Zhengxiao Du
Zhengxiao Du
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GLM: General Language Model Pretraining with Autoregressive Blank Infilling
There have been various types of pretraining architectures including autoencoding models (e.g., BERT), autoregressive models (e.g., …
Zhengxiao Du
,
Yujie Qian
,
Xiao Liu
,
Ming Ding
,
Jiezhong Qiu
,
Zhilin Yang
,
Jie Tang
Code
Preprint
Paper
P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks
Prompt tuning, which only tunes continuous prompts with a frozen language model, substantially reduces per-task storage and memory …
Xiao Liu
,
Kaixuan Ji
,
Yicheng Fu
,
Weng Lam Tam
,
Zhengxiao Du
,
Zhilin Yang
,
Jie Tang
Code
Preprint
Paper
Policy-Gradient Training of Fair and Unbiased Ranking Functions
While implicit feedback (e.g., clicks, dwell times, etc.) is an abundant and attractive source of data for learning to rank, it can …
Himank Yadav
,
Zhengxiao Du
,
Thorsten Joachims
Code
Preprint
Paper
Sequential Scenario-Specific Meta Learner for Online Recommendation
Cold-start problems are long-standing challenges for practical recommendations. Most existing recommendation algorithms rely on …
Zhengxiao Du
,
Xiaowei Wang
,
Hongxia Yang
,
Jingren Zhou
,
Jie Tang
Code
Preprint
EFCNN: A Restricted Convolutional Neural Network for Expert Finding
Yifeng Zhao
,
Jie Tang
,
Zhengxiao Du
POLAR: Attention-Based CNN for One-Shot Personalized Article Recommendation
In this paper, we propose POLAR, an attention-based CNN combined with one-shot learning for personalized article recommendation. Given …
Zhengxiao Du
,
Jie Tang
,
Yuhui Ding
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