{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,17]],"date-time":"2026-02-17T03:40:41Z","timestamp":1771299641066,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":34,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,5,13]],"date-time":"2024-05-13T00:00:00Z","timestamp":1715558400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,5,13]]},"DOI":"10.1145\/3589334.3645408","type":"proceedings-article","created":{"date-parts":[[2024,5,8]],"date-time":"2024-05-08T07:08:13Z","timestamp":1715152093000},"page":"3367-3378","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":14,"title":["Learning to Rewrite Prompts for Personalized Text Generation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0678-1357","authenticated-orcid":false,"given":"Cheng","family":"Li","sequence":"first","affiliation":[{"name":"Google Research, Mountain View, CA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1685-2895","authenticated-orcid":false,"given":"Mingyang","family":"Zhang","sequence":"additional","affiliation":[{"name":"Google Research, Mountain View, CA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8640-1942","authenticated-orcid":false,"given":"Qiaozhu","family":"Mei","sequence":"additional","affiliation":[{"name":"University of Michigan, Ann Arbor, MI, USA"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-2201-0127","authenticated-orcid":false,"given":"Weize","family":"Kong","sequence":"additional","affiliation":[{"name":"Google Research, Mountain View, CA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2941-6240","authenticated-orcid":false,"given":"Michael","family":"Bendersky","sequence":"additional","affiliation":[{"name":"Google Research, Mountain View, CA, USA"}]}],"member":"320","published-online":{"date-parts":[[2024,5,13]]},"reference":[{"key":"e_1_3_2_2_1_1","unstructured":"Rohan Anil Andrew M Dai Orhan Firat Melvin Johnson Dmitry Lepikhin Alexandre Passos Siamak Shakeri Emanuel Taropa Paige Bailey Zhifeng Chen et al. 2023. Palm 2 technical report. arXiv preprint arXiv:2305.10403 (2023)."},{"key":"e_1_3_2_2_2_1","volume-title":"Sujay Kumar Jauhar, et al","author":"Baek Jinheon","year":"2023","unstructured":"Jinheon Baek, Nirupama Chandrasekaran, Silviu Cucerzan, Sujay Kumar Jauhar, et al. 2023. Knowledge-Augmented Large Language Models for Personalized Contextual Query Suggestion. arXiv preprint arXiv:2311.06318 (2023)."},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.emnlp-main.222"},{"key":"e_1_3_2_2_4_1","volume-title":"Beam Search Strategies for Neural Machine Translation. ACL 2017","author":"Freitag Markus","year":"2017","unstructured":"Markus Freitag and Yaser Al-Onaizan. 2017. Beam Search Strategies for Neural Machine Translation. ACL 2017 (2017), 56."},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.295"},{"key":"e_1_3_2_2_6_1","unstructured":"Yong-Bing GAO Jun-Tian GAO Rong MA and Li-Dong YANG. [n.d.]. Research on user granularity-level personalized social text generation technology. Journal of Computer Applications ( [n. d.]) 0."},{"key":"e_1_3_2_2_7_1","unstructured":"Han Guo Bowen Tan Zhengzhong Liu Eric Xing and Zhiting Hu. 2021. Text Generation with Efficient (Soft) $ Q $-Learning. (2021)."},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.eacl-main.316"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00324"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.243"},{"key":"e_1_3_2_2_11_1","first-page":"9459","article-title":"Retrieval-augmented generation for knowledge-intensive nlp tasks","volume":"33","author":"Lewis Patrick","year":"2020","unstructured":"Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich K\u00fcttler, Mike Lewis, Wen-tau Yih, Tim Rockt\"aschel, et al. 2020. Retrieval-augmented generation for knowledge-intensive nlp tasks. Advances in Neural Information Processing Systems, Vol. 33 (2020), 9459--9474.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_2_12_1","volume-title":"Yi Liang, and Michael Bendersky.","author":"Li Cheng","year":"2023","unstructured":"Cheng Li, Mingyang Zhang, Qiaozhu Mei, Yaqing Wang, Spurthi Amba Hombaiah, Yi Liang, and Michael Bendersky. 2023. Teach LLMs to Personalize--An Approach inspired by Writing Education. arXiv preprint arXiv:2308.07968 (2023)."},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3411893"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1319"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.353"},{"key":"e_1_3_2_2_16_1","volume-title":"Rouge: A package for automatic evaluation of summaries. In Text summarization branches out. 74--81.","author":"Lin Chin-Yew","year":"2004","unstructured":"Chin-Yew Lin. 2004. Rouge: A package for automatic evaluation of summaries. In Text summarization branches out. 74--81."},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1298"},{"key":"e_1_3_2_2_18_1","volume-title":"Jennifer Neville, and Tara Safavi.","author":"Mysore Sheshera","year":"2023","unstructured":"Sheshera Mysore, Zhuoran Lu, Mengting Wan, Longqi Yang, Steve Menezes, Tina Baghaee, Emmanuel Barajas Gonzalez, Jennifer Neville, and Tara Safavi. 2023. PEARL: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers. arXiv preprint arXiv:2311.09180 (2023)."},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1018"},{"key":"e_1_3_2_2_20_1","volume-title":"Avocado research email collection","author":"Oard Douglas","year":"2015","unstructured":"Douglas Oard, William Webber, David Kirsch, and Sergey Golitsynskiy. 2015. Avocado research email collection. Philadelphia: Linguistic Data Consortium (2015)."},{"key":"e_1_3_2_2_21_1","volume-title":"Proceedings of the 40th annual meeting of the Association for Computational Linguistics. 311--318","author":"Papineni Kishore","year":"2002","unstructured":"Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002. Bleu: a method for automatic evaluation of machine translation. In Proceedings of the 40th annual meeting of the Association for Computational Linguistics. 311--318."},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3463239"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.5555\/3455716.3455856"},{"key":"e_1_3_2_2_24_1","volume-title":"LaMP: When Large Language Models Meet Personalization. arXiv preprint arXiv:2304","author":"Salemi Alireza","year":"2023","unstructured":"Alireza Salemi, Sheshera Mysore, Michael Bendersky, and Hamed Zamani. 2023. LaMP: When Large Language Models Meet Personalization. arXiv preprint arXiv:2304.11406 (2023)."},{"key":"e_1_3_2_2_25_1","volume-title":"Proximal policy optimization algorithms. arXiv preprint arXiv:1707.06347","author":"Schulman John","year":"2017","unstructured":"John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, and Oleg Klimov. 2017. Proximal policy optimization algorithms. arXiv preprint arXiv:1707.06347 (2017)."},{"key":"e_1_3_2_2_26_1","volume-title":"International Conference on Machine Learning. PMLR, 4596--4604","author":"Shazeer Noam","year":"2018","unstructured":"Noam Shazeer and Mitchell Stern. 2018. Adafactor: Adaptive learning rates with sublinear memory cost. In International Conference on Machine Learning. PMLR, 4596--4604."},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.346"},{"key":"e_1_3_2_2_28_1","unstructured":"Khrystyna Skopyk Artem Chernodub and Vipul Raheja. [n.d.]. Personalizing Large Language Models. ( [n. d.])."},{"key":"e_1_3_2_2_29_1","unstructured":"Stuck_In_the_Matrix. 2015. Reddit Public Comments (2007--10 through 2015-05). (2015). https:\/\/www.reddit.com\/r\/datasets\/comments\/3bxlg7\/i_have_every_publicly_available_reddit_comment\/"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.naacl-main.157"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1205"},{"key":"e_1_3_2_2_32_1","volume-title":"The Eleventh International Conference on Learning Representations.","author":"Zhang Tianjun","year":"2022","unstructured":"Tianjun Zhang, Xuezhi Wang, Denny Zhou, Dale Schuurmans, and Joseph E Gonzalez. 2022. Tempera: Test-time prompt editing via reinforcement learning. In The Eleventh International Conference on Learning Representations."},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.naacl-main.426"},{"key":"e_1_3_2_2_34_1","volume-title":"Ziwen Han, Keiran Paster, Silviu Pitis, Harris Chan, and Jimmy Ba.","author":"Zhou Yongchao","year":"2022","unstructured":"Yongchao Zhou, Andrei Ioan Muresanu, Ziwen Han, Keiran Paster, Silviu Pitis, Harris Chan, and Jimmy Ba. 2022. Large language models are human-level prompt engineers. arXiv preprint arXiv:2211.01910 (2022)."}],"event":{"name":"WWW '24: The ACM Web Conference 2024","location":"Singapore Singapore","acronym":"WWW '24","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"]},"container-title":["Proceedings of the ACM Web Conference 2024"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3589334.3645408","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3589334.3645408","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T00:23:57Z","timestamp":1755822237000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3589334.3645408"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,13]]},"references-count":34,"alternative-id":["10.1145\/3589334.3645408","10.1145\/3589334"],"URL":"https:\/\/doi.org\/10.1145\/3589334.3645408","relation":{},"subject":[],"published":{"date-parts":[[2024,5,13]]},"assertion":[{"value":"2024-05-13","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}