Author

Fu-Da Ye

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Preprint Sep 2026

Learning Multimodal Embeddings with Evidence-Aligned Readout

Multimodal large language models can expose task-relevant evidence through generation, but producing useful evidence does not by itself determine how it enters a retrieval embedding. We study whether the semantic organization of that evidence can also specify where representations are read. To address this question, we...

Zi-Rong Chen, Fu-Da Ye, En-Jun Du et al. · 1 citation

Sep 2026

Enabling Retriever-LLM Connection Across the Semantic Gap in Retrieval-Augmented Generation

ConRAG is proposed, a novel enhanced RAG framework to establish an information connection between retrievers and LLMs in RAG, thereby enhancing relationship modeling of LLMs and is suitable for low-resource scenarios where LLMs and retrievers are frozen.

Fu-Da Ye, Shuang-Yin Li, Yong-Qi Zhang et al. · ACM Transactions on Knowledg... · 0 citations