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20212023
most citedImproving Document Representations by Generating Pseudo Query Embeddings for Dense Retrieval

3 citations · 6 across the 5 of their papers we have counts for

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5 papers

cs.CV2023

D3G: Exploring Gaussian Prior for Temporal Sentence Grounding with Glance Annotation

Hanjun Li, Xiujun Shu, Sunan He +5

Temporal sentence grounding (TSG) aims to locate a specific moment from an untrimmed video with a given natural language query. Recently, weakly supervised methods still have a lar…

cs.CV2023

Unified and Dynamic Graph for Temporal Character Grouping in Long Videos

Xiujun Shu, Wei Wen, Liangsheng Xu +6

Video temporal character grouping locates appearing moments of major characters within a video according to their identities. To this end, recent works have evolved from unsupervis…

cs.CL2023

Inflected Forms Are Redundant in Question Generation Models

Xingwu Sun, Hongyin Tang, chengzhong Xu

Neural models with an encoder-decoder framework provide a feasible solution to Question Generation (QG). However, after analyzing the model vocabulary we find that current models (…

cs.CL2022★ 3 cited

TencentPretrain: A Scalable and Flexible Toolkit for Pre-training Models of Different Modalities

Zhe Zhao, Yudong Li, Cheng Hou +23

Recently, the success of pre-training in text domain has been fully extended to vision, audio, and cross-modal scenarios. The proposed pre-training models of different modalities a…

cs.IR2021★ 3 cited

Improving Document Representations by Generating Pseudo Query Embeddings for Dense Retrieval

Hongyin Tang, Xingwu Sun, Beihong Jin +3

Recently, the retrieval models based on dense representations have been gradually applied in the first stage of the document retrieval tasks, showing better performance than tradit…