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Dongyang Zeng

1 accepted papers

2025

EAReranker: Efficient Embedding Adequacy Assessment for Retrieval Augmented Generation

NeurIPS 2025poster

With the increasing adoption of Retrieval-Augmented Generation (RAG) systems for knowledge-intensive tasks, ensuring the adequacy of retrieved documents has become critically important for generation quality. Traditional reranking approaches face three significant challenges: substantial computation…

Cited by 0SourceScholar