Conversational Query Rewriting (CQR) plays a vital role in modern information retrieval by transforming ambiguous user queries into self-contained versions that can be effectively processed by standard retrieval systems. Although essential for maintaining conversational context, current approaches tend to depend heavil...
Jia-Rui Lu, Tao Fang, Tian-Yu Zhang et al.· IEEE Transactions on Audio,...· 0 citations
This work proposes MemLoc, a unified Retrieve-Localize-Generate framework for long-term conversational memory QA, and introduces a reasoning-based evidence locator trained with Self-reflective Hint Policy Optimization, which performs progressive refinement by extracting query-relevant fragments within memory units to s...
Yi-Fan Wang, Xin-Kui Lin, Yong-Xiu Xu et al.· 0 citations
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
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