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IEEE/ICACT20260145 Slide.05        [Big Slide]	Oral Presentation
	To deal with these issues, we rethink extractive summarization from an efficiency-first perspective.​ The core idea is simple. We focus on sentence selection, and treat it as a multi-objective optimization problem.​ We use a meta-heuristic algorithm, NSGA-II, together with simple and interpretable features, such as TF–ISF and sentence position.​ This allows us to balance relevance and redundancy efficiently.​ I will explain the details of this design in the following method section.​

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