Qihuang Zhong - RankMe

44 papers A* 2B 1Journal 32Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Achieving >97% on GSM8K: deeply understanding the problems makes LLMs better solvers for math word problems. Frontiers Comput. Sci. Qihuang Zhong, Kang Wang, Ziyang Xu, Liang Ding, Juhua Liu, Bo Du
2026	J	`jnl`	Try, Check and Retry: A Divide-and-Conquer Framework for Boosting Long-context Tool-Calling Performance of LLMs. CoRR Kunfeng Chen, Qihuang Zhong, Juhua Liu, Bo Du, Dacheng Tao
2025	—	`conf`	KaFT: Knowledge-aware Fine-tuning for Boosting LLMs' Domain-specific Question-Answering Performance. ACL (Findings) Qihuang Zhong, Liang Ding, Xiantao Cai, Juhua Liu, Bo Du, Dacheng Tao
2025	J	`jnl`	KaFT: Knowledge-aware Fine-tuning for Boosting LLMs' Domain-specific Question-Answering Performance. CoRR Qihuang Zhong, Liang Ding, Xiantao Cai, Juhua Liu, Bo Du, Dacheng Tao
2025	J	`jnl`	Resolving Knowledge Conflicts in Domain-specific Data Selection: A Case Study on Medical Instruction-tuning. CoRR Qihuang Zhong, Liang Ding, Fei Liao, Juhua Liu, Bo Du, Dacheng Tao
2025	J	`jnl`	SFA: Scan, Focus, and Amplify toward Guidance-aware Answering for Video TextVQA. CoRR Haibin He, Qihuang Zhong, Juhua Liu, Bo Du, Peng Wang, Jing Zhang
2024	J	`jnl`	Achieving >97% on GSM8K: Deeply Understanding the Problems Makes LLMs Better Reasoners. CoRR Qihuang Zhong, Kang Wang, Ziyang Xu, Juhua Liu, Liang Ding, Bo Du, Dacheng Tao
2024	J	`jnl`	AdaSAM: Boosting sharpness-aware minimization with adaptive learning rate and momentum for training deep neural networks. Neural Networks Hao Sun, Li Shen, Qihuang Zhong, Liang Ding, Shixiang Chen, Jingwei Sun, Jing Li, Guangzhong Sun, Dacheng Tao
2024	J	`jnl`	E2S2: Encoding-Enhanced Sequence-to-Sequence Pretraining for Language Understanding and Generation. IEEE Trans. Knowl. Data Eng. Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
2024	J	`jnl`	Iterative Data Augmentation with Large Language Models for Aspect-based Sentiment Analysis. CoRR Haiyun Li, Qihuang Zhong, Ke Zhu, Juhua Liu, Bo Du, Dacheng Tao
2024	—	`conf`	Learning from Imperfect Data: Towards Efficient Knowledge Distillation of Autoregressive Language Models for Text-to-SQL. EMNLP (Findings) Qihuang Zhong, Kunfeng Chen, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
2024	J	`jnl`	Learning from Imperfect Data: Towards Efficient Knowledge Distillation of Autoregressive Language Models for Text-to-SQL. CoRR Qihuang Zhong, Kunfeng Chen, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
2024	J	`jnl`	PanDa: Prompt Transfer Meets Knowledge Distillation for Efficient Model Adaptation. IEEE Trans. Knowl. Data Eng. Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
2024	—	`conf`	ROSE Doesn't Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding. ACL (Findings) Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
2024	J	`jnl`	ROSE Doesn't Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding. CoRR Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
2024	—	`conf`	Revisiting Knowledge Distillation for Autoregressive Language Models. ACL (1) Qihuang Zhong, Liang Ding, Li Shen, Juhua Liu, Bo Du, Dacheng Tao
2024	J	`jnl`	Revisiting Knowledge Distillation for Autoregressive Language Models. CoRR Qihuang Zhong, Liang Ding, Li Shen, Juhua Liu, Bo Du, Dacheng Tao
2023	J	`jnl`	AdaSAM: Boosting Sharpness-Aware Minimization with Adaptive Learning Rate and Momentum for Training Deep Neural Networks. CoRR Hao Sun, Li Shen, Qihuang Zhong, Liang Ding, Shixiang Chen, Jingwei Sun, Jing Li, Guangzhong Sun, Dacheng Tao
2023	J	`jnl`	Bag of Tricks for Effective Language Model Pretraining and Downstream Adaptation: A Case Study on GLUE. CoRR Qihuang Zhong, Liang Ding, Keqin Peng, Juhua Liu, Bo Du, Li Shen, Yibing Zhan, Dacheng Tao
2023	J	`jnl`	Can ChatGPT Understand Too? A Comparative Study on ChatGPT and Fine-tuned BERT. CoRR Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
2023	J	`jnl`	Joint image and feature adaptative attention-aware networks for cross-modality semantic segmentation. Neural Comput. Appl. Qihuang Zhong, Fanzhou Zeng, Fei Liao, Juhua Liu, Bo Du, Jedi S. Shang
2023	J	`jnl`	Knowledge Graph Augmented Network Towards Multiview Representation Learning for Aspect-Based Sentiment Analysis. IEEE Trans. Knowl. Data Eng. Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Hua Jin, Dacheng Tao
2023	—	`conf`	Revisiting Token Dropping Strategy in Efficient BERT Pretraining. ACL (1) Qihuang Zhong, Liang Ding, Juhua Liu, Xuebo Liu, Min Zhang, Bo Du, Dacheng Tao
2023	J	`jnl`	Revisiting Token Dropping Strategy in Efficient BERT Pretraining. CoRR Qihuang Zhong, Liang Ding, Juhua Liu, Xuebo Liu, Min Zhang, Bo Du, Dacheng Tao
2023	—	`conf`	Self-Evolution Learning for Discriminative Language Model Pretraining. ACL (Findings) Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
2023	J	`jnl`	Self-Evolution Learning for Discriminative Language Model Pretraining. CoRR Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
2023	A*	`conf`	Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks. EMNLP Haoqi Zheng, Qihuang Zhong, Liang Ding, Zhiliang Tian, Xin Niu, Changjian Wang, Dongsheng Li, Dacheng Tao
2023	J	`jnl`	Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks. CoRR Haoqi Zheng, Qihuang Zhong, Liang Ding, Zhiliang Tian, Xin Niu, Dongsheng Li, Dacheng Tao
2023	—	`conf`	Token-Level Self-Evolution Training for Sequence-to-Sequence Learning. ACL (2) Keqin Peng, Liang Ding, Qihuang Zhong, Yuanxin Ouyang, Wenge Rong, Zhang Xiong, Dacheng Tao
2023	—	`conf`	Towards Making the Most of ChatGPT for Machine Translation. EMNLP (Findings) Keqin Peng, Liang Ding, Qihuang Zhong, Li Shen, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao
2023	J	`jnl`	Towards Making the Most of ChatGPT for Machine Translation. CoRR Keqin Peng, Liang Ding, Qihuang Zhong, Li Shen, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao
2023	J	`jnl`	Unified Instance and Knowledge Alignment Pretraining for Aspect-Based Sentiment Analysis. IEEE ACM Trans. Audio Speech Lang. Process. Juhua Liu, Qihuang Zhong, Liang Ding, Hua Jin, Bo Du, Dacheng Tao
2023	J	`jnl`	Zero-Shot Sharpness-Aware Quantization for Pre-trained Language Models. CoRR Miaoxi Zhu, Qihuang Zhong, Li Shen, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
2023	A*	`conf`	Zero-shot Sharpness-Aware Quantization for Pre-trained Language Models. EMNLP Miaoxi Zhu, Qihuang Zhong, Li Shen, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
2022	B	`conf`	A Contrastive Cross-Channel Data Augmentation Framework for Aspect-Based Sentiment Analysis. COLING Bing Wang, Liang Ding, Qihuang Zhong, Ximing Li, Dacheng Tao
2022	J	`jnl`	A Contrastive Cross-Channel Data Augmentation Framework for Aspect-based Sentiment Analysis. CoRR Bing Wang, Liang Ding, Qihuang Zhong, Ximing Li, Dacheng Tao
2022	J	`jnl`	E2S2: Encoding-Enhanced Sequence-to-Sequence Pretraining for Language Understanding and Generation. CoRR Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
2022	—	`conf`	Improving Sharpness-Aware Minimization with Fisher Mask for Better Generalization on Language Models. EMNLP (Findings) Qihuang Zhong, Liang Ding, Li Shen, Peng Mi, Juhua Liu, Bo Du, Dacheng Tao
2022	J	`jnl`	Improving Sharpness-Aware Minimization with Fisher Mask for Better Generalization on Language Models. CoRR Qihuang Zhong, Liang Ding, Li Shen, Peng Mi, Juhua Liu, Bo Du, Dacheng Tao
2022	J	`jnl`	Knowledge Graph Augmented Network Towards Multiview Representation Learning for Aspect-based Sentiment Analysis. CoRR Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Hua Jin, Dacheng Tao
2022	J	`jnl`	PANDA: Prompt Transfer Meets Knowledge Distillation for Efficient Model Adaptation. CoRR Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
2022	J	`jnl`	Toward Efficient Language Model Pretraining and Downstream Adaptation via Self-Evolution: A Case Study on SuperGLUE. CoRR 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
2021	J	`jnl`	Unified Instance and Knowledge Alignment Pretraining for Aspect-based Sentiment Analysis. CoRR Juhua Liu, Qihuang Zhong, Liang Ding, Hua Jin, Bo Du, Dacheng Tao
2020	J	`jnl`	SemiText: Scene text detection with semi-supervised learning. Neurocomputing Juhua Liu, Qihuang Zhong, Yuan Yuan, Hai Su, Bo Du