Jia Xu

20 papers A* 5A 3Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2025 A* conf
Alleviating LLM-based Generative Retrieval Hallucination in Alipay Search.
SIGIR
Yedan Shen, Kaixin Wu, Yuechen Ding, Jingyuan Wen, Hong Liu, Mingjie Zhong, Zhouhan Lin, Jia Xu, Linjian Mo
2025 J jnl
Alleviating LLM-based Generative Retrieval Hallucination in Alipay Search.
CoRR
Yedan Shen, Kaixin Wu, Yuechen Ding, Jingyuan Wen, Hong Liu, Mingjie Zhong, Zhouhan Lin, Jia Xu, Linjian Mo
2025 J jnl
Bridge the Gap between Past and Future: Siamese Model Optimization for Context-Aware Document Ranking.
CoRR
Songhao Wu, Quan Tu, Mingjie Zhong, Hong Liu, Jia Xu, Jinjie Gu, Rui Yan
2025 — conf
CPRM: A LLM-based Continual Pre-training Framework for Relevance Modeling in Commercial Search.
NAACL (Industry Track)
Kaixin Wu, Yixin Ji, Zeyuan Chen, Qiang Wang, Cunxiang Wang, Hong Liu, Baijun Ji, Jia Xu, Zhongyi Liu, Jinjie Gu, Yuan Zhou, Linjian Mo
2025 A* conf
MAAQR: An LLM-based Multi-Agent Framework for Adaptive Query Rewriting in Alipay Search.
SIGIR
Qi Zheng, Mingjie Zhong, Saisai Gong, Huimin Jiang, Kaixin Wu, Hong Liu, Jia Xu, Linjian Mo
2025 J jnl
Test-time Computing: from System-1 Thinking to System-2 Thinking.
CoRR
Yixin Ji, Juntao Li, Hai Ye, Kaixin Wu, Jia Xu, Linjian Mo, Min Zhang
2025 — conf
Towards Boosting LLMs-driven Relevance Modeling with Progressive Retrieved Behavior-augmented Prompting.
COLING (Industry)
Zeyuan Chen, Haiyan Wu, Kaixin Wu, Wei Chen, Mingjie Zhong, Jia Xu, Zhongyi Liu, Wei Zhang
2025 J jnl
Unify Graph Learning with Text: Unleashing LLM Potentials for Session Search.
CoRR
Songhao Wu, Quan Tu, Hong Liu, Jia Xu, Zhongyi Liu, Guannan Zhang, Ran Wang, Xiuying Chen, Rui Yan
2024 A conf
Boosting LLM-based Relevance Modeling with Distribution-Aware Robust Learning.
CIKM
Hong Liu, Saisai Gong, Yixin Ji, Kaixin Wu, Jia Xu, Jinjie Gu
2024 J jnl
Boosting LLM-based Relevance Modeling with Distribution-Aware Robust Learning.
CoRR
Hong Liu, Saisai Gong, Yixin Ji, Kaixin Wu, Jia Xu, Jinjie Gu
2024 A conf
Bridge the Gap between Past and Future: Siamese Model Optimization for Context-Aware Document Ranking.
CIKM
Songhao Wu, Quan Tu, Mingjie Zhong, Hong Liu, Jia Xu, Jinjie Gu, Rui Yan
2024 J jnl
CPRM: A LLM-based Continual Pre-training Framework for Relevance Modeling in Commercial Search.
CoRR
Kaixin Wu, Yixin Ji, Zeyuan Chen, Qiang Wang, Cunxiang Wang, Hong Liu, Baijun Ji, Jia Xu, Zhongyi Liu, Jinjie Gu, Yuan Zhou, Linjian Mo
2024 A* conf
LLMGR: Large Language Model-based Generative Retrieval in Alipay Search.
SIGIR
Wei Chen, Yixin Ji, Zeyuan Chen, Jia Xu, Zhongyi Liu
2024 — conf
Retrieval and Reasoning on KGs: Integrate Knowledge Graphs into Large Language Models for Complex Question Answering.
EMNLP (Findings)
Yixin Ji, Kaixin Wu, Juntao Li, Wei Chen, Mingjie Zhong, Jia Xu, Min Zhang
2024 J jnl
Towards Boosting LLMs-driven Relevance Modeling with Progressive Retrieved Behavior-augmented Prompting.
CoRR
Zeyuan Chen, Haiyan Wu, Kaixin Wu, Wei Chen, Mingjie Zhong, Jia Xu, Zhongyi Liu, Wei Zhang
2024 A* conf
Unify Graph Learning with Text: Unleashing LLM Potentials for Session Search.
WWW
Songhao Wu, Quan Tu, Hong Liu, Jia Xu, Zhongyi Liu, Guannan Zhang, Ran Wang, Xiuying Chen, Rui Yan
2023 A conf
Beyond Semantics: Learning a Behavior Augmented Relevance Model with Self-supervised Learning.
CIKM
Zeyuan Chen, Wei Chen, Jia Xu, Zhongyi Liu, Wei Zhang
2023 J jnl
Beyond Semantics: Learning a Behavior Augmented Relevance Model with Self-supervised Learning.
CoRR
Zeyuan Chen, Wei Chen, Jia Xu, Zhongyi Liu, Wei Zhang
2023 A* conf
Dual-Modal Attention-Enhanced Text-Video Retrieval with Triplet Partial Margin Contrastive Learning.
ACM Multimedia
Chen Jiang, Hong Liu, Xuzheng Yu, Qing Wang, Yuan Cheng, Jia Xu, Zhongyi Liu, Qingpei Guo, Wei Chu, Ming Yang, Yuan Qi
2023 J jnl
Dual-Modal Attention-Enhanced Text-Video Retrieval with Triplet Partial Margin Contrastive Learning.
CoRR
Chen Jiang, Hong Liu, Xuzheng Yu, Qing Wang, Yuan Cheng, Jia Xu, Zhongyi Liu, Qingpei Guo, Wei Chu, Ming Yang, Yuan Qi