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Jianghao Lin

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Mamba4Rec: Towards Efficient Sequential Recommendation with Selective State Space Models

Mar 06, 2024
Chengkai Liu, Jianghao Lin, Jianling Wang, Hanzhou Liu, James Caverlee

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Towards Efficient and Effective Unlearning of Large Language Models for Recommendation

Mar 06, 2024
Hangyu Wang, Jianghao Lin, Bo Chen, Yang Yang, Ruiming Tang, Weinan Zhang, Yong Yu

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ALT: Towards Fine-grained Alignment between Language and CTR Models for Click-Through Rate Prediction

Oct 30, 2023
Hangyu Wang, Jianghao Lin, Xiangyang Li, Bo Chen, Chenxu Zhu, Ruiming Tang, Weinan Zhang, Yong Yu

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ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction

Oct 17, 2023
Jianghao Lin, Bo Chen, Hangyu Wang, Yunjia Xi, Yanru Qu, Xinyi Dai, Kangning Zhang, Ruiming Tang, Yong Yu, Weinan Zhang

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CodeApex: A Bilingual Programming Evaluation Benchmark for Large Language Models

Sep 10, 2023
Lingyue Fu, Huacan Chai, Shuang Luo, Kounianhua Du, Weiming Zhang, Longteng Fan, Jiayi Lei, Renting Rui, Jianghao Lin, Yuchen Fang, Yifan Liu, Jingkuan Wang, Siyuan Qi, Kangning Zhang, Weinan Zhang, Yong Yu

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ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation

Aug 22, 2023
Jianghao Lin, Rong Shan, Chenxu Zhu, Kounianhua Du, Bo Chen, Shigang Quan, Ruiming Tang, Yong Yu, Weinan Zhang

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MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction

Aug 03, 2023
Jianghao Lin, Yanru Qu, Wei Guo, Xinyi Dai, Ruiming Tang, Yong Yu, Weinan Zhang

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How Can Recommender Systems Benefit from Large Language Models: A Survey

Jun 28, 2023
Jianghao Lin, Xinyi Dai, Yunjia Xi, Weiwen Liu, Bo Chen, Xiangyang Li, Chenxu Zhu, Huifeng Guo, Yong Yu, Ruiming Tang, Weinan Zhang

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