{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,7]],"date-time":"2026-08-07T16:39:17Z","timestamp":1786120757722,"version":"build-2736575974"},"publisher-location":"New York, NY, USA","reference-count":53,"publisher":"ACM","license":[{"start":{"date-parts":[[2026,8,8]],"date-time":"2026-08-08T00:00:00Z","timestamp":1786147200000},"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":[[2026,8,9]]},"DOI":"10.1145\/3770855.3818473","type":"proceedings-article","created":{"date-parts":[[2026,8,6]],"date-time":"2026-08-06T17:15:43Z","timestamp":1786036543000},"page":"7465-7476","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["S-GRec: Personalized Semantic-Aware Generative Recommendation with Asymmetric Advantage"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9658-5127","authenticated-orcid":false,"given":"Jie","family":"Jiang","sequence":"first","affiliation":[{"name":"Tencent, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-5441-2177","authenticated-orcid":false,"given":"Hongbo","family":"Tang","sequence":"additional","affiliation":[{"name":"Tencent, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-3853-7586","authenticated-orcid":false,"given":"Wenjie","family":"Wu","sequence":"additional","affiliation":[{"name":"Tencent, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7865-9388","authenticated-orcid":false,"given":"Yangru","family":"Huang","sequence":"additional","affiliation":[{"name":"Tencent, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-4212-4183","authenticated-orcid":false,"given":"ZhenMao","family":"Li","sequence":"additional","affiliation":[{"name":"Tencent, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-1213-401X","authenticated-orcid":false,"given":"Qian","family":"Li","sequence":"additional","affiliation":[{"name":"Tencent, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-6617-2454","authenticated-orcid":false,"given":"Changping","family":"Wang","sequence":"additional","affiliation":[{"name":"Tencent, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-2298-5475","authenticated-orcid":false,"given":"Jun","family":"Zhang","sequence":"additional","affiliation":[{"name":"Tencent, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-4676-2967","authenticated-orcid":false,"given":"Huan","family":"Yu","sequence":"additional","affiliation":[{"name":"Tencent, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,8,8]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al.","author":"Achiam Josh","year":"2023","unstructured":"Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al., 2023. Gpt-4 technical report. arXiv preprint arXiv:2303.08774 (2023)."},{"key":"e_1_3_2_1_2_1","unstructured":"Yuntao Bai Saurav Kadavath Sandipan Kundu Amanda Askell Jackson Kernion Andy Jones Anna Chen Anna Goldie Azalia Mirhoseini Cameron McKinnon et al. 2022. Constitutional ai: Harmlessness from ai feedback. arXiv preprint arXiv:2212.08073 (2022)."},{"key":"e_1_3_2_1_3_1","volume-title":"V3, 4","author":"Bao Keqin","year":"2025","unstructured":"Keqin Bao, Jizhi Zhang, Wenjie Wang, Yang Zhang, Zhengyi Yang, Yanchen Luo, Chong Chen, Fuli Feng, and Qi Tian. 2025. A bi-step grounding paradigm for large language models in recommendation systems. ACM Transactions on Recommender Systems, V3, 4 (2025), 1-27."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.emnlp-main.589"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3604915.3608857"},{"key":"e_1_3_2_1_6_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_7_1","volume-title":"Hllm: Enhancing sequential recommendations via hierarchical large language models for item and user modeling. arXiv preprint arXiv:2409.12740","author":"Chen Junyi","year":"2024","unstructured":"Junyi Chen, Lu Chi, Bingyue Peng, and Zehuan Yuan. 2024a. Hllm: Enhancing sequential recommendations via hierarchical large language models for item and user modeling. arXiv preprint arXiv:2409.12740 (2024)."},{"key":"e_1_3_2_1_8_1","volume-title":"On Softmax Direct Preference Optimization for Recommendation. Advances in Neural Information Processing Systems","author":"Chen Yuxin","year":"2024","unstructured":"Yuxin Chen, Junfei Tan, An Zhang, Zhengyi Yang, Leheng Sheng, Enzhi Zhang, Xiang Wang, and Tat-Seng Chua. 2024b. On Softmax Direct Preference Optimization for Recommendation. Advances in Neural Information Processing Systems (2024)."},{"key":"e_1_3_2_1_9_1","volume-title":"Ultrafeedback: Boosting language models with scaled ai feedback. arXiv preprint arXiv:2310.01377","author":"Cui Ganqu","year":"2023","unstructured":"Ganqu Cui, Lifan Yuan, Ning Ding, Guanming Yao, Bingxiang He, Wei Zhu, Yuan Ni, Guotong Xie, Ruobing Xie, Yankai Lin, et al., 2023. Ultrafeedback: Boosting language models with scaled ai feedback. arXiv preprint arXiv:2310.01377 (2023)."},{"key":"e_1_3_2_1_10_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_11_1","volume-title":"Rohan Taori, Tianyi Zhang, Ishaan Gulrajani, Jimmy Ba, Carlos Guestrin, Percy S Liang, and Tatsunori B Hashimoto.","author":"Dubois Yann","year":"2023","unstructured":"Yann Dubois, Chen Xuechen Li, Rohan Taori, Tianyi Zhang, Ishaan Gulrajani, Jimmy Ba, Carlos Guestrin, Percy S Liang, and Tatsunori B Hashimoto. 2023. Alpacafarm: A simulation framework for methods that learn from human feedback. Advances in Neural Information Processing Systems, V36 (2023), 30039-30069."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","unstructured":"Daya Guo Dejian Yang Haowei Zhang Junxiao Song Ruoyu Zhang Runxin Xu Qihao Zhu Shirong Ma Peiyi Wang Wenfeng Liang et al. 2025b. DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning. Nature V645 8081 (2025) 633-638. doi:10.1038\/s41586-025-09422-z","DOI":"10.1038\/s41586-025-09422-z"},{"key":"e_1_3_2_1_13_1","volume-title":"OneSug: The Unified End-to-End Generative Framework for E-commerce Query Suggestion. arXiv preprint arXiv:2506.06913","author":"Guo Xian","year":"2025","unstructured":"Xian Guo, Ben Chen, Siyuan Wang, Ying Yang, Chenyi Lei, Yuqing Ding, and Han Li. 2025a. OneSug: The Unified End-to-End Generative Framework for E-commerce Query Suggestion. arXiv preprint arXiv:2506.06913 (2025)."},{"key":"e_1_3_2_1_14_1","unstructured":"Xuegang Hao Ming Zhang Alex Li Xiangyu Qian Zhi Ma Yanlong Zang Shijie Yang Zhongxuan Han Xiaolong Ma Jinguang Liu et al. 2025. OxygenREC: An Instruction-Following Generative Framework for E-commerce Recommendation. arXiv preprint arXiv:2512.22386 (2025)."},{"key":"e_1_3_2_1_15_1","volume-title":"Session-based Recommendations with Recurrent Neural Networks. In The 4th International Conference on Learning Representations.","author":"Hidasi Bal\u00e1zs","year":"2016","unstructured":"Bal\u00e1zs Hidasi, Alexandros Karatzoglou, Linas Baltrunas, and Domonkos Tikk. 2016. Session-based Recommendations with Recurrent Neural Networks. In The 4th International Conference on Learning Representations."},{"key":"e_1_3_2_1_16_1","volume-title":"A survey on generative recommendation: Data, model, and tasks. arXiv preprint arXiv:2510.27157","author":"Hou Min","year":"2025","unstructured":"Min Hou, Le Wu, Yuxin Liao, Yonghui Yang, Zhen Zhang, Changlong Zheng, Han Wu, and Richang Hong. 2025. A survey on generative recommendation: Data, model, and tasks. arXiv preprint arXiv:2510.27157 (2025)."},{"key":"e_1_3_2_1_17_1","unstructured":"Yupeng Hou Jiacheng Li Zhankui He An Yan Xiusi Chen and Julian McAuley. 2024. Bridging Language and Items for Retrieval and Recommendation. arXiv:2403.03952 [cs.IR] https:\/\/arxiv.org\/abs\/2403.03952"},{"key":"e_1_3_2_1_18_1","volume-title":"GenRec: Large Language Model for Generative Recommendation. In European Conference on Information Retrieval.","author":"Ji Jianchao","year":"2024","unstructured":"Jianchao Ji, Zelong Li, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Juntao Tan, and Yongfeng Zhang. 2024. GenRec: Large Language Model for Generative Recommendation. In European Conference on Information Retrieval."},{"key":"e_1_3_2_1_19_1","volume-title":"Self-Attentive Sequential Recommendation. In 2018 IEEE International Conference on Data Mining.","author":"Kang Wang-Cheng","unstructured":"Wang-Cheng Kang and Julian J. McAuley. 2018. Self-Attentive Sequential Recommendation. In 2018 IEEE International Conference on Data Mining."},{"key":"e_1_3_2_1_20_1","volume-title":"The Twelfth International Conference on Learning Representations.","author":"Kim Seungone","year":"2023","unstructured":"Seungone Kim, Jamin Shin, Yejin Cho, Joel Jang, Shayne Longpre, Hwaran Lee, Sangdoo Yun, Seongjin Shin, Sungdong Kim, James Thorne, et al., 2023. Prometheus: Inducing fine-grained evaluation capability in language models. In The Twelfth International Conference on Learning Representations."},{"key":"e_1_3_2_1_21_1","unstructured":"Xiaoyu Kong Leheng Sheng Junfei Tan Yuxin Chen Jiancan Wu An Zhang Xiang Wang and Xiangnan He. 2025. MiniOneRec: An Open-Source Framework for Scaling Generative Recommendation. arXiv:2510.24431 [cs.IR] https:\/\/arxiv.org\/abs\/2510.24431"},{"key":"e_1_3_2_1_22_1","volume-title":"Beyond the Surface: Enhancing LLM-as-a-Judge Alignment with Human via Internal Representations. arXiv preprint arXiv:2508.03550","author":"Lai Peng","year":"2025","unstructured":"Peng Lai, Jianjie Zheng, Sijie Cheng, Yun Chen, Peng Li, Yang Liu, and Guanhua Chen. 2025. Beyond the Surface: Enhancing LLM-as-a-Judge Alignment with Human via Internal Representations. arXiv preprint arXiv:2508.03550 (2025)."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01123"},{"key":"e_1_3_2_1_24_1","unstructured":"Harrison Lee Samrat Phatale Hassan Mansoor Thomas Mesnard Johan Ferret Kellie Lu Colton Bishop Ethan Hall Victor Carbune Abhinav Rastogi et al. 2023. Rlaif vs. rlhf: Scaling reinforcement learning from human feedback with ai feedback. arXiv preprint arXiv:2309.00267 (2023)."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.20944\/preprints202512.0203.v1"},{"key":"e_1_3_2_1_26_1","volume-title":"Rec-r1: Bridging generative large language models and user-centric recommendation systems via reinforcement learning. arXiv preprint arXiv:2503.24289","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. arXiv preprint arXiv:2503.24289 (2025)."},{"key":"e_1_3_2_1_27_1","volume-title":"Kwang-Ting Cheng, et al.","author":"Liu Shih-Yang","year":"2026","unstructured":"Shih-Yang Liu, Xin Dong, Ximing Lu, Shizhe Diao, Peter Belcak, Mingjie Liu, Min-Hung Chen, Hongxu Yin, Yu-Chiang Frank Wang, Kwang-Ting Cheng, et al., 2026. Gdpo: Group reward-decoupled normalization policy optimization for multi-reward rl optimization. arXiv preprint arXiv:2601.05242 (2026)."},{"key":"e_1_3_2_1_28_1","volume-title":"G-eval: NLG evaluation using gpt-4 with better human alignment. arXiv preprint arXiv:2303.16634","author":"Liu Yang","year":"2023","unstructured":"Yang Liu, Dan Iter, Yichong Xu, Shuohang Wang, Ruochen Xu, and Chenguang Zhu. 2023. G-eval: NLG evaluation using gpt-4 with better human alignment. arXiv preprint arXiv:2303.16634 (2023)."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3627673.3679730"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3746252.3761502"},{"key":"e_1_3_2_1_31_1","unstructured":"Fabian Mentzer David Minnen Eirikur Agustsson and Michael Tschannen. 2023. Finite Scalar Quantization: VQ-VAE Made Simple. arXiv:2309.15505 [cs.CV] https:\/\/arxiv.org\/abs\/2309.15505"},{"key":"e_1_3_2_1_32_1","volume-title":"One Model to Rank Them All: Unifying Online Advertising with End-to-End Learning. arXiv preprint arXiv:2505.19755","author":"Qiu Junyan","year":"2025","unstructured":"Junyan Qiu, Ze Wang, Fan Zhang, Zuowu Zheng, Jile Zhu, Jiangke Fan, Teng Zhang, Haitao Wang, and Xingxing Wang. 2025. One Model to Rank Them All: Unifying Online Advertising with End-to-End Learning. arXiv preprint arXiv:2505.19755 (2025)."},{"key":"e_1_3_2_1_33_1","first-page":"10299","author":"Rajput Shashank","year":"2023","unstructured":"Shashank Rajput, Nikhil Mehta, Anima Singh, Raghunandan Keshavan, Trung Vu, Lukasz Heidt, Lichan Hong, Yi Tay, Vinh Q Tran, Jonah Samost, et al., 2023. Recommender Systems with Generative Retrieval. In Advances in Neural Information Processing Systems. 10299-10315.","journal-title":"Recommender Systems with Generative Retrieval. In Advances in Neural Information Processing Systems."},{"key":"e_1_3_2_1_34_1","unstructured":"Jiakai Tang Yujie Luo Xunke Xi Fei Sun Xueyang Feng Sunhao Dai Chao Yi Dian Chen Zhujin Gao Yang Li et al. 2025. Interactive Recommendation Agent with Active User Commands. arXiv preprint arXiv:2509.21317 (2025)."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159656"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/3627673.3679569"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671775"},{"key":"e_1_3_2_1_38_1","volume-title":"Oneloc: Geo-aware generative recommender systems for local life service. arXiv preprint arXiv:2508.14646","author":"Wei Zhipeng","year":"2025","unstructured":"Zhipeng Wei, Kuo Cai, Junda She, Jie Chen, Minghao Chen, Yang Zeng, Qiang Luo, Wencong Zeng, Ruiming Tang, Kun Gai, et al., 2025. Oneloc: Geo-aware generative recommender systems for local life service. arXiv preprint arXiv:2508.14646 (2025)."},{"key":"e_1_3_2_1_39_1","volume-title":"Unger: Generative recommendation with a unified code via semantic and collaborative integration. ACM Transactions on Information Systems, V44, 2","author":"Xiao Longtao","year":"2025","unstructured":"Longtao Xiao, Haozhao Wang, Cheng Wang, Linfei Ji, Yifan Wang, Jieming Zhu, Zhenhua Dong, Rui Zhang, and Ruixuan Li. 2025. Unger: Generative recommendation with a unified code via semantic and collaborative integration. ACM Transactions on Information Systems, V44, 2 (2025), 1-31."},{"key":"e_1_3_2_1_40_1","unstructured":"An Yang Anfeng Li Baosong Yang Beichen Zhang Binyuan Hui Bo Zheng Bowen Yu Chang Gao Chengen Huang Chenxu Lv et al. 2025. Qwen3 technical report. arXiv preprint arXiv:2505.09388 (2025)."},{"key":"e_1_3_2_1_41_1","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. CoRR (2024)."},{"key":"e_1_3_2_1_42_1","unstructured":"Jiayi Ye Yanbo Wang Yue Huang Dongping Chen Qihui Zhang Nuno Moniz Tian Gao Werner Geyer Chao Huang Pin-Yu Chen et al. 2024. Justice or prejudice? quantifying biases in llm-as-a-judge. arXiv preprint arXiv:2410.02736 (2024)."},{"key":"e_1_3_2_1_43_1","unstructured":"Chao Yi Dian Chen Gaoyang Guo Jiakai Tang Jian Wu Jing Yu Mao Zhang Wen Chen Wenjun Yang Yujie Luo et al. 2025a. RecGPT-V2 Technical Report. arXiv preprint arXiv:2512.14503 (2025)."},{"key":"e_1_3_2_1_44_1","unstructured":"Chao Yi Dian Chen Gaoyang Guo Jiakai Tang Jian Wu Jing Yu Mao Zhang Sunhao Dai Wen Chen Wenjun Yang et al. 2025b. Recgpt technical report. arXiv preprint arXiv:2507.22879 (2025)."},{"key":"e_1_3_2_1_45_1","volume-title":"Forty-first International Conference on Machine Learning.","author":"Yuan Weizhe","year":"2024","unstructured":"Weizhe Yuan, Richard Yuanzhe Pang, Kyunghyun Cho, Xian Li, Sainbayar Sukhbaatar, Jing Xu, and Jason E Weston. 2024. Self-rewarding language models. In Forty-first International Conference on Machine Learning."},{"key":"e_1_3_2_1_46_1","volume-title":"Proceedings of the 41st International Conference on Machine Learning. 58484-58509","author":"Zhai Jiaqi","year":"2024","unstructured":"Jiaqi Zhai, Lucy Liao, Xing Liu, Yueming Wang, Rui Li, Xuan Cao, Leon Gao, Zhaojie Gong, Fangda Gu, Jiayuan He, et al., 2024. Actions Speak Louder than Words: Trillion-parameter Sequential Transducers for Generative Recommendations. In Proceedings of the 41st International Conference on Machine Learning. 58484-58509."},{"key":"e_1_3_2_1_47_1","volume-title":"GPR: Towards a Generative Pre-trained One-Model Paradigm for Large-Scale Advertising Recommendation. arXiv preprint arXiv:2511.10138","author":"Zhang Jun","year":"2025","unstructured":"Jun Zhang, Yi Li, Yue Liu, Changping Wang, Yuan Wang, Yuling Xiong, Xun Liu, Haiyang Wu, Qian Li, Enming Zhang, et al., 2025. GPR: Towards a Generative Pre-trained One-Model Paradigm for Large-Scale Advertising Recommendation. arXiv preprint arXiv:2511.10138 (2025)."},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE60146.2024.00118"},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"crossref","unstructured":"Lianmin Zheng Wei-Lin Chiang Ying Sheng Siyuan Zhuang Zhanghao Wu Yonghao Zhuang Zi Lin Zhuohan Li Dacheng Li Eric Xing et al. 2023. Judging llm-as-a-judge with mt-bench and chatbot arena. Advances in Neural Information Processing Systems V36 (2023) 46595-46623.","DOI":"10.52202\/075280-2020"},{"key":"e_1_3_2_1_50_1","volume-title":"EGA-V2: An End-to-end Generative Framework for Industrial Advertising. arXiv preprint arXiv:2505.17549","author":"Zheng Zuowu","year":"2025","unstructured":"Zuowu Zheng, Ze Wang, Fan Yang, Jiangke Fan, Teng Zhang, Yongkang Wang, and Xingxing Wang. 2025. EGA-V2: An End-to-end Generative Framework for Industrial Advertising. arXiv preprint arXiv:2505.17549 (2025)."},{"key":"e_1_3_2_1_51_1","unstructured":"Guorui Zhou Jiaxin Deng Jinghao Zhang Kuo Cai Lejian Ren Qiang Luo Qianqian Wang Qigen Hu Rui Huang Shiyao Wang et al. 2025a. OneRec Technical Report. arXiv preprint arXiv:2506.13695 (2025)."},{"key":"e_1_3_2_1_52_1","unstructured":"Guorui Zhou Hengrui Hu Hongtao Cheng Huanjie Wang Jiaxin Deng Jinghao Zhang Kuo Cai Lejian Ren Lu Ren Liao Yu et al. 2025b. Onerec-v2 technical report. arXiv preprint arXiv:2508.20900 (2025)."},{"key":"e_1_3_2_1_53_1","volume-title":"Judgelm: Fine-tuned large language models are scalable judges. arXiv preprint arXiv:2310.17631","author":"Zhu Lianghui","year":"2023","unstructured":"Lianghui Zhu, Xinggang Wang, and Xinlong Wang. 2023. Judgelm: Fine-tuned large language models are scalable judges. arXiv preprint arXiv:2310.17631 (2023)."}],"event":{"name":"KDD '26: The 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining","location":"Jeju Island Republic of Korea","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 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2"],"original-title":[],"deposited":{"date-parts":[[2026,8,7]],"date-time":"2026-08-07T01:10:59Z","timestamp":1786065059000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3770855.3818473"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8,8]]},"references-count":53,"alternative-id":["10.1145\/3770855.3818473","10.1145\/3770855"],"URL":"https:\/\/doi.org\/10.1145\/3770855.3818473","relation":{},"subject":[],"published":{"date-parts":[[2026,8,8]]},"assertion":[{"value":"2026-08-08","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}