{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T09:18:36Z","timestamp":1771924716793,"version":"3.50.1"},"reference-count":31,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T00:00:00Z","timestamp":1760832000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T00:00:00Z","timestamp":1760832000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,10,19]]},"DOI":"10.1109\/iccvw69036.2025.00632","type":"proceedings-article","created":{"date-parts":[[2026,2,23]],"date-time":"2026-02-23T20:44:02Z","timestamp":1771879442000},"page":"6069-6078","source":"Crossref","is-referenced-by-count":0,"title":["Align Before You Recommend: Parameter Efficient Personalization via Cross-Attentive Fusion of Hierarchical Language Models"],"prefix":"10.1109","author":[{"given":"Alicja","family":"Kwasniewska","sequence":"first","affiliation":[{"name":"Amazon Web Services"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marcin","family":"Bednarz","sequence":"additional","affiliation":[{"name":"Amazon Web Services"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chad","family":"Neal","sequence":"additional","affiliation":[{"name":"Amazon Web Services"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","first-page":"4","volume-title":"Smollm-blazingly fast and remarkably powerful","author":"Ben Allal","year":"2024"},{"key":"ref2","first-page":"8","article-title":"Small language models are the future of agentic ai","author":"Belcak","year":"2025","journal-title":"arXiv preprint"},{"key":"ref3","first-page":"8","article-title":"Hllm: Enhancing sequential recommendations via hierarchical large language models for item and user modeling","author":"Chen","year":"2024","journal-title":"arXiv preprint"},{"key":"ref4","first-page":"8","article-title":"In-tegrating multi-head convolutional encoders with cross-attention for improved sparql query translation","author":"Chen","year":"2024","journal-title":"arXiv preprint"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/2827872"},{"key":"ref6","first-page":"1","article-title":"Session-based recommendations with recurrent neural networks","author":"Hidasi","year":"2015","journal-title":"arXiv preprint"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1111\/poms.14075"},{"key":"ref8","first-page":"1","article-title":"IMARC Group","year":"2025","journal-title":"Advertising market size and share: Global industry trends, growth and forecast 2024-2033"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v39i11.33291"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00035"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/HSI.2017.8004993"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/IECON.2019.8927153"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657690"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3726302.3730211"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.findings-emnlp.643"},{"key":"ref16","article-title":"Smolvlm: Redefining small and efficient multimodal models","author":"Marafioti","year":"2025","journal-title":"arXiv preprint"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2015.04.004"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.29007\/1mjd"},{"key":"ref19","author":"Szemraj","year":"2025","journal-title":"smol_1lamal Ol mgqa (re-vision 9c9c090)"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645458"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/1772690.1772773"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-91979-4_7"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.54254\/2755-2721\/2025.21949"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357895"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.eng.2022.04.024"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/HSI.2018.8431363"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539382"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301346"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.emnlp-main.446"},{"key":"ref30","article-title":"Aligngpt: Multi-modal large language models with adaptive alignment capability","author":"Zhao","year":"2024","journal-title":"arXiv preprint"},{"key":"ref31","article-title":"Deep interest evolution network for click-through rate prediction","author":"Zhou","year":"2018","journal-title":"arXiv preprint"}],"event":{"name":"2025 IEEE\/CVF International Conference on Computer Vision Workshops (ICCVW)","location":"Honolulu, HI, USA","start":{"date-parts":[[2025,10,19]]},"end":{"date-parts":[[2025,10,20]]}},"container-title":["2025 IEEE\/CVF International Conference on Computer Vision Workshops (ICCVW)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11373940\/11374285\/11374313.pdf?arnumber=11374313","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T08:28:32Z","timestamp":1771921712000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11374313\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,19]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/iccvw69036.2025.00632","relation":{},"subject":[],"published":{"date-parts":[[2025,10,19]]}}}