Enhancing Personalized Headline Generation via Offline Goal-conditioned Reinforcement Learning with Large Language Models

Author:

Tan Xiaoyu1ORCID,Cheng Leijun2ORCID,Qiu Xihe2ORCID,Shi Shaojie2ORCID,Cheng Yuan3ORCID,Chu Wei1ORCID,Xu Yinghui3ORCID,Qi Yuan3ORCID

Affiliation:

1. INF Technology (Shanghai) Co., Ltd., Shanghai, China

2. School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai, China

3. AI3 Institute, Fudan University, Shanghai, China

Funder

National Natural Science Foundation of China

Shanghai Municipal Natural Science Foundation

Publisher

ACM

Reference51 articles.

1. 01. AI, :, Alex Young, Bei Chen, Chao Li, Chengen Huang, Ge Zhang, Guanwei Zhang, Heng Li, Jiangcheng Zhu, Jianqun Chen, Jing Chang, Kaidong Yu, Peng Liu, Qiang Liu, Shawn Yue, Senbin Yang, Shiming Yang, Tao Yu,Wen Xie,Wenhao Huang, Xiaohui Hu, Xiaoyi Ren, Xinyao Niu, Pengcheng Nie, Yuchi Xu, Yudong Liu, Yue Wang, Yuxuan Cai, Zhenyu Gu, Zhiyuan Liu, and Zonghong Dai. 2024. Yi: Open Foundation Models by 01.AI. arXiv:2403.04652 [cs.CL]

2. Enrique Alfonseca, Daniele Pighin, and Guillermo Garrido. 2013. Heady: News headline abstraction through event pattern clustering. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 1243--1253.

3. Neural News Recommendation with Long- and Short-term User Representations

4. Marcin Andrychowicz Anton Raichuk Piotr Sta?czyk Manu Orsini Sertan Girgin Raphael Marinier Léonard Hussenot Matthieu Geist Olivier Pietquin Marcin Michalski et al. 2020. What matters in on-policy reinforcement learning? a large-scale empirical study. arXiv preprint arXiv:2006.05990 (2020).

5. PENS: A Dataset and Generic Framework for Personalized News Headline Generation

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