Jia Xu

According to our database, Jia Xu authored at least 12 papers between 2023 and 2025.

Collaborative distances:

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

2025

Test-time Computing: from System-1 Thinking to System-2 Thinking.

Yixin Ji, Juntao Li, Hai Ye, Kaixin Wu, Jia Xu, Linjian Mo, Min Zhang

CoRR, January, 2025

MAAQR: An LLM-based Multi-Agent Framework for Adaptive Query Rewriting in Alipay Search.

Qi Zheng, Mingjie Zhong, Saisai Gong, Huimin Jiang, Kaixin Wu, Hong Liu, Jia Xu, Linjian Mo

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Alleviating LLM-based Generative Retrieval Hallucination in Alipay Search.

Yedan Shen, Kaixin Wu, Yuechen Ding, Jingyuan Wen, Hong Liu, Mingjie Zhong, Zhouhan Lin, Jia Xu, Linjian Mo

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

CPRM: A LLM-based Continual Pre-training Framework for Relevance Modeling in Commercial Search.

Kaixin Wu, Yixin Ji, Zeyuan Chen, Qiang Wang, Cunxiang Wang, Hong Liu, Baijun Ji, Jia Xu, Zhongyi Liu, Jinjie Gu, Yuan Zhou, Linjian Mo

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Towards Boosting LLMs-driven Relevance Modeling with Progressive Retrieved Behavior-augmented Prompting.

Zeyuan Chen, Haiyan Wu, Kaixin Wu, Wei Chen, Mingjie Zhong, Jia Xu, Zhongyi Liu, Wei Zhang

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

2024

Unify Graph Learning with Text: Unleashing LLM Potentials for Session Search.

Songhao Wu, Quan Tu, Hong Liu, Jia Xu, Zhongyi Liu, Guannan Zhang, Ran Wang, Xiuying Chen, Rui Yan

Proceedings of the ACM on Web Conference 2024, 2024

LLMGR: Large Language Model-based Generative Retrieval in Alipay Search.

Wei Chen, Yixin Ji, Zeyuan Chen, Jia Xu, Zhongyi Liu

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Retrieval and Reasoning on KGs: Integrate Knowledge Graphs into Large Language Models for Complex Question Answering.

Yixin Ji, Kaixin Wu, Juntao Li, Wei Chen, Mingjie Zhong, Jia Xu, Min Zhang

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

Bridge the Gap between Past and Future: Siamese Model Optimization for Context-Aware Document Ranking.

Songhao Wu, Quan Tu, Mingjie Zhong, Hong Liu, Jia Xu, Jinjie Gu, Rui Yan

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Boosting LLM-based Relevance Modeling with Distribution-Aware Robust Learning.

Hong Liu, Saisai Gong, Yixin Ji, Kaixin Wu, Jia Xu, Jinjie Gu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Dual-Modal Attention-Enhanced Text-Video Retrieval with Triplet Partial Margin Contrastive Learning.

Chen Jiang, Hong Liu, Xuzheng Yu, Qing Wang, Yuan Cheng, Jia Xu, Zhongyi Liu, Qingpei Guo, Wei Chu, Ming Yang, Yuan Qi

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Beyond Semantics: Learning a Behavior Augmented Relevance Model with Self-supervised Learning.

Zeyuan Chen, Wei Chen, Jia Xu, Zhongyi Liu, Wei Zhang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023