Kaixin Wu

According to our database, Kaixin Wu authored at least 12 papers between 2021 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

GradOT: Training-free Gradient-preserving Offsite-tuning for Large Language Models.

Kai Yao, Zhaorui Tan, Penglei Gao, Lichun Li, Kaixin Wu, Yinggui Wang, Yuan Zhao, Yixin Ji, Jianke Zhu, Wei Wang

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

2024

Panoramic Video Inter Frame Prediction and Viewport Prediction Based on Background Modeling.

Changli Wang, Xingtao Wang, Kaixin Wu, Xiaopeng Fan

Proceedings of the Advanced Intelligent Computing Technology and Applications, 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

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

Hybrid Control Strategy for Rumor Spread in Social Networks.

Haiyan Zi, Shixing Wu, Kaixin Wu

IAIC (3), 2023

2022

Speeding up Transformer Decoding via an Attention Refinement Network.

Kaixin Wu, Yue Zhang, Bojie Hu, Tong Zhang

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

TenTrans High-Performance Inference Toolkit for WMT2021 Efficiency Task.

Kaixin Wu, Bojie Hu, Qi Ju

Proceedings of the Sixth Conference on Machine Translation, 2021