PALATE (Person-Aligned LLM-Simulated-User Assessment with Tailored Evaluation with Tailored Evaluation), a scalable RPA benchmark built on user simulators, produces interpretable evaluations of specific user-RPA pairs rather than compressing systems into a single user-independent ranking.
Yuhan Zhu, Ming-Xuan Du, Benfeng Xu et al.· arXiv.org· 0 citations
This work identifies a new implicit attack surface for skill selection: even when the user prompt and skill description appear benign in isolation, their semantic relationship can still be strategically shaped to favor an attacker-chosen skill.
Qi-Kai Wang, Yong-Zhao Zhang, Zhi-Wei Chen et al.· 1 citation
Generative Retrieval (GR) is promising for e-commerce search, yet existing methods struggle to maintain query-intent consistency throughout the training pipeline. First, semantic ID (SID) construction based on static product information limits the ability of SIDs to encode product-intent associations. Second, although...
Jiayi Tuo, He-Han Li, Dong-Jun Fu et al.· 0 citations
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