2 papers
cs.IR2025
SEARA: An Automated Approach for Obtaining Optimal Retrievers
Zou Yuheng, Wang Yiran, Tian Yuzhu +2
Retrieval-Augmented Generation (RAG) is a core approach for enhancing Large Language Models (LLMs), where the effectiveness of the retriever largely determines the overall response…
cs.CL2025
Beyond Quality: Unlocking Diversity in Ad Headline Generation with Large Language Models
Chang Wang, Siyu Yan, Depeng Yuan +8
The generation of ad headlines plays a vital role in modern advertising, where both quality and diversity are essential to engage a broad range of audience segments. Current approa…