{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T17:17:39Z","timestamp":1775841459349,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":14,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,4,13]]},"DOI":"10.1145\/3774904.3792950","type":"proceedings-article","created":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T21:54:39Z","timestamp":1775771679000},"page":"8725-8728","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Real-Time Trend Prediction via Continually-Aligned LLM Query Generation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-4289-8573","authenticated-orcid":false,"given":"Zijing","family":"Hui","sequence":"first","affiliation":[{"name":"Meta Platforms, Menlo Park, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-9131-6491","authenticated-orcid":false,"given":"Wenhan","family":"Lyu","sequence":"additional","affiliation":[{"name":"Meta Platforms, Menlo Park, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3928-6782","authenticated-orcid":false,"given":"Shusen","family":"Wang","sequence":"additional","affiliation":[{"name":"Meta Platforms, Menlo Park, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-3731-9050","authenticated-orcid":false,"given":"Li","family":"Chen","sequence":"additional","affiliation":[{"name":"Meta Platforms, Menlo Park, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-6627-4986","authenticated-orcid":false,"given":"Chu","family":"Wang","sequence":"additional","affiliation":[{"name":"Meta Platforms, Menlo Park, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2026,4,12]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"International Conference on Learning Representations (ICLR). https:\/\/arxiv.org\/abs\/2501","author":"Bai Chenjia","year":"2025","unstructured":"Chenjia Bai, Yifan Zhang, Xiaoyu Long, Xiaojian Ma, Yujie Wei, Canwen Xu, Yi Yang, Xu Wang, Jingtao Liu, Yiming Zhang, et al., 2025. Online Preference Alignment for Language Models via Count-based Exploration. In International Conference on Learning Representations (ICLR). https:\/\/arxiv.org\/abs\/2501.12735"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"crossref","unstructured":"Candice Djorno Mauricio Santillana and Shihao Yang. 2025. Restoring the Forecasting Power of Google Trends with Statistical Preprocessing. arXiv:2504.07032 [stat.AP] https:\/\/arxiv.org\/abs\/2504.07032","DOI":"10.1016\/j.ijforecast.2026.03.001"},{"key":"e_1_3_2_1_3_1","unstructured":"Dan Hendrycks Collin Burns Saurav Kadavath et al. 2021. Measuring Massive Multitask Language Understanding. arXiv preprint arXiv:2104.08773 (2021)."},{"key":"e_1_3_2_1_4_1","unstructured":"Edward J. Hu Yelong Shen Phillip Wallis Zeyuan Allen-Zhu Yuanzhi Li Shean Wang Lu Wang and Weizhu Chen. 2021. LoRA: Low-Rank Adaptation of Large Language Models. arXiv:2106.09685 [cs.CL] https:\/\/arxiv.org\/abs\/2106.09685"},{"key":"e_1_3_2_1_5_1","volume-title":"Simple and Scalable Strategies to Continually Pre-train Large Language Models. arXiv preprint arXiv:2403.08763","author":"Ibrahim Adam","year":"2024","unstructured":"Adam Ibrahim, Benjamin Th\u00e9rien, Kshitij Gupta, Mats L. Richter, Timoth\u00e9e Lesort, Eugene Belilovsky, and Irina Rish. 2024. Simple and Scalable Strategies to Continually Pre-train Large Language Models. arXiv preprint arXiv:2403.08763 (2024)."},{"key":"e_1_3_2_1_6_1","volume-title":"Examining Forgetting in Continual Pre-training of Aligned Large Language Models. arXiv preprint arXiv:2401.03129","author":"Li Chen-An","year":"2024","unstructured":"Chen-An Li and Hung-Yi Lee. 2024. Examining Forgetting in Continual Pre-training of Aligned Large Language Models. arXiv preprint arXiv:2401.03129 (2024). https:\/\/arxiv.org\/abs\/2401.03129"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/TASLPRO.2025.3606231"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/1807167.1807306"},{"key":"e_1_3_2_1_9_1","unstructured":"Jupinder Parmar Sanjev Satheesh Mostofa Patwary Mohammad Shoeybi and Bryan Catanzaro. 2024. Reuse Don't Retrain: A Recipe for Continued Pretraining of Language Models. arXiv:2407.07263 [cs.CL] https:\/\/arxiv.org\/abs\/2407.07263"},{"key":"e_1_3_2_1_10_1","unstructured":"Rafael Rafailov Archit Sharma Eric Mitchell Stefano Ermon Christopher D. Manning and Chelsea Finn. 2024. Direct Preference Optimization: Your Language Model is Secretly a Reward Model. arXiv:2305.18290 [cs.LG] https:\/\/arxiv.org\/abs\/2305.18290"},{"key":"e_1_3_2_1_11_1","volume-title":"Sutherland","author":"Ren Yi","year":"2025","unstructured":"Yi Ren and Danica J. Sutherland. 2025. Learning Dynamics of LLM Finetuning. arXiv:2407.10490 [cs.LG] https:\/\/arxiv.org\/abs\/2407.10490"},{"key":"e_1_3_2_1_12_1","volume-title":"Proceedings of the 2023 Conference on E-Commerce.","author":"Ryali Gayatri","unstructured":"Gayatri Ryali and S. Shreyas. 2023. TrendSpotter: Forecasting E-commerce Product Trends. In Proceedings of the 2023 Conference on E-Commerce."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.52202\/075280-0660"},{"key":"e_1_3_2_1_14_1","volume-title":"Full-Step-DPO: Self-Supervised Preference Optimization with Step-wise Rewards for Mathematical Reasoning. In Findings of the Association for Computational Linguistics: ACL","author":"Xu Huimin","year":"2025","unstructured":"Huimin Xu, Xin Mao, Feng-Lin Li, Xiaobao Wu, Wang Chen, Wei Zhang, and Anh Tuan Luu. 2025. Full-Step-DPO: Self-Supervised Preference Optimization with Step-wise Rewards for Mathematical Reasoning. In Findings of the Association for Computational Linguistics: ACL 2025."}],"event":{"name":"WWW '26: The ACM Web Conference 2026","location":"Dubai United Arab Emirates","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"]},"container-title":["Proceedings of the ACM Web Conference 2026"],"original-title":[],"deposited":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T16:34:15Z","timestamp":1775838855000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3774904.3792950"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4,12]]},"references-count":14,"alternative-id":["10.1145\/3774904.3792950","10.1145\/3774904"],"URL":"https:\/\/doi.org\/10.1145\/3774904.3792950","relation":{},"subject":[],"published":{"date-parts":[[2026,4,12]]},"assertion":[{"value":"2026-04-12","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}