10 citations · 14 across the 5 of their papers we have counts for
5 papers
DualSpec: Accelerating Deep Research Agents via Dual-Process Action Speculation
Shuzhang Zhong, Baotong Lu, Qi Chen +3
Large language model-based deep research agents have been increasingly popular for addressing long-horizon information-seeking tasks, but they often incur high end-to-end latency d…
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…
SPANN: Highly-efficient Billion-scale Approximate Nearest Neighbor Search
Qi Chen, Bing Zhao, Haidong Wang +5
The in-memory algorithms for approximate nearest neighbor search (ANNS) have achieved great success for fast high-recall search, but are extremely expensive when handling very larg…
MIRA: Leveraging Multi-Intention Co-click Information in Web-scale Document Retrieval using Deep Neural Networks
Yusi Zhang, Chuanjie Liu, Angen Luo +6
We study the problem of deep recall model in industrial web search, which is, given a user query, retrieve hundreds of most relevance documents from billions of candidates. The com…
GLOW : Global Weighted Self-Attention Network for Web Search
Xuan Shan, Chuanjie Liu, Yiqian Xia +6
Deep matching models aim to facilitate search engines retrieving more relevant documents by mapping queries and documents into semantic vectors in the first-stage retrieval. When l…