Traditional Web search follows a human-facing paradigm in which users inspect ranked documents and synthesize information themselves. In AI Search, retrieved documents instead serve as inputs to a generation model, shifting the retrieval objective from ranking documents by Search Satisfaction to constructing reliable c...
Yun-Fei Zhong, Yin-Qiong Cai, Lixin Su et al.· 0 citations
ZenGen, an integrated framework for measuring, internalizing, and grounding social intelligence, and Actio, a harness-controlled inference architecture that routes four typed supports into reasoning demonstrate the effectiveness of typed runtime support.
ZenGen Team, Xiang Ao, Jingping Bi et al.· 0 citations
This paper introduces Search in the Model, a novel training-free framework that performs fine-grained identification and rectification of vulnerable neurons directly within the model, and develops a maximum marginal vulnerability criterion to precisely locate the top-K neurons most responsible for model vulnerability.
Yuansan Liu, Ruqing Zhang, Hongru Song et al.· Annual Meeting of the Associ...· 0 citations
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