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Kaixin Wu
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2020 – today
- 2025
- [i4]Yixin Ji, Juntao Li, Hai Ye, Kaixin Wu, Jia Xu, Linjian Mo, Min Zhang:
Test-time Computing: from System-1 Thinking to System-2 Thinking. CoRR abs/2501.02497 (2025) - 2024
- [c6]Hong Liu
, Saisai Gong
, Yixin Ji
, Kaixin Wu
, Jia Xu
, Jinjie Gu
:
Boosting LLM-based Relevance Modeling with Distribution-Aware Robust Learning. CIKM 2024: 4718-4725 - [c5]Yixin Ji, Kaixin Wu, Juntao Li, Wei Chen, Mingjie Zhong, Xu Jia, Min Zhang:
Retrieval and Reasoning on KGs: Integrate Knowledge Graphs into Large Language Models for Complex Question Answering. EMNLP (Findings) 2024: 7598-7610 - [c4]Changli Wang, Xingtao Wang, Kaixin Wu, Xiaopeng Fan:
Panoramic Video Inter Frame Prediction and Viewport Prediction Based on Background Modeling. ICIC (10) 2024: 261-272 - [i3]Zeyuan Chen, Haiyan Wu, Kaixin Wu, Wei Chen, Mingjie Zhong, Jia Xu, Zhongyi Liu, Wei Zhang:
Towards Boosting LLMs-driven Relevance Modeling with Progressive Retrieved Behavior-augmented Prompting. CoRR abs/2408.09439 (2024) - [i2]Kaixin Wu, Yixin Ji, Zeyuan Chen, Qiang Wang, Cunxiang Wang, Hong Liu, Baijun Ji, Jia Xu, Zhongyi Liu, Jinjie Gu, Yuan Zhou, Linjian Mo:
CPRM: A LLM-based Continual Pre-training Framework for Relevance Modeling in Commercial Search. CoRR abs/2412.01269 (2024) - [i1]Hong Liu, Saisai Gong, Yixin Ji, Kaixin Wu, Jia Xu, Jinjie Gu:
Boosting LLM-based Relevance Modeling with Distribution-Aware Robust Learning. CoRR abs/2412.12504 (2024) - 2023
- [c3]Haiyan Zi, Shixing Wu, Kaixin Wu:
Hybrid Control Strategy for Rumor Spread in Social Networks. IAIC (3) 2023: 198-210 - 2022
- [c2]Kaixin Wu, Yue Zhang, Bojie Hu, Tong Zhang:
Speeding up Transformer Decoding via an Attention Refinement Network. COLING 2022: 5109-5118 - 2021
- [c1]Kaixin Wu, Bojie Hu, Qi Ju:
TenTrans High-Performance Inference Toolkit for WMT2021 Efficiency Task. WMT@EMNLP 2021: 795-798
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last updated on 2025-02-19 00:42 CET by the dblp team
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