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Wayne Xin Zhao

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Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint

Jan 11, 2024
Zhipeng Chen, Kun Zhou, Wayne Xin Zhao, Junchen Wan, Fuzheng Zhang, Di Zhang, Ji-Rong Wen

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Prompting Large Language Models for Recommender Systems: A Comprehensive Framework and Empirical Analysis

Jan 10, 2024
Lanling Xu, Junjie Zhang, Bingqian Li, Jinpeng Wang, Mingchen Cai, Wayne Xin Zhao, Ji-Rong Wen

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Data-CUBE: Data Curriculum for Instruction-based Sentence Representation Learning

Jan 07, 2024
Yingqian Min, Kun Zhou, Dawei Gao, Wayne Xin Zhao, He Hu, Yaliang Li

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The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models

Jan 06, 2024
Junyi Li, Jie Chen, Ruiyang Ren, Xiaoxue Cheng, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen

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Distillation is All You Need for Practically Using Different Pre-trained Recommendation Models

Jan 01, 2024
Wenqi Sun, Ruobing Xie, Junjie Zhang, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen

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ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained Language Models for Question Answering over Knowledge Graph

Dec 30, 2023
Jinhao Jiang, Kun Zhou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen

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Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation

Nov 28, 2023
Bowen Zheng, Yupeng Hou, Hongyu Lu, Yu Chen, Wayne Xin Zhao, Ming Chen, Ji-Rong Wen

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UFIN: Universal Feature Interaction Network for Multi-Domain Click-Through Rate Prediction

Nov 27, 2023
Zhen Tian, Changwang Zhang, Wayne Xin Zhao, Xin Zhao, Ji-Rong Wen, Zhao Cao

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Scaling Law of Large Sequential Recommendation Models

Nov 19, 2023
Gaowei Zhang, Yupeng Hou, Hongyu Lu, Yu Chen, Wayne Xin Zhao, Ji-Rong Wen

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