most citedUni-Retriever: Towards Learning The Unified Embedding Based Retriever in Bing Sponsored Search

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023

No-frills Temporal Video Grounding: Multi-Scale Neighboring Attention and Zoom-in Boundary Detection

Qi Zhang, Sipeng Zheng, Qin Jin

Temporal video grounding (TVG) aims to retrieve the time interval of a language query from an untrimmed video. A significant challenge in TVG is the low "Semantic Noise Ratio (SNR)…

cs.CV2023

On the Generalization of Multi-modal Contrastive Learning

Qi Zhang, Yifei Wang, Yisen Wang

Multi-modal contrastive learning (MMCL) has recently garnered considerable interest due to its superior performance in visual tasks, achieved by embedding multi-modal data, such as…

cs.CL2023

Towards Better Entity Linking with Multi-View Enhanced Distillation

Yi Liu, Yuan Tian, Jianxun Lian +7

Dense retrieval is widely used for entity linking to retrieve entities from large-scale knowledge bases. Mainstream techniques are based on a dual-encoder framework, which encodes…

cs.IR2022

Supervised Deep Hashing for High-dimensional and Heterogeneous Case-based Reasoning

Qi Zhang, Liang Hu, Chongyang Shi +2

Case-based Reasoning (CBR) on high-dimensional and heterogeneous data is a trending yet challenging and computationally expensive task in the real world. A promising approach is to…

cs.IR20221 cited

Uni-Retriever: Towards Learning The Unified Embedding Based Retriever in Bing Sponsored Search

Jianjin Zhang, Zheng Liu, Weihao Han +9

Embedding based retrieval (EBR) is a fundamental building block in many web applications. However, EBR in sponsored search is distinguished from other generic scenarios and technic…