Yiming Zhang

According to our database, Yiming Zhang authored at least 11 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

W2S: Weak-to-Strong Prompt Correction for Large Language Models.

Lirong Gao, Xinyi Wang, Hao Chen, Ru Peng, Qi Zhang, Yiming Zhang, Wentao Ye, Haoze Li, Haobo Wang, Junbo Zhao

Mach. Learn., March, 2026

2025

Table as a Modality for Large Language Models.

Liyao Li, Chao Ye, Wentao Ye, Yifei Sun, Zhe Jiang, Haobo Wang, Jiaming Tian, Yiming Zhang, Ningtao Wang, Xing Fu, Gang Chen, Junbo Zhao

CoRR, December, 2025

FLoE: Fisher-Based Layer Selection for Efficient Sparse Adaptation of Low-Rank Experts.

Xinyi Wang, Lirong Gao, Haobo Wang, Yiming Zhang, Junbo Zhao

CoRR, June, 2025

2024

Embedding and Gradient Say Wrong: A White-Box Method for Hallucination Detection.

Xiaomeng Hu, Yiming Zhang, Ru Peng, Haozhe Zhang, Chenwei Wu, Gang Chen, Junbo Zhao

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Fast Adaptation via Prompted Data: An Efficient Cross-Domain Fine-tuning Method for Large Language Models.

Yiming Zhang, Hantao Yang, Haobo Wang, Jake Zhao

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

RECOST: External Knowledge Guided Data-efficient Instruction Tuning.

Qi Zhang, Yiming Zhang, Haobo Wang, Junbo Zhao

Proceedings of the Findings of the Association for Computational Linguistics, 2024

DORY: Deliberative Prompt Recovery for LLM.

Lirong Gao, Ru Peng, Yiming Zhang, Junbo Zhao

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

TableGPT: Towards Unifying Tables, Nature Language and Commands into One GPT.

Liangyu Zha, Junlin Zhou, Liyao Li, Rui Wang, Qingyi Huang, Saisai Yang, Jing Yuan, Changbao Su, Xiang Li, Aofeng Su, Tao Zhang, Chen Zhou, Kaizhe Shou, Miao Wang, Wufang Zhu, Guoshan Lu, Chao Ye, Yali Ye, Wentao Ye, Yiming Zhang, Xinglong Deng, Jie Xu, Haobo Wang, Gang Chen, Junbo Zhao

CoRR, 2023

Maybe Only 0.5% Data is Needed: A Preliminary Exploration of Low Training Data Instruction Tuning.

Hao Chen, Yiming Zhang, Qi Zhang, Hantao Yang, Xiaomeng Hu, Xuetao Ma, Yifan Yanggong, Junbo Zhao

CoRR, 2023

Revisiting the Knowledge Injection Frameworks.

Peng Fu, Yiming Zhang, Haobo Wang, Weikang Qiu, Junbo Zhao

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Towards Unifying the Label Space for Aspect- and Sentence-based Sentiment Analysis.

Yiming Zhang, Min Zhang, Sai Wu, Junbo Zhao

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022