond to the **reproduction attempt** of the original reported values.
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- MCMD-NT shares the same five languages as MCMD but contains newer commits, enabling a temporal generalization assessment.
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- Discrepancies between reproduced and reported results are documented in the thesis.
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## References
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- Wu et al. (2025). *An Empirical Study on Commit Message Generation with Large Language Models via In-Context Learning.* arXiv:2502.18904.
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## References
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- Wu et al. (2025). *An Empirical Study on Commit Message Generation with Large Language Models via In-Context Learning.* arXiv:2502.18904.
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