{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T06:16:14Z","timestamp":1782800174997,"version":"3.54.5"},"publisher-location":"New York, NY, USA","reference-count":65,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,6,23]]},"DOI":"10.1145\/3715275.3732196","type":"proceedings-article","created":{"date-parts":[[2025,6,23]],"date-time":"2025-06-23T17:03:13Z","timestamp":1750698193000},"page":"3094-3105","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["The Root Shapes the Fruit: On the Persistence of Gender-Exclusive Harms in Aligned Language Models"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0531-7520","authenticated-orcid":false,"given":"Anaelia","family":"Ovalle","sequence":"first","affiliation":[{"name":"Meta, New York, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-9354-1008","authenticated-orcid":false,"given":"Krunoslav Lehman","family":"Pavasovic","sequence":"additional","affiliation":[{"name":"Meta, Paris, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-9268-1581","authenticated-orcid":false,"given":"Louis","family":"Martin","sequence":"additional","affiliation":[{"name":"Meta, Paris, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-8296-0764","authenticated-orcid":false,"given":"Luke","family":"Zettlemoyer","sequence":"additional","affiliation":[{"name":"Meta, Seattle, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-3076-1948","authenticated-orcid":false,"given":"Eric Michael","family":"Smith","sequence":"additional","affiliation":[{"name":"Meta, New York, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5365-0072","authenticated-orcid":false,"given":"Kai-Wei","family":"Chang","sequence":"additional","affiliation":[{"name":"UCLA, Los Angeles, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5281-3343","authenticated-orcid":false,"given":"Adina","family":"Williams","sequence":"additional","affiliation":[{"name":"Meta, New York, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5403-4124","authenticated-orcid":false,"given":"Levent","family":"Sagun","sequence":"additional","affiliation":[{"name":"Meta, Paris, France"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2025,6,23]]},"reference":[{"key":"e_1_3_3_2_2_2","unstructured":"A. Askell et\u00a0al. 2021. A general language assistant as a laboratory for alignment. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2112.00861 (2021)."},{"key":"e_1_3_3_2_3_2","unstructured":"Yuntao Bai Andy Jones Kamal Ndousse Amanda Askell Anna Chen Nova DasSarma Dawn Drain Stanislav Fort Deep Ganguli Tom Henighan et\u00a0al. 2022. Training a helpful and harmless assistant with reinforcement learning from human feedback. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2204.05862 (2022)."},{"key":"e_1_3_3_2_4_2","unstructured":"Yuntao Bai Saurav Kadavath Sandipan Kundu Amanda Askell Jackson Kernion Andy Jones Anna Chen Anna Goldie Azalia Mirhoseini Cameron McKinnon et\u00a0al. 2022. Constitutional AI: harmlessness from AI feedback. 2022. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2212.08073 (2022)."},{"key":"e_1_3_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1145\/3442188.3445922"},{"key":"e_1_3_3_2_6_2","first-page":"2397","volume-title":"International Conference on Machine Learning","author":"Biderman Stella","year":"2023","unstructured":"Stella Biderman, Hailey Schoelkopf, Quentin\u00a0Gregory Anthony, Herbie Bradley, Kyle O\u2019Brien, Eric Hallahan, Mohammad\u00a0Aflah Khan, Shivanshu Purohit, USVSN\u00a0Sai Prashanth, Edward Raff, et\u00a0al. 2023. Pythia: A suite for analyzing large language models across training and scaling. In International Conference on Machine Learning. PMLR, 2397\u20132430."},{"key":"e_1_3_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.81"},{"key":"e_1_3_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.findings-acl.522"},{"key":"e_1_3_3_2_9_2","doi-asserted-by":"crossref","unstructured":"Ralph\u00a0Allan Bradley and Milton\u00a0E Terry. 1952. Rank analysis of incomplete block designs: I. The method of paired comparisons. Biometrika 39 3\/4 (1952) 324\u2013345.","DOI":"10.1093\/biomet\/39.3-4.324"},{"key":"e_1_3_3_2_10_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-97-5672-8_40"},{"key":"e_1_3_3_2_11_2","unstructured":"Wei-Lin Chiang Lianmin Zheng Ying Sheng Anastasios\u00a0Nikolas Angelopoulos Tianle Li Dacheng Li Hao Zhang Banghua Zhu Michael Jordan Joseph\u00a0E. Gonzalez and Ion Stoica. 2024. Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference. arxiv:https:\/\/arXiv.org\/abs\/2403.04132\u00a0[cs.AI]"},{"key":"e_1_3_3_2_12_2","unstructured":"Sayak\u00a0Ray Chowdhury Anush Kini and Nagarajan Natarajan. 2024. Provably robust dpo: Aligning language models with noisy feedback. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2403.00409 (2024)."},{"key":"e_1_3_3_2_13_2","doi-asserted-by":"crossref","unstructured":"Victoria Clarke and Virginia Braun. 2017. Thematic analysis. The journal of positive psychology 12 3 (2017) 297\u2013298.","DOI":"10.1080\/17439760.2016.1262613"},{"key":"e_1_3_3_2_14_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.150"},{"key":"e_1_3_3_2_15_2","doi-asserted-by":"publisher","DOI":"10.1145\/3442188.3445924"},{"key":"e_1_3_3_2_16_2","unstructured":"Harnoor Dhingra Preetiha Jayashanker Sayali Moghe and Emma Strubell. 2023. Queer people are people first: Deconstructing sexual identity stereotypes in large language models. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2307.00101 (2023)."},{"key":"e_1_3_3_2_17_2","unstructured":"Xiangjue Dong Yibo Wang Philip\u00a0S Yu and James Caverlee. 2024. Disclosure and mitigation of gender bias in llms. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2402.11190 (2024)."},{"key":"e_1_3_3_2_18_2","first-page":"5988","volume-title":"International Conference on Machine Learning","author":"Ethayarajh Kawin","year":"2022","unstructured":"Kawin Ethayarajh, Yejin Choi, and Swabha Swayamdipta. 2022. Understanding Dataset Difficulty with V-Usable Information. In International Conference on Machine Learning. PMLR, 5988\u20136008."},{"key":"e_1_3_3_2_19_2","volume-title":"Human-Aware Loss Functions (HALOs)","author":"Ethayarajh Kawin","year":"2023","unstructured":"Kawin Ethayarajh, Winnie Xu, Dan Jurafsky, and Douwe Kiela. 2023. Human-Aware Loss Functions (HALOs). Technical Report. Contextual AI. https:\/\/github.com\/ContextualAI\/HALOs\/blob\/main\/assets\/report.pdf."},{"key":"e_1_3_3_2_20_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.acl-long.507"},{"key":"e_1_3_3_2_21_2","unstructured":"Duanyu Feng Bowen Qin Chen Huang Zheng Zhang and Wenqiang Lei. 2024. Towards analyzing and understanding the limitations of dpo: A theoretical perspective. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2404.04626 (2024)."},{"key":"e_1_3_3_2_22_2","unstructured":"Deep Ganguli Liane Lovitt Jackson Kernion Amanda Askell Yuntao Bai Saurav Kadavath Ben Mann Ethan Perez Nicholas Schiefer Kamal Ndousse et\u00a0al. 2022. Red teaming language models to reduce harms: Methods scaling behaviors and lessons learned. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2209.07858 (2022)."},{"key":"e_1_3_3_2_23_2","doi-asserted-by":"crossref","unstructured":"Nikhil Garg Londa Schiebinger Dan Jurafsky and James Zou. 2018. Word embeddings quantify 100 years of gender and ethnic stereotypes. Proceedings of the National Academy of Sciences 115 16 (2018) E3635\u2013E3644.","DOI":"10.1073\/pnas.1720347115"},{"key":"e_1_3_3_2_24_2","doi-asserted-by":"crossref","unstructured":"Timnit Gebru Jamie Morgenstern Briana Vecchione Jennifer\u00a0Wortman Vaughan Hanna Wallach Hal\u00a0Daum\u00e9 Iii and Kate Crawford. 2021. Datasheets for datasets. Commun. ACM 64 12 (2021) 86\u201392.","DOI":"10.1145\/3458723"},{"key":"e_1_3_3_2_25_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.findings-emnlp.301"},{"key":"e_1_3_3_2_26_2","unstructured":"Srishti Gureja Lester James\u00a0V. Miranda Shayekh\u00a0Bin Islam Rishabh Maheshwary Drishti Sharma Gusti Winata Nathan Lambert Sebastian Ruder Sara Hooker and Marzieh Fadaee. 2024. M-RewardBench: Evaluating Reward Models in Multilingual Settings. arxiv:https:\/\/arXiv.org\/abs\/2410.15522\u00a0[cs.CL] https:\/\/arxiv.org\/abs\/2410.15522"},{"key":"e_1_3_3_2_27_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.acl-long.293"},{"key":"e_1_3_3_2_28_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.naacl-long.419"},{"key":"e_1_3_3_2_29_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.264"},{"key":"e_1_3_3_2_30_2","doi-asserted-by":"crossref","unstructured":"Os Keyes. 2018. The misgendering machines: Trans\/HCI implications of automatic gender recognition. Proceedings of the ACM on human-computer interaction 2 CSCW (2018) 1\u201322.","DOI":"10.1145\/3274357"},{"key":"e_1_3_3_2_31_2","unstructured":"Andreas K\u00f6pf Yannic Kilcher Dimitri von R\u00fctte Sotiris Anagnostidis Zhi\u00a0Rui Tam Keith Stevens Abdullah Barhoum Duc Nguyen Oliver Stanley Rich\u00e1rd Nagyfi et\u00a0al. 2024. Openassistant conversations-democratizing large language model alignment. Advances in Neural Information Processing Systems 36 (2024)."},{"key":"e_1_3_3_2_32_2","unstructured":"Shachi\u00a0H Kumar Saurav Sahay Sahisnu Mazumder Eda Okur Ramesh Manuvinakurike Nicole Beckage Hsuan Su Hung-yi Lee and Lama Nachman. 2024. Decoding Biases: Automated Methods and LLM Judges for Gender Bias Detection in Language Models. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2408.03907 (2024)."},{"key":"e_1_3_3_2_33_2","unstructured":"Nathan Lambert Thomas Krendl\u00a0Gilbert and Tom Zick. 2023. The history and risks of reinforcement learning and human feedback. arXiv e-prints (2023) arXiv\u20132310."},{"key":"e_1_3_3_2_34_2","unstructured":"Nathan Lambert Valentina Pyatkin Jacob Morrison LJ Miranda Bill\u00a0Yuchen Lin Khyathi Chandu Nouha Dziri Sachin Kumar Tom Zick Yejin Choi et\u00a0al. 2024. Rewardbench: Evaluating reward models for language modeling. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2403.13787 (2024)."},{"key":"e_1_3_3_2_35_2","volume-title":"The Twelfth International Conference on Learning Representations","author":"Lin Bill\u00a0Yuchen","year":"2023","unstructured":"Bill\u00a0Yuchen Lin, Abhilasha Ravichander, Ximing Lu, Nouha Dziri, Melanie Sclar, Khyathi Chandu, Chandra Bhagavatula, and Yejin Choi. 2023. The unlocking spell on base llms: Rethinking alignment via in-context learning. In The Twelfth International Conference on Learning Representations."},{"key":"e_1_3_3_2_36_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-long.229"},{"key":"e_1_3_3_2_37_2","doi-asserted-by":"publisher","DOI":"10.1145\/3287560.3287596"},{"key":"e_1_3_3_2_38_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.154"},{"key":"e_1_3_3_2_39_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.ltedi-1.4"},{"key":"e_1_3_3_2_40_2","unstructured":"Long Ouyang Jeffrey Wu Xu Jiang Diogo Almeida Carroll Wainwright Pamela Mishkin Chong Zhang Sandhini Agarwal Katarina Slama Alex Ray et\u00a0al. 2022. Training language models to follow instructions with human feedback. Advances in neural information processing systems 35 (2022) 27730\u201327744."},{"key":"e_1_3_3_2_41_2","doi-asserted-by":"publisher","DOI":"10.1145\/3593013.3594078"},{"key":"e_1_3_3_2_42_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.findings-naacl.113"},{"key":"e_1_3_3_2_43_2","doi-asserted-by":"crossref","unstructured":"Ryan Park Rafael Rafailov Stefano Ermon and Chelsea Finn. 2024. Disentangling length from quality in direct preference optimization. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2403.19159 (2024).","DOI":"10.18653\/v1\/2024.findings-acl.297"},{"key":"e_1_3_3_2_44_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.findings-acl.165"},{"key":"e_1_3_3_2_45_2","doi-asserted-by":"crossref","unstructured":"Jae\u00a0A Puckett Alix\u00a0B Aboussouan Allura\u00a0L Ralston Brian Mustanski and Michael\u00a0E Newcomb. 2021. Systems of cissexism and the daily production of stress for transgender and gender diverse people. International Journal of Transgender Health (2021) 1\u201314.","DOI":"10.1080\/26895269.2021.1937437"},{"key":"e_1_3_3_2_46_2","doi-asserted-by":"publisher","DOI":"10.1145\/3593013.3594134"},{"key":"e_1_3_3_2_47_2","first-page":"53728","volume-title":"Advances in Neural Information Processing Systems","volume":"36","author":"Rafailov Rafael","year":"2023","unstructured":"Rafael Rafailov, Archit Sharma, Eric Mitchell, Christopher\u00a0D Manning, Stefano Ermon, and Chelsea Finn. 2023. Direct Preference Optimization: Your Language Model is Secretly a Reward Model. In Advances in Neural Information Processing Systems, A.\u00a0Oh, T.\u00a0Neumann, A.\u00a0Globerson, K.\u00a0Saenko, M.\u00a0Hardt, and S.\u00a0Levine (Eds.), Vol.\u00a036. Curran Associates, Inc., 53728\u201353741. https:\/\/proceedings.neurips.cc\/paper_files\/paper\/2023\/file\/a85b405ed65c6477a4fe8302b5e06ce7-Paper-Conference.pdf"},{"key":"e_1_3_3_2_48_2","unstructured":"Inioluwa\u00a0Deborah Raji Emily\u00a0M Bender Amandalynne Paullada Emily Denton and Alex Hanna. 2021. AI and the Everything in the Whole Wide World Benchmark. (2021)."},{"key":"e_1_3_3_2_49_2","doi-asserted-by":"crossref","unstructured":"Oakleigh\u00a0M Reed Andrew\u00a0S Franks and Kyle\u00a0C Scherr. 2015. Are perceptions of transgender individuals affected by mental illness stigma? A moderated mediation analysis of anti-transgender prejudice in hiring recommendations. Psychology of sexual orientation and gender diversity 2 4 (2015) 463.","DOI":"10.1037\/sgd0000138"},{"key":"e_1_3_3_2_50_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-2002"},{"key":"e_1_3_3_2_51_2","unstructured":"Amir Saeidi Shivanshu Verma and Chitta Baral. 2024. Insights into Alignment: Evaluating DPO and its Variants Across Multiple Tasks. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2404.14723 (2024)."},{"key":"e_1_3_3_2_52_2","volume-title":"In Participation+ Algorithms Workshop at CSCW 2018","author":"Scheuerman Morgan\u00a0Klaus","year":"2018","unstructured":"Morgan\u00a0Klaus Scheuerman and Jed\u00a0R Brubaker. 2018. Gender is not a Boolean: towards designing algorithms to understand complex human identities. In In Participation+ Algorithms Workshop at CSCW 2018."},{"key":"e_1_3_3_2_53_2","unstructured":"John Schulman Filip Wolski Prafulla Dhariwal Alec Radford and Oleg Klimov. 2017. Proximal policy optimization algorithms. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/1707.06347 (2017)."},{"key":"e_1_3_3_2_54_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1339"},{"key":"e_1_3_3_2_55_2","unstructured":"Eric\u00a0Michael Smith Melissa Hall Melanie Kambadur Eleonora Presani and Adina Williams. 2022. \" I\u2019m sorry to hear that\": Finding New Biases in Language Models with a Holistic Descriptor Dataset. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2205.09209 (2022)."},{"key":"e_1_3_3_2_56_2","unstructured":"Alex Tamkin Amanda Askell Liane Lovitt Esin Durmus Nicholas Joseph Shauna Kravec Karina Nguyen Jared Kaplan and Deep Ganguli. 2023. Evaluating and mitigating discrimination in language model decisions. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2312.03689 (2023)."},{"key":"e_1_3_3_2_57_2","unstructured":"Hugo Touvron Louis Martin Kevin Stone Peter Albert Amjad Almahairi Yasmine Babaei Nikolay Bashlykov Soumya Batra Prajjwal Bhargava Shruti Bhosale et\u00a0al. 2023. Llama 2: Open foundation and fine-tuned chat models. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2307.09288 (2023)."},{"key":"e_1_3_3_2_58_2","first-page":"10882","volume-title":"International Conference on Machine Learning","author":"Wang Angelina","year":"2021","unstructured":"Angelina Wang and Olga Russakovsky. 2021. Directional bias amplification. In International Conference on Machine Learning. PMLR, 10882\u201310893."},{"key":"e_1_3_3_2_59_2","unstructured":"Laura Weidinger John Mellor Maribeth Rauh Conor Griffin Jonathan Uesato Po-Sen Huang Myra Cheng Mia Glaese Borja Balle Atoosa Kasirzadeh et\u00a0al. 2021. Ethical and social risks of harm from language models. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2112.04359 (2021)."},{"key":"e_1_3_3_2_60_2","unstructured":"Shusheng Xu Wei Fu Jiaxuan Gao Wenjie Ye Weilin Liu Zhiyu Mei Guangju Wang Chao Yu and Yi Wu. 2024. Is dpo superior to ppo for llm alignment? a comprehensive study. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2404.10719 (2024)."},{"key":"e_1_3_3_2_61_2","unstructured":"Shaolei Zhang Qingkai Fang Zhuocheng Zhang Zhengrui Ma Yan Zhou Langlin Huang Mengyu Bu Shangtong Gui Yunji Chen Xilin Chen and Yang Feng. 2023. BayLing: Bridging Cross-lingual Alignment and Instruction Following through Interactive Translation for Large Language Models. ArXiv abs\/2306.10968 (2023). https:\/\/api.semanticscholar.org\/CorpusID:259203913"},{"key":"e_1_3_3_2_62_2","unstructured":"Tao Zhang Ziqian Zeng Yuxiang Xiao Huiping Zhuang Cen Chen James Foulds and Shimei Pan. 2024. GenderAlign: An Alignment Dataset for Mitigating Gender Bias in Large Language Models. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2406.13925 (2024)."},{"key":"e_1_3_3_2_63_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1323"},{"key":"e_1_3_3_2_64_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-2003"},{"key":"e_1_3_3_2_65_2","first-page":"55006","volume-title":"Advances in Neural Information Processing Systems","volume":"36","author":"Zhou Chunting","year":"2023","unstructured":"Chunting Zhou, Pengfei Liu, Puxin Xu, Srinivasan Iyer, Jiao Sun, Yuning Mao, Xuezhe Ma, Avia Efrat, Ping Yu, LILI YU, Susan Zhang, Gargi Ghosh, Mike Lewis, Luke Zettlemoyer, and Omer Levy. 2023. LIMA: Less Is More for Alignment. In Advances in Neural Information Processing Systems, A.\u00a0Oh, T.\u00a0Neumann, A.\u00a0Globerson, K.\u00a0Saenko, M.\u00a0Hardt, and S.\u00a0Levine (Eds.), Vol.\u00a036. Curran Associates, Inc., 55006\u201355021. https:\/\/proceedings.neurips.cc\/paper_files\/paper\/2023\/file\/ac662d74829e4407ce1d126477f4a03a-Paper-Conference.pdf"},{"key":"e_1_3_3_2_66_2","unstructured":"Daniel\u00a0M Ziegler Nisan Stiennon Jeffrey Wu Tom\u00a0B Brown Alec Radford Dario Amodei Paul Christiano and Geoffrey Irving. 2019. Fine-tuning language models from human preferences. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/1909.08593 (2019)."}],"event":{"name":"FAccT '25: The 2025 ACM Conference on Fairness, Accountability, and Transparency","location":"Athens Greece","acronym":"FAccT '25"},"container-title":["Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3715275.3732196","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,24]],"date-time":"2025-06-24T11:26:38Z","timestamp":1750764398000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3715275.3732196"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,23]]},"references-count":65,"alternative-id":["10.1145\/3715275.3732196","10.1145\/3715275"],"URL":"https:\/\/doi.org\/10.1145\/3715275.3732196","relation":{},"subject":[],"published":{"date-parts":[[2025,6,23]]},"assertion":[{"value":"2025-06-23","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}