Qihuang Zhong

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 35

Top Topics

Comparative Study

Top Venues

Publications

Qihuang Zhong, Liang Ding, Li Shen, Juhua Liu, Bo Du, Dacheng Tao
Revisiting Knowledge Distillation for Autoregressive Language Models. ACL (1) (2024)
Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
ROSE Doesn't Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding. ACL (Findings) (2024)
Qihuang Zhong, Liang Ding, Li Shen, Juhua Liu, Bo Du, Dacheng Tao
Revisiting Knowledge Distillation for Autoregressive Language Models. CoRR (2024)
Haiyun Li, Qihuang Zhong, Ke Zhu, Juhua Liu, Bo Du, Dacheng Tao
Iterative Data Augmentation with Large Language Models for Aspect-based Sentiment Analysis. CoRR (2024)
Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
ROSE Doesn't Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding. CoRR (2024)
Hao Sun, Li Shen, Qihuang Zhong, Liang Ding, Shixiang Chen, Jingwei Sun, Jing Li, Guangzhong Sun, Dacheng Tao
AdaSAM: Boosting sharpness-aware minimization with adaptive learning rate and momentum for training deep neural networks. Neural Networks 169 (2024)
Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
PanDa: Prompt Transfer Meets Knowledge Distillation for Efficient Model Adaptation. IEEE Trans. Knowl. Data Eng. 36 (9) (2024)
Qihuang Zhong, Kang Wang, Ziyang Xu, Juhua Liu, Liang Ding, Bo Du, Dacheng Tao
Achieving >97% on GSM8K: Deeply Understanding the Problems Makes LLMs Better Reasoners. CoRR (2024)
Haoqi Zheng, Qihuang Zhong, Liang Ding, Zhiliang Tian, Xin Niu, Changjian Wang, Dongsheng Li, Dacheng Tao
Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks. EMNLP (2023)
Qihuang Zhong, Liang Ding, Keqin Peng, Juhua Liu, Bo Du, Li Shen, Yibing Zhan, Dacheng Tao
Bag of Tricks for Effective Language Model Pretraining and Downstream Adaptation: A Case Study on GLUE. CoRR (2023)
Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
Can ChatGPT Understand Too? A Comparative Study on ChatGPT and Fine-tuned BERT. CoRR (2023)
Keqin Peng, Liang Ding, Qihuang Zhong, Li Shen, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao
Towards Making the Most of ChatGPT for Machine Translation. EMNLP (Findings) (2023)
Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
Self-Evolution Learning for Discriminative Language Model Pretraining. CoRR (2023)
Miaoxi Zhu, Qihuang Zhong, Li Shen, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
Zero-Shot Sharpness-Aware Quantization for Pre-trained Language Models. CoRR (2023)
Haoqi Zheng, Qihuang Zhong, Liang Ding, Zhiliang Tian, Xin Niu, Dongsheng Li, Dacheng Tao
Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks. CoRR (2023)
Qihuang Zhong, Fanzhou Zeng, Fei Liao, Juhua Liu, Bo Du, Jedi S. Shang
Joint image and feature adaptative attention-aware networks for cross-modality semantic segmentation. Neural Comput. Appl. 35 (5) (2023)
Keqin Peng, Liang Ding, Qihuang Zhong, Li Shen, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao
Towards Making the Most of ChatGPT for Machine Translation. CoRR (2023)
Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Hua Jin, Dacheng Tao
Knowledge Graph Augmented Network Towards Multiview Representation Learning for Aspect-Based Sentiment Analysis. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Qihuang Zhong, Liang Ding, Juhua Liu, Xuebo Liu, Min Zhang, Bo Du, Dacheng Tao
Revisiting Token Dropping Strategy in Efficient BERT Pretraining. CoRR (2023)
Miaoxi Zhu, Qihuang Zhong, Li Shen, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
Zero-shot Sharpness-Aware Quantization for Pre-trained Language Models. EMNLP (2023)
Hao Sun, Li Shen, Qihuang Zhong, Liang Ding, Shixiang Chen, Jingwei Sun, Jing Li, Guangzhong Sun, Dacheng Tao
AdaSAM: Boosting Sharpness-Aware Minimization with Adaptive Learning Rate and Momentum for Training Deep Neural Networks. CoRR (2023)
Qihuang Zhong, Liang Ding, Juhua Liu, Xuebo Liu, Min Zhang, Bo Du, Dacheng Tao
Revisiting Token Dropping Strategy in Efficient BERT Pretraining. ACL (1) (2023)
Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
Self-Evolution Learning for Discriminative Language Model Pretraining. ACL (Findings) (2023)
Keqin Peng, Liang Ding, Qihuang Zhong, Yuanxin Ouyang, Wenge Rong, Zhang Xiong, Dacheng Tao
Token-Level Self-Evolution Training for Sequence-to-Sequence Learning. ACL (2) (2023)
Juhua Liu, Qihuang Zhong, Liang Ding, Hua Jin, Bo Du, Dacheng Tao
Unified Instance and Knowledge Alignment Pretraining for Aspect-Based Sentiment Analysis. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Bing Wang, Liang Ding, Qihuang Zhong, Ximing Li, Dacheng Tao
A Contrastive Cross-Channel Data Augmentation Framework for Aspect-Based Sentiment Analysis. COLING (2022)
Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Hua Jin, Dacheng Tao
Knowledge Graph Augmented Network Towards Multiview Representation Learning for Aspect-based Sentiment Analysis. CoRR (2022)
Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
PANDA: Prompt Transfer Meets Knowledge Distillation for Efficient Model Adaptation. CoRR (2022)
Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
E2S2: Encoding-Enhanced Sequence-to-Sequence Pretraining for Language Understanding and Generation. CoRR (2022)
Qihuang Zhong, Liang Ding, Li Shen, Peng Mi, Juhua Liu, Bo Du, Dacheng Tao
Improving Sharpness-Aware Minimization with Fisher Mask for Better Generalization on Language Models. EMNLP (Findings) (2022)
Qihuang Zhong, Liang Ding, Li Shen, Peng Mi, Juhua Liu, Bo Du, Dacheng Tao
Improving Sharpness-Aware Minimization with Fisher Mask for Better Generalization on Language Models. CoRR (2022)
Qihuang Zhong, Liang Ding, Yibing Zhan, Yu Qiao, Yonggang Wen, Li Shen, Juhua Liu, Baosheng Yu, Bo Du, Yixin Chen, Xinbo Gao, Chunyan Miao, Xiaoou Tang, Dacheng Tao
Toward Efficient Language Model Pretraining and Downstream Adaptation via Self-Evolution: A Case Study on SuperGLUE. CoRR (2022)
Bing Wang, Liang Ding, Qihuang Zhong, Ximing Li, Dacheng Tao
A Contrastive Cross-Channel Data Augmentation Framework for Aspect-based Sentiment Analysis. CoRR (2022)
Juhua Liu, Qihuang Zhong, Liang Ding, Hua Jin, Bo Du, Dacheng Tao
Unified Instance and Knowledge Alignment Pretraining for Aspect-based Sentiment Analysis. CoRR (2021)
Juhua Liu, Qihuang Zhong, Yuan Yuan, Hai Su, Bo Du
SemiText: Scene text detection with semi-supervised learning. Neurocomputing 407 (2020)