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IEEE/ICACT20260145 Slide.16        [Big Slide]	Oral Presentation
	Since NSGA2 excels at coverage and LM-baselines are good at semantics, we combined them to see if we could get even better results.​ Table 2 shows the performance of our Ensemble strategy. The first row, NSGA2 with BERT, achieves a ROUGE-1 score of 0.351. This is the highest score in our experiments, significantly surpassing both the standalone NSGA2 and the LM-based methods.​ This result proves that the two approaches are complementary.​ ​

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