58 citations · 68 across the 3 of their papers we have counts for
3 papers
cs.IR2024★ 58 cited
SPFresh: Incremental In-Place Update for Billion-Scale Vector Search
Yuming Xu, Hengyu Liang, Jin Li +9
Approximate Nearest Neighbor Search (ANNS) is now widely used in various applications, ranging from information retrieval, question answering, and recommendation, to search for sim…
cs.IR2024★ 10 cited
MS MARCO Web Search: a Large-scale Information-rich Web Dataset with Millions of Real Click Labels
Qi Chen, Xiubo Geng, Corby Rosset +28
Recent breakthroughs in large models have highlighted the critical significance of data scale, labels and modals. In this paper, we introduce MS MARCO Web Search, the first large-s…
cs.AI2024
Understanding the Weakness of Large Language Model Agents within a Complex Android Environment
Mingzhe Xing, Rongkai Zhang, Hui Xue +3
Large language models (LLMs) have empowered intelligent agents to execute intricate tasks within domain-specific software such as browsers and games. However, when applied to gener…