5 citations · 8 across the 8 of their papers we have counts for
Showing 2023Show all
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cs.CV2023★ 2 cited
Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding
Sicong Leng, Hang Zhang, Guanzheng Chen +4
Large Vision-Language Models (LVLMs) have advanced considerably, intertwining visual recognition and language understanding to generate content that is not only coherent but also c…
cs.SE2023
Rethinking Negative Pairs in Code Search
Haochen Li, Xin Zhou, Luu Anh Tuan +1
Recently, contrastive learning has become a key component in fine-tuning code search models for software development efficiency and effectiveness. It pulls together positive code s…
eess.SP2023★ 1 cited
A Knowledge-Driven Cross-view Contrastive Learning for EEG Representation
Weining Weng, Yang Gu, Qihui Zhang +3
Due to the abundant neurophysiological information in the electroencephalogram (EEG) signal, EEG signals integrated with deep learning methods have gained substantial traction acro…