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Preprint Aug 2026

Tevatron-Elastic: A Unified Abstraction for Training Elastic Retrievers and Rerankers

This work presents a unified abstraction of Matryoshka embeddings, early exit, 2D~Matryoshka, and layerwise token compression that enables Matryoshka~LTC (MLTC), which jointly trains several token-compression ratios in one retriever checkpoint.

Yu Wang, Shengyao Zhuang, Xue-Guang Ma et al. · 1 citation
Preprint Aug 2026

Multi-Granularity Context-Enhanced RAG over Multimodal Knowledge Graphs

A novel framework for constructing a Context-Enhanced MMKG (CEMMKG) is proposed, effective in leveraging contextual information to improve MMKG-based RAG performance and its effectiveness across different MMKG-based RAG methods demonstrates its broad applicability.

Zongyu Wu, Yilong Wang, Xiaochen Wang et al. · 0 citations

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