SemiText: Scene text detection with semi-supervised learning. - Juhua Liu; Qihuang Zhong; Yuan Yuan; Hai Su; Bo Du 001 (Neurocomputing, 2020)

A Contrastive Cross-Channel Data Augmentation Framework for Aspect-Based Sentiment Analysis. - Bing Wang 018; Liang Ding 006; Qihuang Zhong; Ximing Li 002; Dacheng Tao (COLING, 2022)

Improving Sharpness-Aware Minimization with Fisher Mask for Better Generalization on Language Models. - Qihuang Zhong; Liang Ding 006; Li Shen 008; Peng Mi; Juhua Liu; Bo Du 001; Dacheng Tao (EMNLP (Findings), 2022)

Toward Efficient Language Model Pretraining and Downstream Adaptation via Self-Evolution: A Case Study on SuperGLUE. - Qihuang Zhong; Liang Ding 006; Yibing Zhan; Yu Qiao 001; Yonggang Wen 001; Li Shen 008; Juhua Liu; Baosheng Yu; Bo Du 001; Yixin Chen 001; Xinbo Gao 001; Chunyan Miao; et al. (CoRR, 2022)

Token-Level Self-Evolution Training for Sequence-to-Sequence Learning. - Keqin Peng; Liang Ding 006; Qihuang Zhong; Yuanxin Ouyang; Wenge Rong; Zhang Xiong 001; Dacheng Tao (ACL (2), 2023)

Self-Evolution Learning for Discriminative Language Model Pretraining. - Qihuang Zhong; Liang Ding 006; Juhua Liu; Bo Du 001; Dacheng Tao (ACL (Findings), 2023)

Revisiting Token Dropping Strategy in Efficient BERT Pretraining. - Qihuang Zhong; Liang Ding 006; Juhua Liu; Xuebo Liu 002; Min Zhang 005; Bo Du 001; Dacheng Tao (ACL (1), 2023)

Towards Making the Most of ChatGPT for Machine Translation. - Keqin Peng; Liang Ding 006; Qihuang Zhong; Li Shen 008; Xuebo Liu 002; Min Zhang 005; Yuanxin Ouyang; Dacheng Tao (EMNLP (Findings), 2023)

Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks. - Haoqi Zheng; Qihuang Zhong; Liang Ding 006; Zhiliang Tian; Xin Niu 002; Changjian Wang; Dongsheng Li 001; Dacheng Tao (EMNLP, 2023)

Zero-shot Sharpness-Aware Quantization for Pre-trained Language Models. - Miaoxi Zhu; Qihuang Zhong; Li Shen 008; Liang Ding 006; Juhua Liu; Bo Du 001; Dacheng Tao (EMNLP, 2023)

Bag of Tricks for Effective Language Model Pretraining and Downstream Adaptation: A Case Study on GLUE. - Qihuang Zhong; Liang Ding 006; Keqin Peng; Juhua Liu; Bo Du 001; Li Shen 008; Yibing Zhan; Dacheng Tao (CoRR, 2023)

Can ChatGPT Understand Too? A Comparative Study on ChatGPT and Fine-tuned BERT. - Qihuang Zhong; Liang Ding 006; Juhua Liu; Bo Du 001; Dacheng Tao (CoRR, 2023)

Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks. - Haoqi Zheng; Qihuang Zhong; Liang Ding 006; Zhiliang Tian; Xin Niu 002; Dongsheng Li 001; Dacheng Tao (CoRR, 2023)

Unified Instance and Knowledge Alignment Pretraining for Aspect-Based Sentiment Analysis. - Juhua Liu; Qihuang Zhong; Liang Ding 006; Hua Jin; Bo Du 001; Dacheng Tao (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Joint image and feature adaptative attention-aware networks for cross-modality semantic segmentation. - Qihuang Zhong; Fanzhou Zeng; Fei Liao; Juhua Liu; Bo Du 001; Jedi S. Shang (Neural Comput. Appl., 2023)

Knowledge Graph Augmented Network Towards Multiview Representation Learning for Aspect-Based Sentiment Analysis. - Qihuang Zhong; Liang Ding 006; Juhua Liu; Bo Du 001; Hua Jin; Dacheng Tao (IEEE Trans. Knowl. Data Eng., 2023)

Revisiting Knowledge Distillation for Autoregressive Language Models. - Qihuang Zhong; Liang Ding 006; Li Shen 008; Juhua Liu; Bo Du 001; Dacheng Tao (ACL (1), 2024)

ROSE Doesn't Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding. - Qihuang Zhong; Liang Ding 006; Juhua Liu; Bo Du 001; Dacheng Tao (ACL (Findings), 2024)

Learning from Imperfect Data: Towards Efficient Knowledge Distillation of Autoregressive Language Models for Text-to-SQL. - Qihuang Zhong; Kunfeng Chen; Liang Ding 006; Juhua Liu; Bo Du 001; Dacheng Tao (EMNLP (Findings), 2024)

Achieving >97% on GSM8K: Deeply Understanding the Problems Makes LLMs Better Reasoners. - Qihuang Zhong; Kang Wang; Ziyang Xu; Juhua Liu; Liang Ding 006; Bo Du 001; Dacheng Tao (CoRR, 2024)

Iterative Data Augmentation with Large Language Models for Aspect-based Sentiment Analysis. - Haiyun Li; Qihuang Zhong; Ke Zhu; Juhua Liu; Bo Du 001; Dacheng Tao (CoRR, 2024)

AdaSAM: Boosting sharpness-aware minimization with adaptive learning rate and momentum for training deep neural networks. - Hao Sun 019; Li Shen 008; Qihuang Zhong; Liang Ding 006; Shixiang Chen; Jingwei Sun 001; Jing Li 047; Guangzhong Sun; Dacheng Tao (Neural Networks, 2024)

PanDa: Prompt Transfer Meets Knowledge Distillation for Efficient Model Adaptation. - Qihuang Zhong; Liang Ding 006; Juhua Liu; Bo Du 001; Dacheng Tao (IEEE Trans. Knowl. Data Eng., 2024)

E2S2: Encoding-Enhanced Sequence-to-Sequence Pretraining for Language Understanding and Generation. - Qihuang Zhong; Liang Ding 006; Juhua Liu; Bo Du 001; Dacheng Tao (IEEE Trans. Knowl. Data Eng., 2024)

KaFT: Knowledge-aware Fine-tuning for Boosting LLMs' Domain-specific Question-Answering Performance. - Qihuang Zhong; Liang Ding 006; Xiantao Cai; Juhua Liu; Bo Du 001; Dacheng Tao (ACL (Findings), 2025)

Resolving Knowledge Conflicts in Domain-specific Data Selection: A Case Study on Medical Instruction-tuning. - Qihuang Zhong; Liang Ding 006; Fei Liao; Juhua Liu; Bo Du 001; Dacheng Tao (CoRR, 2025)