4 citations · 7 across the 9 of their papers we have counts for
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cs.CV2023
Towards reporting bias in visual-language datasets: bimodal augmentation by decoupling object-attribute association
Qiyu Wu, Mengjie Zhao, Yutong He +4
Reporting bias arises when people assume that some knowledge is universally understood and hence, do not necessitate explicit elaboration. In this paper, we focus on the wide exist…
cs.CL2023★ 2 cited
Leveraging Multi-lingual Positive Instances in Contrastive Learning to Improve Sentence Embedding
Kaiyan Zhao, Qiyu Wu, Xin-Qiang Cai +1
Learning multi-lingual sentence embeddings is a fundamental task in natural language processing. Recent trends in learning both mono-lingual and multi-lingual sentence embeddings a…
cs.CL2023
WSPAlign: Word Alignment Pre-training via Large-Scale Weakly Supervised Span Prediction
Qiyu Wu, Masaaki Nagata, Yoshimasa Tsuruoka
Most existing word alignment methods rely on manual alignment datasets or parallel corpora, which limits their usefulness. Here, to mitigate the dependence on manual data, we broad…