Author

Yubin Wang

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#natural language process... Preprint Sep 2026

Where to Look and What to Use: Retrieve-Localize-Generate for Long-Term Conversational Memory Question Answering

Retrieval-augmented generation (RAG) enables large language models (LLMs) to answer questions by accessing external knowledge and has been widely adopted for long-term conversational memory question answering. However, existing methods suffer from two key challenges: (1) fragmented evidence scattered across temporally...

Yi-Fan Wang, Xin-Kui Lin, Yong-Xiu Xu et al. · 0 citations

#artificial intelligence Apr 2026

Does Unification Come at a Cost? Uni-SafeBench: A Safety Benchmark for Unified Multimodal Large Models

It is found that the original safety alignment of the underlying LLM is not consistently preserved in current unified models, and open-source UMLMs exhibit much lower safety performance than multimodal large models specialized for either generation or understanding tasks, particularly on the generation side.

Zi Peng, Yongxiu Xu, Qinyi Zhang et al. · arXiv.org · 0 citations