{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T18:06:42Z","timestamp":1784138802058,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":48,"publisher":"ACM","license":[{"start":{"date-parts":[[2026,7,19]],"date-time":"2026-07-19T00:00:00Z","timestamp":1784419200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,7,20]]},"DOI":"10.1145\/3805712.3809944","type":"proceedings-article","created":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T17:06:26Z","timestamp":1784135186000},"page":"3580-3586","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Learning to Reason for Multi-Step Retrieval of Personal Context in Personalized Question Answering"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6142-0637","authenticated-orcid":false,"given":"Maryam","family":"Amirizaniani","sequence":"first","affiliation":[{"name":"Information School, University of Washington, Seattle, WA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-1937-2615","authenticated-orcid":false,"given":"Alireza","family":"Salemi","sequence":"additional","affiliation":[{"name":"Center for Intelligent Information Retrieval, University of Massachusetts Amherst, Amherst, MA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0800-3340","authenticated-orcid":false,"given":"Hamed","family":"Zamani","sequence":"additional","affiliation":[{"name":"Center for Intelligent Information Retrieval, University of Massachusetts Amherst, Amherst, MA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,7,19]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Second Conference on Language Modeling. https:\/\/openreview.net\/forum?id=4jdIxXBNve","author":"Aggarwal Pranjal","year":"2025","unstructured":"Pranjal Aggarwal and Sean Welleck. 2025. L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning. In Second Conference on Language Modeling. https:\/\/openreview.net\/forum?id=4jdIxXBNve"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3731120.3744598"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3627673.3679832"},{"key":"e_1_3_2_1_4_1","volume-title":"When to use the B onferroni correction. Ophthalmic and physiological optics 34, 5","author":"Armstrong Richard A","year":"2014","unstructured":"Richard A Armstrong. 2014. When to use the B onferroni correction. Ophthalmic and physiological optics 34, 5 (2014), 502-508."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2025.findings-naacl.454"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2025.findings-acl.751"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2025.nllp-1.7"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3604915.3610646"},{"key":"e_1_3_2_1_9_1","volume-title":"The faiss library","author":"Douze Matthijs","year":"2025","unstructured":"Matthijs Douze, Alexandr Guzhva, Chengqi Deng, Jeff Johnson, Gergely Szilvasy, Pierre-Emmanuel Mazar\u00e9, Maria Lomeli, Lucas Hosseini, and Herv\u00e9 J\u00e9gou. 2025. The faiss library. IEEE Transactions on Big Data (2025)."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671470"},{"key":"e_1_3_2_1_11_1","unstructured":"Daya Guo Dejian Yang Haowei Zhang Junxiao Song Ruoyu Zhang Runxin Xu Qihao Zhu Shirong Ma Peiyi Wang Xiao Bi et al. 2025. Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning. arXiv preprint arXiv:2501.12948 (2025)."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.findings-emnlp.831"},{"key":"e_1_3_2_1_13_1","volume-title":"Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG. In The Thirteenth International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=oU3tpaR8fm","author":"Jin Bowen","year":"2025","unstructured":"Bowen Jin, Jinsung Yoon, Jiawei Han, and Sercan O Arik. 2025. Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG. In The Thirteenth International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=oU3tpaR8fm"},{"key":"e_1_3_2_1_14_1","volume-title":"Second Conference on Language Modeling. https:\/\/openreview.net\/forum?id=Rwhi91ideu","author":"Jin Bowen","year":"2025","unstructured":"Bowen Jin, Hansi Zeng, Zhenrui Yue, Jinsung Yoon, Sercan O Arik, Dong Wang, Hamed Zamani, and Jiawei Han. 2025. Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning. In Second Conference on Language Modeling. https:\/\/openreview.net\/forum?id=Rwhi91ideu"},{"key":"e_1_3_2_1_15_1","volume-title":"IPQA: A Benchmark for Core Intent Identification in Personalized Question Answering. arXiv preprint arXiv:2510.23536","author":"Kim Jieyong","year":"2025","unstructured":"Jieyong Kim, Maryam Amirizaniani, Soojin Yoon, and Dongha Lee. 2025. IPQA: A Benchmark for Core Intent Identification in Personalized Question Answering. arXiv preprint arXiv:2510.23536 (2025)."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2025.naacl-long.598"},{"key":"e_1_3_2_1_17_1","volume-title":"Longlamp: A benchmark for personalized long-form text generation. arXiv preprint arXiv:2407.11016","author":"Kumar Ishita","year":"2024","unstructured":"Ishita Kumar, Snigdha Viswanathan, Sushrita Yerra, Alireza Salemi, Ryan A Rossi, Franck Dernoncourt, Hanieh Deilamsalehy, Xiang Chen, Ruiyi Zhang, Shubham Agarwal, et al. 2024. Longlamp: A benchmark for personalized long-form text generation. arXiv preprint arXiv:2407.11016 (2024)."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.findings-acl.695"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2025.emnlp-main.276"},{"key":"e_1_3_2_1_20_1","volume-title":"Rec-R1: Bridging Generative Large Language Models and User-Centric Recommendation Systems via Reinforcement Learning. Transactions on Machine Learning Research","author":"Lin Jiacheng","year":"2025","unstructured":"Jiacheng Lin, Tian Wang, and Kun Qian. 2025. Rec-R1: Bridging Generative Large Language Models and User-Centric Recommendation Systems via Reinforcement Learning. Transactions on Machine Learning Research (2025). https:\/\/openreview.net\/forum?id=YBRU9MV2vE"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2025.acl-long.461"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3616855.3635845"},{"key":"e_1_3_2_1_23_1","unstructured":"Tri Nguyen Mir Rosenberg Xia Song Jianfeng Gao Saurabh Tiwary Rangan Majumder and Li Deng. 2016. Ms marco: A human-generated machine reading comprehension dataset. (2016)."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657783"},{"key":"e_1_3_2_1_25_1","volume-title":"Weize Kong, Tao Chen, Hamed Zamani, and Michael Bendersky.","author":"Salemi Alireza","year":"2025","unstructured":"Alireza Salemi, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Zhuowan Li, Spurthi Amba Hombaiah, Weize Kong, Tao Chen, Hamed Zamani, and Michael Bendersky. 2025. Pathways of Thoughts: Multi-Directional Thinking for Longform Personalized Question Answering. arXiv preprint arXiv:2509.19094 (2025)."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","unstructured":"Alireza Salemi Sheshera Mysore Michael Bendersky and Hamed Zamani. 2024. LaMP: When Large Language Models Meet Personalization. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) Lun-Wei Ku Andre Martins and Vivek Srikumar (Eds.). Association for Computational Linguistics Bangkok Thailand 7370-7392. https:\/\/doi.org\/10.18653\/v1\/2024.acl-long.399","DOI":"10.18653\/v1\/2024.acl-long.399"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657957"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2025.emnlp-main.60"},{"key":"e_1_3_2_1_29_1","volume-title":"Learning from natural language feedback for personalized question answering. arXiv preprint arXiv:2508.10695","author":"Salemi Alireza","year":"2025","unstructured":"Alireza Salemi and Hamed Zamani. 2025. Learning from natural language feedback for personalized question answering. arXiv preprint arXiv:2508.10695 (2025)."},{"key":"e_1_3_2_1_30_1","volume-title":"Deepseekmath: Pushing the limits of mathematical reasoning in open language models. arXiv preprint arXiv:2402.03300","author":"Shao Zhihong","year":"2024","unstructured":"Zhihong Shao, Peiyi Wang, Qihao Zhu, Runxin Xu, Junxiao Song, Xiao Bi, Haowei Zhang, Mingchuan Zhang, YK Li, Yang Wu, et al. 2024. Deepseekmath: Pushing the limits of mathematical reasoning in open language models. arXiv preprint arXiv:2402.03300 (2024)."},{"key":"e_1_3_2_1_31_1","volume-title":"Uncertainty Quantification for Retrieval-Augmented Reasoning. arXiv preprint arXiv:2510.11483","author":"Soudani Heydar","year":"2025","unstructured":"Heydar Soudani, Hamed Zamani, and Faegheh Hasibi. 2025. Uncertainty Quantification for Retrieval-Augmented Reasoning. arXiv preprint arXiv:2510.11483 (2025)."},{"key":"e_1_3_2_1_32_1","volume-title":"Yi Fung, Hou Pong Chan, Kevin Small, ChengXiang Zhai, and Heng Ji.","author":"Sun Chenkai","year":"2025","unstructured":"Chenkai Sun, Ke Yang, Revanth Gangi Reddy, Yi Fung, Hou Pong Chan, Kevin Small, ChengXiang Zhai, and Heng Ji. 2025. Persona-DB: Efficient Large Language Model Personalization for Response Prediction with Collaborative Data Refinement. In Proceedings of the 31st International Conference on Computational Linguistics, Owen Rambow, Leo Wanner, Marianna Apidianaki, Hend Al-Khalifa, Barbara Di Eugenio, and Steven Schockaert (Eds.). Association for Computational Linguistics, Abu Dhabi, UAE, 281-296. https:\/\/aclanthology.org\/2025.coling-main.20\/"},{"key":"e_1_3_2_1_33_1","unstructured":"Richard S Sutton Andrew G Barto et al. 1998. Reinforcement learning: An introduction. Vol. 1. MIT press Cambridge."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2025.acl-long.896"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.findings-acl.780"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/3640457.3688161"},{"key":"e_1_3_2_1_37_1","volume-title":"Zero-shot next-item recommendation using large pretrained language models. arXiv preprint arXiv:2304.03153","author":"Wang Lei","year":"2023","unstructured":"Lei Wang and Ee-Peng Lim. 2023. Zero-shot next-item recommendation using large pretrained language models. arXiv preprint arXiv:2304.03153 (2023)."},{"key":"e_1_3_2_1_38_1","volume-title":"Fei Xia, Ed H. Chi, Quoc V Le, and Denny Zhou.","author":"Wei Jason","year":"2022","unstructured":"Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, brian ichter, Fei Xia, Ed H. Chi, Quoc V Le, and Denny Zhou. 2022. Chain of Thought Prompting Elicits Reasoning in Large Language Models. In Advances in Neural Information Processing Systems, Alice H. Oh, Alekh Agarwal, Danielle Belgrave, and Kyunghyun Cho (Eds.). https:\/\/openreview.net\/forum?id=_VjQlMeSB_J"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v39i24.34738"},{"key":"e_1_3_2_1_40_1","volume-title":"Logic-rl: Unleashing llm reasoning with rule-based reinforcement learning. arXiv preprint arXiv:2502.14768","author":"Xie Tian","year":"2025","unstructured":"Tian Xie, Zitian Gao, Qingnan Ren, Haoming Luo, Yuqian Hong, Bryan Dai, Joey Zhou, Kai Qiu, Zhirong Wu, and Chong Luo. 2025. Logic-rl: Unleashing llm reasoning with rule-based reinforcement learning. arXiv preprint arXiv:2502.14768 (2025)."},{"key":"e_1_3_2_1_41_1","volume-title":"arXiv preprint arXiv:2412.15115","author":"Yang An","year":"2024","unstructured":"An Yang, Baosong Yang, Beichen Zhang, Binyuan Hui, Bo Zheng, Bowen Yu, Chengyuan Li, Dayiheng Liu, Fei Huang, Haoran Wei, Huan Lin, Jian Yang, Jianhong Tu, Jianwei Zhang, Jianxin Yang, Jiaxi Yang, Jingren Zhou, Junyang Lin, Kai Dang, Keming Lu, Keqin Bao, Kexin Yang, Le Yu, Mei Li, Mingfeng Xue, Pei Zhang, Qin Zhu, Rui Men, Runji Lin, Tianhao Li, Tingyu Xia, Xingzhang Ren, Xuancheng Ren, Yang Fan, Yang Su, Yichang Zhang, Yu Wan, Yuqiong Liu, Zeyu Cui, Zhenru Zhang, and Zihan Qiu. 2024. Qwen2.5 Technical Report. arXiv preprint arXiv:2412.15115 (2024)."},{"key":"e_1_3_2_1_42_1","volume-title":"Second Conference on Language Modeling. https:\/\/openreview.net\/forum?id=T2TZ0RY4Zk","author":"Ye Yixin","year":"2025","unstructured":"Yixin Ye, Zhen Huang, Yang Xiao, Ethan Chern, Shijie Xia, and Pengfei Liu. 2025. LIMO: Less is More for Reasoning. In Second Conference on Language Modeling. https:\/\/openreview.net\/forum?id=T2TZ0RY4Zk"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/3746252.3760851"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2025.findings-emnlp.84"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2025.findings-emnlp.95"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1145\/3746252.3761120"},{"key":"e_1_3_2_1_47_1","volume-title":"Evaluating Personalized Preference Following in LLMs. In The Thirteenth International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=QWunLKbBGF","author":"Zhao Siyan","year":"2025","unstructured":"Siyan Zhao, Mingyi Hong, Yang Liu, Devamanyu Hazarika, and Kaixiang Lin. 2025. Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs. In The Thirteenth International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=QWunLKbBGF"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.52202\/079017-3196"}],"event":{"name":"SIGIR '26: The 49th International ACM SIGIR Conference on Research and Development in Information Retrieval","location":"Melbourne VIC Australia","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval"],"original-title":[],"deposited":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T17:14:54Z","timestamp":1784135694000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3805712.3809944"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,19]]},"references-count":48,"alternative-id":["10.1145\/3805712.3809944","10.1145\/3805712"],"URL":"https:\/\/doi.org\/10.1145\/3805712.3809944","relation":{},"subject":[],"published":{"date-parts":[[2026,7,19]]},"assertion":[{"value":"2026-07-19","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}