Jianghao Lin

发表

An Adversarial Imitation Click Model for Information Retrieval

Weinan Zhang, Jianye Hao, Shuai Li, 2021, WWW.

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

Weinan Zhang, Ruiming Tang, Bo Chen, 2023, ACM Transactions on Information Systems.

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

Weinan Zhang, Ruiming Tang, Wei Guo, 2023, KDD.

Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models

Weinan Zhang, Rui Zhang, Jieming Zhu, 2023, ArXiv.

A Graph-Enhanced Click Model for Web Search

Yong Yu, Jianye Hao, Ruiming Tang, 2021, SIGIR.

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

Yanru Qu, Hangyu Wang, Xinyi Dai, 2023, WWW.

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

Weinan Zhang, Ruiming Tang, Bo Chen, 2023, ArXiv.

FLIP: Towards Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR Prediction

Hangyu Wang, Chenxu Zhu, Jianghao Lin, 2023, 2310.19453.

Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models

Weinan Zhang, Rui Zhang, Jieming Zhu, 2023, ArXiv.

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

Chenxu Zhu, Jianghao Lin, Xiangyang Li, 2023, ArXiv.

CodeApex: A Bilingual Programming Evaluation Benchmark for Large Language Models

Kounianhua Du, Kangning Zhang, Weinan Zhang, 2023, ArXiv.

Play to Your Strengths: Collaborative Intelligence of Conventional Recommender Models and Large Language Models

Weiwen Liu, Yunjia Xi, Jianghao Lin, 2024, 2403.16378.

Retrieval-Oriented Knowledge for Click-Through Rate Prediction

Huanshuo Liu, Jiarui Qin, Jianghao Lin, 2024, ArXiv.

Efficient and Deployable Knowledge Infusion for Open-World Recommendations via Large Language Models

Weiwen Liu, Yunjia Xi, Jianghao Lin, 2024, 2408.10520.