Rongzhi Zhang

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 28

Top Topics

Sequence Prediction

Top Venues

Publications

Rongzhi Zhang, Jiaming Shen, Tianqi Liu, Haorui Wang, Zhen Qin, Feng Han, Jialu Liu, Simon Baumgartner, Michael Bendersky, Chao Zhang
PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference Pairs. CoRR (2024)
Yuzhao Heng, Chunyuan Deng, Yitong Li, Yue Yu, Yinghao Li, Rongzhi Zhang, Chao Zhang
ProgGen: Generating Named Entity Recognition Datasets Step-by-step with Self-Reflexive Large Language Models. CoRR (2024)
Rongzhi Zhang, Jiaming Shen, Tianqi Liu, Haorui Wang, Zhen Qin, Feng Han, Jialu Liu, Simon Baumgartner, Michael Bendersky, Chao Zhang
PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference Pairs. ACL (Findings) (2024)
Lingkai Kong, Haorui Wang, Wenhao Mu, Yuanqi Du, Yuchen Zhuang, Yifei Zhou, Yue Song, Rongzhi Zhang, Kai Wang, Chao Zhang
Aligning Large Language Models with Representation Editing: A Control Perspective. CoRR (2024)
Haorui Wang, Rongzhi Zhang, Yinghao Li, Lingkai Kong, Yuchen Zhuang, Xiusi Chen, Chao Zhang
TPD: Enhancing Student Language Model Reasoning via Principle Discovery and Guidance. CoRR (2024)
Yuzhao Heng, Chunyuan Deng, Yitong Li, Yue Yu, Yinghao Li, Rongzhi Zhang, Chao Zhang
ProgGen: Generating Named Entity Recognition Datasets Step-by-step with Self-Reflexive Large Language Models. ACL (Findings) (2024)
Rongzhi Zhang, Jiaming Shen, Tianqi Liu, Jialu Liu, Michael Bendersky, Marc Najork, Chao Zhang
Knowledge Distillation with Perturbed Loss: From a Vanilla Teacher to a Proxy Teacher. KDD (2024)
Rongzhi Zhang, Yue Yu, Jiaming Shen, Xiquan Cui, Chao Zhang
Local Boosting for Weakly-Supervised Learning. CoRR (2023)
Rongzhi Zhang, Jiaming Shen, Tianqi Liu, Jialu Liu, Michael Bendersky, Marc Najork, Chao Zhang
Do Not Blindly Imitate the Teacher: Using Perturbed Loss for Knowledge Distillation. CoRR (2023)
Yue Yu, Yuchen Zhuang, Rongzhi Zhang, Yu Meng, Jiaming Shen, Chao Zhang
ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval. ACL (Findings) (2023)
Rongzhi Zhang, Yue Yu, Jiaming Shen, Xiquan Cui, Chao Zhang
Local Boosting for Weakly-Supervised Learning. KDD (2023)
Yue Yu, Rongzhi Zhang, Ran Xu, Jieyu Zhang, Jiaming Shen, Chao Zhang
Cold-Start Data Selection for Better Few-shot Language Model Fine-tuning: A Prompt-based Uncertainty Propagation Approach. ACL (1) (2023)
Yue Yu, Yuchen Zhuang, Rongzhi Zhang, Yu Meng, Jiaming Shen, Chao Zhang
ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval. CoRR (2023)
Rongzhi Zhang, Rebecca West, Xiquan Cui, Chao Zhang
Adaptive Multi-view Rule Discovery for Weakly-Supervised Compatible Products Prediction. KDD (2022)
Yue Yu, Rongzhi Zhang, Ran Xu, Jieyu Zhang, Jiaming Shen, Chao Zhang
Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach. CoRR (2022)
Rongzhi Zhang, Rebecca West, Xiquan Cui, Chao Zhang
Adaptive Multi-view Rule Discovery for Weakly-Supervised Compatible Products Prediction. CoRR (2022)
Yue Yu, Lingkai Kong, Jieyu Zhang, Rongzhi Zhang, Chao Zhang
AcTune: Uncertainty-Based Active Self-Training for Active Fine-Tuning of Pretrained Language Models. NAACL-HLT (2022)
Rongzhi Zhang, Yue Yu, Pranav Shetty, Le Song, Chao Zhang
PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning. CoRR (2022)
Rongzhi Zhang, Yue Yu, Pranav Shetty, Le Song, Chao Zhang
Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning. ACL (1) (2022)
Rongzhi Zhang, Yulong Gu, Xiaoyu Shen, Hui Su
Knowledge-enhanced Session-based Recommendation with Temporal Transformer. CoRR (2021)
Yue Yu, Lingkai Kong, Jieyu Zhang, Rongzhi Zhang, Chao Zhang
ATM: An Uncertainty-aware Active Self-training Framework for Label-efficient Text Classification. CoRR (2021)
Yifei Zhao, Mingdong Ou, Rongzhi Zhang, Meng Li
Attributed Graph Neural Networks for Recommendation Systems on Large-Scale and Sparse Graph. CoRR (2021)
Rongzhi Zhang, Shuzi Niu, Yucheng Li
Robust Sequence Embedding for Recommendation. KSEM (2) (2020)
Rongzhi Zhang, Yue Yu, Chao Zhang
SeqMix: Augmenting Active Sequence Labeling via Sequence Mixup. CoRR (2020)
Rongzhi Zhang, Yue Yu, Chao Zhang
SeqMix: Augmenting Active Sequence Labeling via Sequence Mixup. EMNLP (1) (2020)
Hui Su, Xiaoyu Shen, Rongzhi Zhang, Fei Sun, Pengwei Hu, Cheng Niu, Jie Zhou
Improving Multi-turn Dialogue Modelling with Utterance ReWriter. ACL (1) (2019)
Hui Su, Xiaoyu Shen, Rongzhi Zhang, Fei Sun, Pengwei Hu, Cheng Niu, Jie Zhou
Improving Multi-turn Dialogue Modelling with Utterance ReWriter. CoRR (2019)
Shuzi Niu, Rongzhi Zhang
Collaborative Sequence Prediction for Sequential Recommender. CIKM (2017)
Xiuli Sun, Boquan Dong, Lingjie Yin, Rongzhi Zhang, Wei Du, Dongfeng Liu, Nan Shi, Aili Li, Yanchun Liang, Long Mao
PMTED: a plant microRNA target expression database. BMC Bioinform. 14 (2013)