Autonomous agents increasingly rely on external data to complete downstream tasks such as model training and decision support. However, existing data discovery systems remain largely retrieval-oriented: they surface candidate datasets from heterogeneous sources, but provide limited support for estimating task-specific...
Yifan Wu, Yuchen Peng, Jia-Qi Chai et al.· Proceedings of the VLDB Endo...· 0 citations
This study identifies depth-dependent prefix redundancy in final-readout LLM embedding models, notably across representative backbones including Qwen3-Embedding and Qwen3-VL-Embedding, and introduces FastE, a training-free, plug-and-play method that offers practical value for scalable embedding generation in retrieval,...
Jin-Song Shu, Jin-Yong Wen, Bao-Kun Wang et al.· 0 citations
This work proposes ScaleSense, a proactive, query-level resource scaling framework that addresses the critical performance-cost trade-off while maintaining low-overhead inference latency, and confirms its practical performance in production deployments.
Yifan Wu, Yuhan Li, Zhenhua Wang et al.· Proceedings of the VLDB Endo...· 0 citations
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