Visual retrieval systems remain highly vulnerable to test-time distribution shifts caused by corruption, degradation, and environmental changes. Unlike classification, retrieval-time adaptation must preserve ranking consistency in a similarity space, where the dominant failure mode is not only inaccurate prediction con...
Yuan-Peng He, Li-Jian Li, Lin-Yu Li et al.· IEEE Transactions on Pattern...· 0 citations
Recent advances in agentic recommender systems are shifting recommender systems from passive filtering engines to instruction-following agents that use external tools to resolve user intent. However, existing benchmarks often assume explicit user intent, simplified tool environments, or isolated function calls, leaving...
Xiao Chen, Yi-Chen Zhao, Ying-Ying Wu et al.· 0 citations
This work argues that finding people from a natural-language description is fundamentally a requirements engineering task: such a request is an under-determined requirement with implicit constraints, many valid answers, and no acceptance criterion, so useful answers require eliciting, validating, and verifying the requ...
Yuan-Peng He, Fang-Chen Li, Xiang-Yu Ru et al.· 0 citations
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