| 2025 | ACL | KaFT: Knowledge-aware Fine-tuning for Boosting LLMs' Domain-specific Question-Answering Performance. | Qihuang Zhong, Liang Ding, Xiantao Cai, Juhua Liu, Bo Du, Dacheng Tao |
| 2024 | ACL | Revisiting Knowledge Distillation for Autoregressive Language Models. | Qihuang Zhong, Liang Ding, Li Shen, Juhua Liu, Bo Du, Dacheng Tao |
| 2024 | ACL | ROSE Doesn't Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding. | Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao |
| 2024 | EMNLP | Learning from Imperfect Data: Towards Efficient Knowledge Distillation of Autoregressive Language Models for Text-to-SQL. | Qihuang Zhong, Kunfeng Chen, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao |
| 2023 | ACL | Token-Level Self-Evolution Training for Sequence-to-Sequence Learning. | Keqin Peng, Liang Ding, Qihuang Zhong, Yuanxin Ouyang, Wenge Rong, Zhang Xiong, Dacheng Tao |
| 2023 | ACL | Self-Evolution Learning for Discriminative Language Model Pretraining. | Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao |
| 2023 | ACL | Revisiting Token Dropping Strategy in Efficient BERT Pretraining. | Qihuang Zhong, Liang Ding, Juhua Liu, Xuebo Liu, Min Zhang, Bo Du, Dacheng Tao |
| 2023 | EMNLP | Towards Making the Most of ChatGPT for Machine Translation. | Keqin Peng, Liang Ding, Qihuang Zhong, Li Shen, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao |
| 2023 | EMNLP | Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks. | Haoqi Zheng, Qihuang Zhong, Liang Ding, Zhiliang Tian, Xin Niu, Changjian Wang, Dongsheng Li, Dacheng Tao |
| 2023 | EMNLP | Zero-shot Sharpness-Aware Quantization for Pre-trained Language Models. | Miaoxi Zhu, Qihuang Zhong, Li Shen, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao |
| 2022 | COLING | A Contrastive Cross-Channel Data Augmentation Framework for Aspect-Based Sentiment Analysis. | Bing Wang, Liang Ding, Qihuang Zhong, Ximing Li, Dacheng Tao |
| 2022 | EMNLP | Improving Sharpness-Aware Minimization with Fisher Mask for Better Generalization on Language Models. | Qihuang Zhong, Liang Ding, Li Shen, Peng Mi, Juhua Liu, Bo Du, Dacheng Tao |