Hanxing Ding

According to our database, Hanxing Ding authored at least 12 papers between 2019 and 2025.

Collaborative distances:

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

2025

Revisiting Robust RAG: Do We Still Need Complex Robust Training in the Era of Powerful LLMs?

Hanxing Ding, Shuchang Tao, Liang Pang, Zihao Wei, Liwei Chen, Kun Xu, Huawei Shen, Xueqi Cheng

CoRR, February, 2025

On the Diminishing Returns of Complex Robust RAG Training in the Era of Powerful LLMs.

Hanxing Ding, Shuchang Tao, Liang Pang, Zihao Wei, Liwei Chen, Kun Xu, Huawei Shen, Xueqi Cheng

Proceedings of the 2025 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2025

Rowen: Adaptive Retrieval-Augmented Generation for Hallucination Mitigation in LLMs.

Hanxing Ding, Liang Pang, Zihao Wei, Huawei Shen, Xueqi Cheng

Proceedings of the 2025 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2025

Everything is Editable: Extend Knowledge Editing to Unstructured Data in Large Language Models.

Jingcheng Deng, Zihao Wei, Liang Pang, Hanxing Ding, Huawei Shen, Xueqi Cheng

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

MLaKE: Multilingual Knowledge Editing Benchmark for Large Language Models.

Zihao Wei, Jingcheng Deng, Liang Pang, Hanxing Ding, Huawei Shen, Xueqi Cheng

Proceedings of the 31st International Conference on Computational Linguistics, 2025

ToolCoder: A Systematic Code-Empowered Tool Learning Framework for Large Language Models.

Hanxing Ding, Shuchang Tao, Liang Pang, Zihao Wei, Jinyang Gao, Bolin Ding, Huawei Shen, Xueqi Cheng

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

UnKE: Unstructured Knowledge Editing in Large Language Models.

Jingcheng Deng, Zihao Wei, Liang Pang, Hanxing Ding, Huawei Shen, Xueqi Cheng

CoRR, 2024

Stable Knowledge Editing in Large Language Models.

Zihao Wei, Liang Pang, Hanxing Ding, Jingcheng Deng, Huawei Shen, Xueqi Cheng

CoRR, 2024

Retrieve Only When It Needs: Adaptive Retrieval Augmentation for Hallucination Mitigation in Large Language Models.

Hanxing Ding, Liang Pang, Zihao Wei, Huawei Shen, Xueqi Cheng

CoRR, 2024

When to Trust LLMs: Aligning Confidence with Response Quality.

Shuchang Tao, Liuyi Yao, Hanxing Ding, Yuexiang Xie, Qi Cao, Fei Sun, Jinyang Gao, Huawei Shen, Bolin Ding

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

2023

MacLaSa: Multi-Aspect Controllable Text Generation via Efficient Sampling from Compact Latent Space.

Hanxing Ding, Liang Pang, Zihao Wei, Huawei Shen, Xueqi Cheng, Tat-Seng Chua

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2019

ICTNET at TREC 2019 News Track.

Yuyang Ding, Xiaoying Lian, Houquan Zhou, Zhaoge Liu, Hanxing Ding, Zhongni Hou

Proceedings of the Twenty-Eighth Text REtrieval Conference, 2019