{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T01:01:36Z","timestamp":1774400496589,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":52,"publisher":"ACM","license":[{"start":{"date-parts":[[2025,7,20]],"date-time":"2025-07-20T00:00:00Z","timestamp":1752969600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Dutch Research Council","award":["KICH3.LTP.20.006"],"award-info":[{"award-number":["KICH3.LTP.20.006"]}]},{"name":"European Union's Horizon Europe research and innovation program","award":["No 101070212"],"award-info":[{"award-number":["No 101070212"]}]},{"DOI":"10.13039\/https:\/\/doi.org\/10.13039\/100006163","name":"Project Management","doi-asserted-by":"publisher","award":["No. JCKY2022130C039"],"award-info":[{"award-number":["No. JCKY2022130C039"]}],"id":[{"id":"10.13039\/https:\/\/doi.org\/10.13039\/100006163","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Dutch Research Council (NWO), DPG Media, RTL, and the Dutch Ministry of Economic Affairs and Climate Policy","award":["LTP KIC 2020-2023"],"award-info":[{"award-number":["LTP KIC 2020-2023"]}]},{"DOI":"10.13039\/https:\/\/doi.org\/10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["No. 62472408"],"award-info":[{"award-number":["No. 62472408"]}],"id":[{"id":"10.13039\/https:\/\/doi.org\/10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"LESSEN","award":["NWA.1389.20.183"],"award-info":[{"award-number":["NWA.1389.20.183"]}]},{"name":"Strategic Priority Research Program of the CAS","award":["No. XDB0680102"],"award-info":[{"award-number":["No. XDB0680102"]}]},{"name":"Lenovo-CAS Joint Lab Youth Scientist Project","award":["Null"],"award-info":[{"award-number":["Null"]}]},{"DOI":"10.13039\/https:\/\/doi.org\/10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["No. 2023YFA1011602"],"award-info":[{"award-number":["No. 2023YFA1011602"]}],"id":[{"id":"10.13039\/https:\/\/doi.org\/10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Dutch Ministry of Education","award":["nr.\\ 024.004.022"],"award-info":[{"award-number":["nr.\\ 024.004.022"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,7,20]]},"DOI":"10.1145\/3690624.3709435","type":"proceedings-article","created":{"date-parts":[[2025,4,4]],"date-time":"2025-04-04T18:44:43Z","timestamp":1743792283000},"page":"2606-2617","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Generative Retrieval for Book Search"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-8010-3404","authenticated-orcid":false,"given":"Yubao","family":"Tang","sequence":"first","affiliation":[{"name":"CAS Key Lab of Network Data Science and Technology, ICT, CAS, Beijing, China, University of the Chinese Academy of Sciences, Beijing, China, & University of Amsterdam, Amsterdam, Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4294-2541","authenticated-orcid":false,"given":"Ruqing","family":"Zhang","sequence":"additional","affiliation":[{"name":"CAS Key Lab of Network Data Science and Technology, ICT, CAS, Beijing, China & University of Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9509-8674","authenticated-orcid":false,"given":"Jiafeng","family":"Guo","sequence":"additional","affiliation":[{"name":"CAS Key Lab of Network Data Science and Technology, ICT, CAS, Beijing, China & University of Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1086-0202","authenticated-orcid":false,"given":"Maarten","family":"de Rijke","sequence":"additional","affiliation":[{"name":"University of Amsterdam, Amsterdam, Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-2736-3848","authenticated-orcid":false,"given":"Shihao","family":"Liu","sequence":"additional","affiliation":[{"name":"Baidu Inc., Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9212-1947","authenticated-orcid":false,"given":"Shuaiqiang","family":"Wang","sequence":"additional","affiliation":[{"name":"Baidu Inc., Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0684-6205","authenticated-orcid":false,"given":"Dawei","family":"Yin","sequence":"additional","affiliation":[{"name":"Baidu Inc., Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5201-8195","authenticated-orcid":false,"given":"Xueqi","family":"Cheng","sequence":"additional","affiliation":[{"name":"CAS Key Lab of Network Data Science and Technology, ICT, CAS, Beijing, China & University of Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,7,20]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Anserini 2020. Anserini. https:\/\/github.com\/castorini\/anserini."},{"key":"e_1_3_2_1_2_1","volume-title":"Variations of the Similarity Function of TextRank for Automated Summarization. CoRR abs\/1602.03606","author":"Barrios Federico","year":"2016","unstructured":"Federico Barrios, Federico L\u00f3pez, Luis Argerich, and Rosa Wachenchauzer. 2016. Variations of the Similarity Function of TextRank for Automated Summarization. CoRR abs\/1602.03606 (2016). arXiv:1602.03606 http:\/\/arxiv.org\/abs\/1602.03606"},{"key":"e_1_3_2_1_3_1","unstructured":"Michele Bevilacqua Giuseppe Ottaviano Patrick Lewis Wen-tau Yih Sebastian Riedel and Fabio Petroni. 2022. Autoregressive Search Engines: Generating Substrings as Document Identifiers. In Advances in Neural Information Processing Systems. 31668--31683."},{"key":"e_1_3_2_1_4_1","volume-title":"International Conference on Agents and Artificial Intelligence","volume":"2","author":"Bleiweiss Avi","year":"2017","unstructured":"Avi Bleiweiss. 2017. A Hierarchical Book Representation ofWord Embeddings for Effective Semantic Clustering and Search. In International Conference on Agents and Artificial Intelligence, Vol. 2. SCITEPRESS, 154--163."},{"key":"e_1_3_2_1_5_1","volume-title":"Entity Retrieval Using Fine-grained Entity Aspects. In proceedings of the 44th international ACM SIGIR conference on research and development in information retrieval. 1662--1666","author":"Chatterjee Shubham","year":"2021","unstructured":"Shubham Chatterjee and Laura Dietz. 2021. Entity Retrieval Using Fine-grained Entity Aspects. In proceedings of the 44th international ACM SIGIR conference on research and development in information retrieval. 1662--1666."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557271"},{"key":"e_1_3_2_1_7_1","volume-title":"Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs). arXiv preprint arXiv:1511.07289","author":"Clevert Djork-Arn\u00e9","year":"2015","unstructured":"Djork-Arn\u00e9 Clevert, Thomas Unterthiner, and Sepp Hochreiter. 2015. Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs). arXiv preprint arXiv:1511.07289 (2015)."},{"key":"e_1_3_2_1_8_1","volume-title":"Trung Bui, Seokhwan Kim, Walter Chang, and Nazli Goharian.","author":"Cohan Arman","year":"2018","unstructured":"Arman Cohan, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Seokhwan Kim, Walter Chang, and Nazli Goharian. 2018. A Discourse-aware Attention Model for Abstractive Summarization of Long Documents. arXiv preprint arXiv:1804.05685 (2018)."},{"key":"e_1_3_2_1_9_1","volume-title":"Autoregressive Entity Retrieval. In International Conference on Learning Representations.","author":"Cao Nicola De","year":"2021","unstructured":"Nicola De Cao, Gautier Izacard, Sebastian Riedel, and Fabio Petroni. 2021. Autoregressive Entity Retrieval. In International Conference on Learning Representations."},{"key":"e_1_3_2_1_10_1","volume-title":"A Survey on Long Text Modeling with Transformers. arXiv preprint arXiv:2302.14502","author":"Dong Zican","year":"2023","unstructured":"Zican Dong, Tianyi Tang, Lunyi Li, and Wayne Xin Zhao. 2023. A Survey on Long Text Modeling with Transformers. arXiv preprint arXiv:2302.14502 (2023)."},{"key":"e_1_3_2_1_11_1","volume-title":"Interdisciplinary Research in Technology and Management","author":"Dube Skhumbuzo","unstructured":"Skhumbuzo Dube and Ritesh Ajoodha. 2021. Improving Library Book Retrieval By Using Topic Modeling. In Interdisciplinary Research in Technology and Management. CRC Press, 585--590."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.11591\/ijece.v7i6.pp3705-3710"},{"key":"e_1_3_2_1_13_1","volume-title":"Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation. arXiv preprint arXiv:2401.16421","author":"He Zhenyu","year":"2024","unstructured":"Zhenyu He, Guhao Feng, Shengjie Luo, Kai Yang, Di He, Jingjing Xu, Zhi Zhang, Hongxia Yang, and LiweiWang. 2024. Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation. arXiv preprint arXiv:2401.16421 (2024)."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.550"},{"key":"e_1_3_2_1_15_1","volume-title":"International Conference on Machine Learning. PMLR, 5156--5165","author":"Katharopoulos Angelos","year":"2020","unstructured":"Angelos Katharopoulos, Apoorv Vyas, Nikolaos Pappas, and Fran\u00e7ois Fleuret. 2020. Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention. In International Conference on Machine Learning. PMLR, 5156--5165."},{"key":"e_1_3_2_1_16_1","first-page":"2055","article-title":"Issues and Challenges in Book Information Retrieval. International Information Institute (Tokyo)","volume":"17","author":"Khusro Shah","year":"2014","unstructured":"Shah Khusro, Irfan Ullah, Azhar Rauf, and Saeed Mahfooz. 2014. Issues and Challenges in Book Information Retrieval. International Information Institute (Tokyo). Information 17, 6 (2014), 2055.","journal-title":"Information"},{"key":"e_1_3_2_1_17_1","volume-title":"Multiview Identifiers Enhanced Generative Retrieval. In 61st Annual Meeting of the Association for Computational Linguistics. 6636--6648","author":"Li Yongqi","year":"2023","unstructured":"Yongqi Li, Nan Yang, LiangWang, FuruWei, and Wenjie Li. 2023. Multiview Identifiers Enhanced Generative Retrieval. In 61st Annual Meeting of the Association for Computational Linguistics. 6636--6648."},{"key":"e_1_3_2_1_18_1","volume-title":"Decomposing Complex Queries for Tip-of-the-tongue Retrieval. arXiv preprint arXiv:2305.15053","author":"Lin Kevin","year":"2023","unstructured":"Kevin Lin, Kyle Lo, Joseph E Gonzalez, and Dan Klein. 2023. Decomposing Complex Queries for Tip-of-the-tongue Retrieval. arXiv preprint arXiv:2305.15053 (2023)."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3476415.3476428"},{"key":"e_1_3_2_1_20_1","volume-title":"Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention. arXiv preprint arXiv:2404.07143","author":"Munkhdalai Tsendsuren","year":"2024","unstructured":"Tsendsuren Munkhdalai, Manaal Faruqui, and Siddharth Gopal. 2024. Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention. arXiv preprint arXiv:2404.07143 (2024)."},{"key":"e_1_3_2_1_21_1","volume-title":"Metalearned Neural Memory. Advances in Neural Information Processing Systems 32","author":"Munkhdalai Tsendsuren","year":"2019","unstructured":"Tsendsuren Munkhdalai, Alessandro Sordoni, Tong Wang, and Adam Trischler. 2019. Metalearned Neural Memory. Advances in Neural Information Processing Systems 32 (2019)."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401271"},{"key":"e_1_3_2_1_23_1","volume-title":"From doc2query to docTTTTTquery. An MS MARCO Passage Retrieval Task Publication","author":"Nogueira Rodrigo","unstructured":"Rodrigo Nogueira and Jimmy Lin. 2019. From doc2query to docTTTTTquery. An MS MARCO Passage Retrieval Task Publication. University of Waterloo."},{"key":"e_1_3_2_1_24_1","first-page":"27730","article-title":"Training Language Models to Follow Instructions with Human Feedback","volume":"35","author":"Ouyang Long","year":"2022","unstructured":"Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al. 2022. Training Language Models to Follow Instructions with Human Feedback. In Advances in Neural Information Processing Systems, Vol. 35. 27730--27744.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.5555\/3455716.3455856"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-04257-8_24"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"crossref","unstructured":"Stephen E. Robertson Steve Walker Susan Jones Micheline M. Hancock-Beaulieu and Mike Gatford. 1995. Okapi at TREC-3. In TREC. 109--126.","DOI":"10.6028\/NIST.SP.500-225.city"},{"key":"e_1_3_2_1_28_1","volume-title":"Randomized Positional Encodings Boost Length Generalization of Transformers. arXiv preprint arXiv:2305.16843","author":"Ruoss Anian","year":"2023","unstructured":"Anian Ruoss, Gr\u00e9goire Del\u00e9tang, Tim Genewein, Jordi Grau-Moya, R\u00f3bert Csord\u00e1s, Mehdi Bennani, Shane Legg, and Joel Veness. 2023. Randomized Positional Encodings Boost Length Generalization of Transformers. arXiv preprint arXiv:2305.16843 (2023)."},{"key":"e_1_3_2_1_29_1","volume-title":"Learning Associative Inference using FastWeight Memory. arXiv preprint arXiv:2011.07831","author":"Schlag Imanol","year":"2020","unstructured":"Imanol Schlag, Tsendsuren Munkhdalai, and J\u00fcrgen Schmidhuber. 2020. Learning Associative Inference using FastWeight Memory. arXiv preprint arXiv:2011.07831 (2020)."},{"key":"e_1_3_2_1_30_1","volume-title":"Self-attention with Relative Position Representations. arXiv preprint arXiv:1803.02155","author":"Shaw Peter","year":"2018","unstructured":"Peter Shaw, Jakob Uszkoreit, and Ashish Vaswani. 2018. Self-attention with Relative Position Representations. arXiv preprint arXiv:1803.02155 (2018)."},{"key":"e_1_3_2_1_31_1","volume-title":"Proceedings of the IEEE\/CVF winter conference on applications of computer vision. 3531--3539","author":"Shen Zhuoran","year":"2021","unstructured":"Zhuoran Shen, Mingyuan Zhang, Haiyu Zhao, Shuai Yi, and Hongsheng Li. 2021. Efficient Attention: Attention with Linear Complexities. In Proceedings of the IEEE\/CVF winter conference on applications of computer vision. 3531--3539."},{"key":"e_1_3_2_1_32_1","first-page":"127063","article-title":"Roformer","volume":"568","author":"Su Jianlin","year":"2024","unstructured":"Jianlin Su, Murtadha Ahmed, Yu Lu, Shengfeng Pan, Wen Bo, and Yunfeng Liu. 2024. Roformer: Enhanced Transformer with Rotary Position Embedding. Neurocomputing 568 (2024), 127063.","journal-title":"Enhanced Transformer with Rotary Position Embedding. Neurocomputing"},{"key":"e_1_3_2_1_33_1","volume-title":"Advances in Neural Information Processing Systems","volume":"36","author":"Sun Weiwei","year":"2023","unstructured":"Weiwei Sun, Lingyong Yan, Zheng Chen, Shuaiqiang Wang, Haichao Zhu, Pengjie Ren, Zhumin Chen, Dawei Yin, Maarten de Rijke, and Zhaochun Ren. 2023. Learning to Tokenize for Generative Retrieval. In Advances in Neural Information Processing Systems, Vol. 36."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599903"},{"key":"e_1_3_2_1_35_1","volume-title":"SIGIR-AP 2023: 1st International ACM SIGIR Conference on Information Retrieval in the Asia Pacific. ACM, 294--297.","author":"Tang Yubao","unstructured":"Yubao Tang, Ruqing Zhang, Jiafeng Guo, and Maarten de Rijke. 2023. Recent Advances in Generative Information Retrieval. In SIGIR-AP 2023: 1st International ACM SIGIR Conference on Information Retrieval in the Asia Pacific. ACM, 294--297."},{"key":"e_1_3_2_1_36_1","first-page":"21831","article-title":"Transformer Memory as a Differentiable Search Index","volume":"35","author":"Tay Yi","year":"2022","unstructured":"Yi Tay, Vinh Q. Tran, Mostafa Dehghani, Jianmo Ni, Dara Bahri, Harsh Mehta, Zhen Qin, Kai Hui, Zhe Zhao, Jai Gupta, Tal Schuster, William W. Cohen, and Donald Metzler. 2022. Transformer Memory as a Differentiable Search Index. In Advances in Neural Information Processing Systems, Vol. 35. 21831--21843.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-019-08591-0"},{"key":"e_1_3_2_1_38_1","volume-title":"Attention is All You Need. Advances in neural information processing systems 30","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017. Attention is All You Need. Advances in neural information processing systems 30 (2017)."},{"key":"e_1_3_2_1_39_1","first-page":"25600","article-title":"A Neural Corpus Indexer for Document Retrieval","volume":"35","author":"Wang Yujing","year":"2022","unstructured":"Yujing Wang, Yingyan Hou, Haonan Wang, Ziming Miao, Shibin Wu, Hao Sun, Qi Chen, Yuqing Xia, Chengmin Chi, Guoshuai Zhao, Zheng Liu, Xing Xie, Hao Sun, Weiwei Deng, Qi Zhang, and Mao Yang. 2022. A Neural Corpus Indexer for Document Retrieval. In Advances in Neural Information Processing Systems, Vol. 35. 25600--25614.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/3583780.3614993"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-78646-7_23"},{"key":"e_1_3_2_1_42_1","volume-title":"Sembrs: A Semantic Analysis Based Book Retrieval Approach. In 2020 IEEE conference on multimedia information processing and retrieval (MIPR). IEEE, 101--104","author":"Xie Haihua","year":"2020","unstructured":"Haihua Xie, Zhiyou Chen, Yabo Li, Shaoling Jing, Xiaoqing Lyu, and Zhi Tang. 2020. Sembrs: A Semantic Analysis Based Book Retrieval Approach. In 2020 IEEE conference on multimedia information processing and retrieval (MIPR). IEEE, 101--104."},{"key":"e_1_3_2_1_43_1","volume-title":"DCN: Mixed Objective And Deep Residual Coattention for Question Answering. In International Conference on Learning Representations.","author":"Xiong Caiming","year":"2017","unstructured":"Caiming Xiong, Victor Zhong, and Richard Socher. 2017. DCN: Mixed Objective And Deep Residual Coattention for Question Answering. In International Conference on Learning Representations."},{"key":"e_1_3_2_1_44_1","volume-title":"Auto Search Indexer for End-to-End Document Retrieval. In Findings of the Association for Computational Linguistics: EMNLP","author":"Yang Tianchi","year":"2023","unstructured":"Tianchi Yang, Minghui Song, Zihan Zhang, Haizhen Huang, Weiwei Deng, Feng Sun, and Qi Zhang. 2023. Auto Search Indexer for End-to-End Document Retrieval. In Findings of the Association for Computational Linguistics: EMNLP 2023."},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-1174"},{"key":"e_1_3_2_1_46_1","volume-title":"Scalable and Effective Generative Information Retrieval. In The 2024 ACM Web Conference.","author":"Zeng Hansi","year":"2024","unstructured":"Hansi Zeng, Chen Luo, Bowen Jin, Sheikh Muhammad Sarwar, Tianxin Wei, and Hamed Zamani. 2024. Scalable and Effective Generative Information Retrieval. In The 2024 ACM Web Conference."},{"key":"e_1_3_2_1_47_1","volume-title":"Proceedings of the 2024 ACM SIGIR International Conference on Theory of Information Retrieval.","author":"Zeng Hansi","year":"2024","unstructured":"Hansi Zeng, Chen Luo, and Hamed Zamani. 2024. Planning Ahead in Generative Retrieval: Guiding Autoregressive Generation through Simultaneous Decoding. In Proceedings of the 2024 ACM SIGIR International Conference on Theory of Information Retrieval."},{"key":"e_1_3_2_1_48_1","volume-title":"Rep-BERT: Contextualized Text Embeddings for First-stage Retrieval. arXiv preprint arXiv:2006.15498","author":"Zhan Jingtao","year":"2020","unstructured":"Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Min Zhang, and Shaoping Ma. 2020. Rep-BERT: Contextualized Text Embeddings for First-stage Retrieval. arXiv preprint arXiv:2006.15498 (2020)."},{"key":"e_1_3_2_1_49_1","volume-title":"Mengzi: Towards Lightweight yet Ingenious Pre-trained Models for Chinese. arXiv:2110.06696 [cs.CL]","author":"Zhang Zhuosheng","year":"2021","unstructured":"Zhuosheng Zhang, Hanqing Zhang, Keming Chen, Yuhang Guo, Jingyun Hua, Yulong Wang, and Ming Zhou. 2021. Mengzi: Towards Lightweight yet Ingenious Pre-trained Models for Chinese. arXiv:2110.06696 [cs.CL]"},{"key":"e_1_3_2_1_50_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)."},{"key":"e_1_3_2_1_51_1","volume-title":"Pose: Efficient Context Window Extension of LLMs via Positional Skip-wise Training. arXiv preprint arXiv:2309.10400","author":"Zhu Dawei","year":"2023","unstructured":"Dawei Zhu, Nan Yang, Liang Wang, Yifan Song, Wenhao Wu, Furu Wei, and Sujian Li. 2023. Pose: Efficient Context Window Extension of LLMs via Positional Skip-wise Training. arXiv preprint arXiv:2309.10400 (2023)."},{"key":"e_1_3_2_1_52_1","unstructured":"Shengyao Zhuang Houxing Ren Linjun Shou Jian Pei Ming Gong Guido Zuccon and Daxin Jiang. 2023. Bridging the Gap between Indexing and Retrieval for Differentiable Search Index with Query Generation. In Gen-IR@SIGIR 2023: The First Workshop on Generative Information Retrieval."}],"event":{"name":"KDD '25: The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining","location":"Toronto ON Canada","acronym":"KDD '25","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"]},"container-title":["Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3690624.3709435","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3690624.3709435","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,16]],"date-time":"2025-08-16T15:44:49Z","timestamp":1755359089000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3690624.3709435"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,20]]},"references-count":52,"alternative-id":["10.1145\/3690624.3709435","10.1145\/3690624"],"URL":"https:\/\/doi.org\/10.1145\/3690624.3709435","relation":{},"subject":[],"published":{"date-parts":[[2025,7,20]]},"assertion":[{"value":"2025-07-20","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}