{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T18:07:23Z","timestamp":1784138843200,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":41,"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"}],"funder":[{"name":"National Natural Science Foundation of China","award":["62272349"],"award-info":[{"award-number":["62272349"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,7,20]]},"DOI":"10.1145\/3805712.3809661","type":"proceedings-article","created":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T17:06:26Z","timestamp":1784135186000},"page":"2442-2452","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Generative Auto-Bidding with Unified Modeling and Exploration"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-1730-4584","authenticated-orcid":false,"given":"Mingming","family":"Zhang","sequence":"first","affiliation":[{"name":"Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering, Wuhan University, Wuhan, China and Taobao & Tmall Group of Alibaba, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-3256-497X","authenticated-orcid":false,"given":"Feiqing","family":"Zhuang","sequence":"additional","affiliation":[{"name":"Taobao & Tmall Group of Alibaba, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-3394-0056","authenticated-orcid":false,"given":"Na","family":"Li","sequence":"additional","affiliation":[{"name":"Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering, Wuhan University, Wuhan, China and Taobao & Tmall Group of Alibaba, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-1519-6682","authenticated-orcid":false,"given":"Shengjie","family":"Sun","sequence":"additional","affiliation":[{"name":"Taobao & Tmall Group of Alibaba, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-2175-1240","authenticated-orcid":false,"given":"Xiaowei","family":"Chen","sequence":"additional","affiliation":[{"name":"Taobao & Tmall Group of Alibaba, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-4350-5324","authenticated-orcid":false,"given":"Junxiong","family":"Zhu","sequence":"additional","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-4654-2556","authenticated-orcid":false,"given":"Fei","family":"Xiao","sequence":"additional","affiliation":[{"name":"Taobao & Tmall Group of Alibaba, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-1893-5176","authenticated-orcid":false,"given":"Keping","family":"Yang","sequence":"additional","affiliation":[{"name":"Taobao & Tmall Group of Alibaba, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6755-871X","authenticated-orcid":false,"given":"Lixin","family":"Zou","sequence":"additional","affiliation":[{"name":"Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering, Wuhan University, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3144-6374","authenticated-orcid":false,"given":"Chenliang","family":"Li","sequence":"additional","affiliation":[{"name":"Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering, Wuhan University, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,7,19]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623366"},{"key":"e_1_3_2_1_2_1","volume-title":"Is conditional generative modeling all you need for decision-making? arXiv preprint arXiv:2211.15657","author":"Ajay Anurag","year":"2022","unstructured":"Anurag Ajay, Yilun Du, Abhi Gupta, Joshua Tenenbaum, Tommi Jaakkola, and Pulkit Agrawal. 2022. Is conditional generative modeling all you need for decision-making? arXiv preprint arXiv:2211.15657 (2022)."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"crossref","unstructured":"Michael Bain and Claude Sammut. 1995. A Framework for Behavioural Cloning.. In Machine intelligence 15. 103-129.","DOI":"10.1093\/oso\/9780198538677.003.0006"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/s40435-020-00665-4"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10458-009-9112-y"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.5555\/3013545.3013546"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3018661.3018702"},{"key":"e_1_3_2_1_8_1","first-page":"104","volume-title":"RTBAgent: A LLM-based Agent System for Real-Time Bidding. In Companion Proceedings of the ACM on Web Conference","author":"Cai Leng","year":"2025","unstructured":"Leng Cai, Junxuan He, Yikai Li, Junjie Liang, Yuanping Lin, Ziming Quan, Yawen Zeng, and Jin Xu. 2025. RTBAgent: A LLM-based Agent System for Real-Time Bidding. In Companion Proceedings of the ACM on Web Conference 2025. 104-113."},{"key":"e_1_3_2_1_9_1","volume-title":"Decision transformer: Reinforcement learning via sequence modeling. Advances in neural information processing systems","author":"Chen Lili","year":"2021","unstructured":"Lili Chen, Kevin Lu, Aravind Rajeswaran, Kimin Lee, Aditya Grover, Misha Laskin, Pieter Abbeel, Aravind Srinivas, and Igor Mordatch. 2021. Decision transformer: Reinforcement learning via sequence modeling. Advances in neural information processing systems, Vol. 34 (2021), 15084-15097."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/2020408.2020604"},{"key":"e_1_3_2_1_11_1","unstructured":"George B Dantzig. 2016. Linear programming and extensions. (2016)."},{"key":"e_1_3_2_1_12_1","volume-title":"Benchmarking batch deep reinforcement learning algorithms. arXiv preprint arXiv:1910.01708","author":"Fujimoto Scott","year":"2019","unstructured":"Scott Fujimoto, Edoardo Conti, Mohammad Ghavamzadeh, and Joelle Pineau. 2019. Benchmarking batch deep reinforcement learning algorithms. arXiv preprint arXiv:1910.01708 (2019)."},{"key":"e_1_3_2_1_13_1","volume-title":"A minimalist approach to offline reinforcement learning. Advances in neural information processing systems","author":"Fujimoto Scott","year":"2021","unstructured":"Scott Fujimoto and Shixiang Shane Gu. 2021. A minimalist approach to offline reinforcement learning. Advances in neural information processing systems, Vol. 34 (2021), 20132-20145."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3726302.3729987"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671526"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467199"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3711896.3737197"},{"key":"e_1_3_2_1_18_1","first-page":"1033","volume-title":"Optimal Return-to-Go Guided Decision Transformer for Auto-Bidding in Advertisement. In Companion Proceedings of the ACM on Web Conference","author":"Jiang Hao","year":"2025","unstructured":"Hao Jiang, Yongxiang Tang, Yanxiang Zeng, Pengjia Yuan, Yanhua Cheng, Teng Sha, Xialong Liu, and Peng Jiang. 2025. Optimal Return-to-Go Guided Decision Transformer for Auto-Bidding in Advertisement. In Companion Proceedings of the ACM on Web Conference 2025. 1033-1037."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3272021"},{"key":"e_1_3_2_1_20_1","volume-title":"Scaling laws for neural language models. arXiv preprint arXiv:2001.08361","author":"Kaplan Jared","year":"2020","unstructured":"Jared Kaplan, Sam McCandlish, Tom Henighan, Tom B Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei. 2020. Scaling laws for neural language models. arXiv preprint arXiv:2001.08361 (2020)."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/MCS.2006.1580151"},{"key":"e_1_3_2_1_22_1","volume-title":"Offline reinforcement learning with implicit q-learning. arXiv preprint arXiv:2110.06169","author":"Kostrikov Ilya","year":"2021","unstructured":"Ilya Kostrikov, Ashvin Nair, and Sergey Levine. 2021. Offline reinforcement learning with implicit q-learning. arXiv preprint arXiv:2110.06169 (2021)."},{"key":"e_1_3_2_1_23_1","volume-title":"Conservative q-learning for offline reinforcement learning. Advances in neural information processing systems","author":"Kumar Aviral","year":"2020","unstructured":"Aviral Kumar, Aurick Zhou, George Tucker, and Sergey Levine. 2020. Conservative q-learning for offline reinforcement learning. Advances in neural information processing systems, Vol. 33 (2020), 1179-1191."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645534"},{"key":"e_1_3_2_1_25_1","volume-title":"Auto-bidding equilibrium in ROI-constrained online advertising markets. arXiv preprint arXiv:2210.06107","author":"Li Juncheng","year":"2022","unstructured":"Juncheng Li and Pingzhong Tang. 2022. Auto-bidding equilibrium in ROI-constrained online advertising markets. arXiv preprint arXiv:2210.06107 (2022)."},{"key":"e_1_3_2_1_26_1","first-page":"315","volume-title":"GAS: Generative Auto-bidding with Post-training Search. In Companion Proceedings of the ACM on Web Conference","author":"Li Yewen","year":"2025","unstructured":"Yewen Li, Shuai Mao, Jingtong Gao, Nan Jiang, Yunjian Xu, Qingpeng Cai, Fei Pan, Peng Jiang, and Bo An. 2025. GAS: Generative Auto-bidding with Post-training Search. In Companion Proceedings of the ACM on Web Conference 2025. 315-324."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3037940"},{"key":"e_1_3_2_1_28_1","volume-title":"What makes a good diffusion planner for decision making? arXiv preprint arXiv:2503.00535","author":"Lu Haofei","year":"2025","unstructured":"Haofei Lu, Dongqi Han, Yifei Shen, and Dongsheng Li. 2025. What makes a good diffusion planner for decision making? arXiv preprint arXiv:2503.00535 (2025)."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.52202\/068431-0192"},{"key":"e_1_3_2_1_30_1","volume-title":"Expert-Guided Diffusion Planner for Auto-bidding. arXiv preprint arXiv:2508.08687","author":"Peng Yunshan","year":"2025","unstructured":"Yunshan Peng, Wenzheng Shu, Jiahao Sun, Yanxiang Zeng, Jinan Pang, Wentao Bai, Yunke Bai, Xialong Liu, and Peng Jiang. 2025. Expert-Guided Diffusion Planner for Auto-bidding. arXiv preprint arXiv:2508.08687 (2025)."},{"key":"e_1_3_2_1_31_1","volume-title":"Markov decision processes: discrete stochastic dynamic programming","author":"Puterman Martin L","unstructured":"Martin L Puterman. 2014. Markov decision processes: discrete stochastic dynamic programming. John Wiley & Sons."},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.52202\/079017-2993"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3488560.3498373"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330681"},{"key":"e_1_3_2_1_35_1","volume-title":"Advances in Neural Information Processing Systems","volume":"30","author":"Yu Hao","year":"2017","unstructured":"Hao Yu, Michael Neely, and Xiaohan Wei. 2017. Online convex optimization with stochastic constraints. Advances in Neural Information Processing Systems, Vol. 30 (2017)."},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557064"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/2501040.2501980"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599765"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/2835776.2835843"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623633"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.52202\/079017-0136"}],"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":"2026-07-15T17:24:25Z","timestamp":1784136265000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3805712.3809661"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,19]]},"references-count":41,"alternative-id":["10.1145\/3805712.3809661","10.1145\/3805712"],"URL":"https:\/\/doi.org\/10.1145\/3805712.3809661","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"}}]}}