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20172023
most citedCRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing

59 citations · 446 across the 85 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

cs.CV2020★ 31 cited

TediGAN: Text-Guided Diverse Face Image Generation and Manipulation

Weihao Xia, Yujiu Yang, Jing-Hao Xue +1

In this work, we propose TediGAN, a novel framework for multi-modal image generation and manipulation with textual descriptions. The proposed method consists of three components: S…

cs.CV2020★ 13 cited

Controllable Continuous Gaze Redirection

Weihao Xia, Yujiu Yang, Jing-Hao Xue +1

In this work, we present interpGaze, a novel framework for controllable gaze redirection that achieves both precise redirection and continuous interpolation. Given two gaze images…

cs.SI2020★ 2 cited

Match4Rec: A Novel Recommendation Algorithm Based on Bidirectional Encoder Representation with the Matching Task

Lingxiao Zhang, Jiangpeng Yan, Yujiu Yang +1

Characterizing users' interests accurately plays a significant role in an effective recommender system. The sequential recommender system can learn powerful hidden representations…

cs.CL2020★ 7 cited

Cognitive Representation Learning of Self-Media Online Article Quality

Yiru Wang, Shen Huang, Gongfu Li +5

The automatic quality assessment of self-media online articles is an urgent and new issue, which is of great value to the online recommendation and search. Different from tradition…

cs.CL2020

Towards Multimodal Response Generation with Exemplar Augmentation and Curriculum Optimization

Zeyang Lei, Zekang Li, Jinchao Zhang +5

Recently, variational auto-encoder (VAE) based approaches have made impressive progress on improving the diversity of generated responses. However, these methods usually suffer the…

cs.CL2020★ 1 cited

HSCJN: A Holistic Semantic Constraint Joint Network for Diverse Response Generation

Yiru Wang, Pengda Si, Zeyang Lei +2

The sequence-to-sequence (Seq2Seq) model generates target words iteratively given the previously observed words during decoding process, which results in the loss of the holistic s…