{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T05:12:50Z","timestamp":1784178770361,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":40,"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\/3805712.3808477","type":"proceedings-article","created":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T14:28:19Z","timestamp":1783693699000},"page":"4987-4992","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Towards Efficient and Generalizable Retrieval: Adaptive Semantic Quantization and Residual Knowledge Transfer"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7115-8831","authenticated-orcid":false,"given":"Huimu","family":"Wang","sequence":"first","affiliation":[{"name":"Institute of Automation, Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-2124-9189","authenticated-orcid":false,"given":"Xingzhi","family":"Yao","sequence":"additional","affiliation":[{"name":"JD.com, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5900-4773","authenticated-orcid":false,"given":"Yiming","family":"Qiu","sequence":"additional","affiliation":[{"name":"JD.com, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-1186-9151","authenticated-orcid":false,"given":"Qinghong","family":"Zhang","sequence":"additional","affiliation":[{"name":"JD.com, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-5363-3886","authenticated-orcid":false,"given":"Haotian","family":"Wang","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology, Harbin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-4227-6294","authenticated-orcid":false,"given":"Yufan","family":"Cui","sequence":"additional","affiliation":[{"name":"Peking University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0102-9123","authenticated-orcid":false,"given":"Songlin","family":"Wang","sequence":"additional","affiliation":[{"name":"JD.com, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0345-334X","authenticated-orcid":false,"given":"Sulong","family":"Xu","sequence":"additional","affiliation":[{"name":"JD.com, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3347-0450","authenticated-orcid":false,"given":"Mingming","family":"Li","sequence":"additional","affiliation":[{"name":"Institute of Information Engineering\uff0cChinese Academy of Sciences, Beijing, China"}],"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":"MS MARCO: A Human Generated MAchine Reading COmprehension Dataset. arXiv:1611.09268 [cs.CL] https:\/\/arxiv.org\/abs\/1611.09268","author":"Bajaj Payal","year":"2018","unstructured":"Payal Bajaj, Daniel Campos, Nick Craswell, Li Deng, Jianfeng Gao, Xiaodong Liu, Rangan Majumder, Andrew McNamara, Bhaskar Mitra, Tri Nguyen, Mir Rosenberg, Xia Song, Alina Stoica, Saurabh Tiwary, and Tong Wang. 2018. MS MARCO: A Human Generated MAchine Reading COmprehension Dataset. arXiv:1611.09268 [cs.CL] https:\/\/arxiv.org\/abs\/1611.09268"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.52202\/068431-2296"},{"key":"e_1_3_2_1_3_1","volume-title":"Onesearch: A preliminary exploration of the unified end-to-end generative framework for e-commerce search. arXiv preprint arXiv:2509.03236","author":"Chen Ben","year":"2025","unstructured":"Ben Chen, Xian Guo, Siyuan Wang, Zihan Liang, Yue Lv, Yufei Ma, Xinlong Xiao, Bowen Xue, Xuxin Zhang, Ying Yang, et al. 2025. Onesearch: A preliminary exploration of the unified end-to-end generative framework for e-commerce search. arXiv preprint arXiv:2509.03236 (2025)."},{"key":"e_1_3_2_1_4_1","volume-title":"RAD-DPO: Robust Adaptive Denoising Direct Preference Optimization for Generative Retrieval in E-commerce. arXiv preprint arXiv:2602.23964","author":"Chen Zhiguo","year":"2026","unstructured":"Zhiguo Chen, Guohao Sun, Yiming Qiu, Xingzhi Yao, Mingming Li, Huimu Wang, Yangqi Zhang, Songlin Wang, and Sulong Xu. 2026. RAD-DPO: Robust Adaptive Denoising Direct Preference Optimization for Generative Retrieval in E-commerce. arXiv preprint arXiv:2602.23964 (2026)."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v39i11.33253"},{"key":"e_1_3_2_1_6_1","unstructured":"Jiaxin Deng Shiyao Wang Kuo Cai Lejian Ren Qigen Hu Weifeng Ding Qiang Luo and Guorui Zhou. 2025. OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment. arXiv:2502.18965 [cs.IR] https:\/\/arxiv.org\/abs\/2502.18965"},{"key":"e_1_3_2_1_7_1","volume-title":"Onerec: Unifying retrieve and rank with generative recommender and iterative preference alignment. arXiv preprint arXiv:2502.18965","author":"Deng Jiaxin","year":"2025","unstructured":"Jiaxin Deng, Shiyao Wang, Kuo Cai, Lejian Ren, Qigen Hu, Weifeng Ding, Qiang Luo, and Guorui Zhou. 2025. Onerec: Unifying retrieve and rank with generative recommender and iterative preference alignment. arXiv preprint arXiv:2502.18965 (2025)."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"crossref","unstructured":"Yupeng Hou Jiacheng Li Ashley Shin Jinsung Jeon Abhishek Santhanam Wei Shao Kaveh Hassani Ning Yao and Julian McAuley. 2025. Generating Long Semantic IDs in Parallel for Recommendation. In KDD.","DOI":"10.1145\/3711896.3736979"},{"key":"e_1_3_2_1_9_1","volume-title":"Ledell Wu, Sergey Edunov, Danqi Chen, and Wen-tau Yih.","author":"Karpukhin Vladimir","year":"2020","unstructured":"Vladimir Karpukhin, Barlas Oguz, Sewon Min, Patrick SH Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, and Wen-tau Yih. 2020. Dense Passage Retrieval for Open-Domain Question Answering.. In EMNLP (1). 6769-6781."},{"key":"e_1_3_2_1_10_1","unstructured":"Tongyoung Kim Soojin Yoon Seongku Kang Jinyoung Yeo and Dongha Lee. 2024. SC-Rec: Enhancing Generative Retrieval with Self-Consistent Reranking for Sequential Recommendation. arXiv:2408.08686 [cs.IR] https:\/\/arxiv.org\/abs\/2408.08686"},{"key":"e_1_3_2_1_11_1","volume-title":"Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track. 677-685","author":"Kuai Zhirui","year":"2024","unstructured":"Zhirui Kuai, Zuxu Chen, Huimu Wang, Mingming Li, Dadong Miao, Wang Binbin, Xusong Chen, Li Kuang, Yuxing Han, Jiaxing Wang, et al. 2024. Breaking the Hourglass Phenomenon of Residual Quantization: Enhancing the Upper Bound of Generative Retrieval. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track. 677-685."},{"key":"e_1_3_2_1_12_1","unstructured":"Mingming Li Huimu Wang Zuxu Chen Guangtao Nie Yiming Qiu Guoyu Tang Lin Liu and Jingwei Zhuo. 2024. Generative Retrieval with Preference Optimization for E-commerce Search. arXiv:2407.19829 [cs.IR] https:\/\/arxiv.org\/abs\/2407.19829"},{"key":"e_1_3_2_1_13_1","volume-title":"Generative retrieval with preference optimization for e-commerce search. arXiv preprint arXiv:2407.19829","author":"Li Mingming","year":"2024","unstructured":"Mingming Li, Huimu Wang, Zuxu Chen, Guangtao Nie, Yiming Qiu, Guoyu Tang, Lin Liu, and Jingwei Zhuo. 2024. Generative retrieval with preference optimization for e-commerce search. arXiv preprint arXiv:2407.19829 (2024)."},{"key":"e_1_3_2_1_14_1","volume-title":"Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track. 775-782","author":"Li Mingming","year":"2023","unstructured":"Mingming Li, Chunyuan Yuan, Huimu Wang, Peng Wang, Jingwei Zhuo, Binbin Wang, Lin Liu, and Sulong Xu. 2023. Adaptive Hyper-parameter Learning for Deep Semantic Retrieval. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track. 775-782."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2023.103475"},{"key":"e_1_3_2_1_16_1","volume-title":"Learning to rank in generative retrieval. arXiv preprint arXiv:2306.15222","author":"Li Yongqi","year":"2023","unstructured":"Yongqi Li, Nan Yang, Liang Wang, Furu Wei, and Wenjie Li. 2023. Learning to rank in generative retrieval. arXiv preprint arXiv:2306.15222 (2023)."},{"key":"e_1_3_2_1_17_1","volume-title":"Multiview Identifiers Enhanced Generative Retrieval. arXiv preprint arXiv:2305.16675","author":"Li Yongqi","year":"2023","unstructured":"Yongqi Li, Nan Yang, Liang Wang, Furu Wei, and Wenjie Li. 2023. Multiview Identifiers Enhanced Generative Retrieval. arXiv preprint arXiv:2305.16675 (2023)."},{"key":"e_1_3_2_1_18_1","volume-title":"Multiview identifiers enhanced generative retrieval. arXiv preprint arXiv:2305.16675","author":"Li Yongqi","year":"2023","unstructured":"Yongqi Li, Nan Yang, Liang Wang, Furu Wei, and Wenjie Li. 2023. Multiview identifiers enhanced generative retrieval. arXiv preprint arXiv:2305.16675 (2023)."},{"key":"e_1_3_2_1_19_1","unstructured":"Han Liu Yinwei Wei Xuemeng Song Weili Guan Yuan-Fang Li and Liqiang Nie. 2024. MMGRec: Multimodal Generative Recommendation with Transformer Model. arXiv:2404.16555 [cs.IR] https:\/\/arxiv.org\/abs\/2404.16555"},{"key":"e_1_3_2_1_20_1","volume-title":"Decoupled Weight Decay Regularization. In International Conference on Learning Representations.","author":"Loshchilov Ilya","unstructured":"Ilya Loshchilov and Frank Hutter. [n.d.]. Decoupled Weight Decay Regularization. In International Conference on Learning Representations."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.findings-acl.146"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE51399.2021.00276"},{"key":"e_1_3_2_1_23_1","volume-title":"Recommender Systems with Generative Retrieval. In Thirty-seventh Conference on Neural Information Processing Systems. https:\/\/openreview.net\/forum?id=BJ0fQUU32w","author":"Rajput Shashank","year":"2023","unstructured":"Shashank Rajput, Nikhil Mehta, Anima Singh, Raghunandan Hulikal Keshavan, Trung Vu, Lukasz Heldt, Lichan Hong, Yi Tay, Vinh Q. Tran, Jonah Samost, Maciej Kula, Ed H. Chi, and Maheswaran Sathiamoorthy. 2023. Recommender Systems with Generative Retrieval. In Thirty-seventh Conference on Neural Information Processing Systems. https:\/\/openreview.net\/forum?id=BJ0fQUU32w"},{"key":"e_1_3_2_1_24_1","volume-title":"Jing Liu, Hua Wu, Ji-Rong Wen, and Haifeng Wang.","author":"Ren Ruiyang","year":"2023","unstructured":"Ruiyang Ren, Wayne Xin Zhao, Jing Liu, Hua Wu, Ji-Rong Wen, and Haifeng Wang. 2023. TOME: A Two-stage Approach for Model-based Retrieval. arXiv preprint arXiv:2305.11161 (2023)."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"crossref","unstructured":"Stephen Robertson Hugo Zaragoza et al. 2009. The probabilistic relevance framework: BM25 and beyond. Foundations and Trends\u00ae in Information Retrieval 3 4 (2009) 333-389.","DOI":"10.1561\/1500000019"},{"key":"e_1_3_2_1_26_1","volume-title":"Learning to tokenize for generative retrieval. Advances in Neural Information Processing Systems 36","author":"Sun Weiwei","year":"2024","unstructured":"Weiwei Sun, Lingyong Yan, Zheng Chen, Shuaiqiang Wang, Haichao Zhu, Pengjie Ren, Zhumin Chen, Dawei Yin, Maarten Rijke, and Zhaochun Ren. 2024. Learning to tokenize for generative retrieval. Advances in Neural Information Processing Systems 36 (2024)."},{"key":"e_1_3_2_1_27_1","volume-title":"Learning to tokenize for generative retrieval. Advances in Neural Information Processing Systems 36","author":"Sun Weiwei","year":"2024","unstructured":"Weiwei Sun, Lingyong Yan, Zheng Chen, Shuaiqiang Wang, Haichao Zhu, Pengjie Ren, Zhumin Chen, Dawei Yin, Maarten Rijke, and Zhaochun Ren. 2024. Learning to tokenize for generative retrieval. Advances in Neural Information Processing Systems 36 (2024)."},{"key":"e_1_3_2_1_28_1","volume-title":"Semantic-Enhanced Differentiable Search Index Inspired by Learning Strategies. arXiv preprint arXiv:2305.15115","author":"Tang Yubao","year":"2023","unstructured":"Yubao Tang, Ruqing Zhang, Jiafeng Guo, Jiangui Chen, Zuowei Zhu, Shuaiqiang Wang, Dawei Yin, and Xueqi Cheng. 2023. Semantic-Enhanced Differentiable Search Index Inspired by Learning Strategies. arXiv preprint arXiv:2305.15115 (2023)."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.52202\/068431-1587"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3661359"},{"key":"e_1_3_2_1_31_1","volume-title":"A Simple and Effective Framework for Symmetric Consistent Indexing in Large-Scale Dense Retrieval. arXiv preprint arXiv:2512.13074","author":"Wang Huimu","year":"2025","unstructured":"Huimu Wang, Yiming Qiu, Xingzhi Yao, Zhiguo Chen, Guoyu Tang, Songlin Wang, Sulong Xu, and Mingming Li. 2025. A Simple and Effective Framework for Symmetric Consistent Indexing in Large-Scale Dense Retrieval. arXiv preprint arXiv:2512.13074 (2025)."},{"key":"e_1_3_2_1_32_1","volume-title":"Learnable Item Tokenization for Generative Recommendation. In International Conference on Information and Knowledge Management.","author":"Wang Wenjie","year":"2024","unstructured":"Wenjie Wang, Honghui Bao, Xinyu Lin, Jizhi Zhang, Yongqi Li, Fuli Feng, See-Kiong Ng, and Tat-Seng Chua. 2024. Learnable Item Tokenization for Generative Recommendation. In International Conference on Information and Knowledge Management."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.52202\/068431-1856"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671775"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/3583780.3614993"},{"key":"e_1_3_2_1_36_1","volume-title":"Generative Dense Retrieval: Memory Can Be a Burden. arXiv preprint arXiv:2401.10487","author":"Yuan Peiwen","year":"2024","unstructured":"Peiwen Yuan, Xinglin Wang, Shaoxiong Feng, Boyuan Pan, Yiwei Li, Heda Wang, Xupeng Miao, and Kan Li. 2024. Generative Dense Retrieval: Memory Can Be a Burden. arXiv preprint arXiv:2401.10487 (2024)."},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657797"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE60146.2024.00118"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"crossref","unstructured":"Carolina Zheng Minhui Huang Dmitrii Pedchenko Kaushik Rangadurai Siyu Wang Gaby Nahum Jie Lei Yang Yang Tao Liu Zutian Luo Xiaohan Wei Dinesh Ramasamy Jiyan Yang Yiping Han Lin Yang Hangjun Xu Rong Jin and Shuang Yang. 2025. Enhancing Embedding Representation Stability in Recommendation Systems with Semantic ID. arXiv:2504.02137 [cs.IR] https:\/\/arxiv.org\/abs\/2504.02137","DOI":"10.1145\/3705328.3748123"},{"key":"e_1_3_2_1_40_1","volume-title":"Ultron: An ultimate retriever on corpus with a model-based indexer. arXiv preprint arXiv:2208.09257","author":"Zhou Yujia","year":"2022","unstructured":"Yujia Zhou, Jing Yao, Zhicheng Dou, Ledell Wu, Peitian Zhang, and Ji-Rong Wen. 2022. Ultron: An ultimate retriever on corpus with a model-based indexer. arXiv preprint arXiv:2208.09257 (2022)."}],"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":"2026-07-15T17:30:03Z","timestamp":1784136603000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3805712.3808477"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,19]]},"references-count":40,"alternative-id":["10.1145\/3805712.3808477","10.1145\/3805712"],"URL":"https:\/\/doi.org\/10.1145\/3805712.3808477","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"}}]}}