Haoqi Zheng

According to our database, Haoqi Zheng authored at least 8 papers between 2023 and 2025.

Collaborative distances:

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

2025

Enhancing Vector Data Quality through Negative Learning for Retrieval-augmented Large Models.

Limei Yao, Kexin Ma, Ruochun Jin, Haoqi Zheng, Dong Wang

Proceedings of the International Joint Conference on Neural Networks, 2025

TimeRAG: Boosting LLM Time Series Forecasting via Retrieval-Augmented Generation.

Silin Yang, Dong Wang, Haoqi Zheng, Ruochun Jin

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

TALON: A Multi-Agent Framework for Long-Table Exploration and Question Answering.

Ruochun Jin, Xiyue Wang, Dong Wang, Haoqi Zheng, Yunpeng Qi, Silin Yang, Meng Zhang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

TableCritic: Refine Table Reasoning via Self-Criticism and Tool Library.

Ruochun Jin, Dong Wang, Xiyue Wang, Haoqi Zheng

Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025

Logical DA: Enhancing Data Augmentation for Logical Reasoning via a Multi-Agent System.

Haoqi Zheng, DongWang DongWang, Silin Yang, Yunpeng Qi, Ruochun Jin, Liyang Xu

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation.

Shilong Pan, Zhiliang Tian, Liang Ding, Haoqi Zheng, Zhen Huang, Zhihua Wen, Dongsheng Li

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks.

Haoqi Zheng, Qihuang Zhong, Liang Ding, Zhiliang Tian, Xin Niu, Dongsheng Li, Dacheng Tao

CoRR, 2023

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

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