{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T17:14:14Z","timestamp":1775841254197,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":76,"publisher":"ACM","funder":[{"name":"the National Natural Science Foundation of China","award":["No. U2336202"],"award-info":[{"award-number":["No. U2336202"]}]},{"name":"the National Natural Science Foundation of China","award":["No.U21B2009"],"award-info":[{"award-number":["No.U21B2009"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,4,13]]},"DOI":"10.1145\/3774904.3792733","type":"proceedings-article","created":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T21:54:39Z","timestamp":1775771679000},"page":"7679-7690","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Unlocking the Multilingual Long-Tail Web: A Fused Macro-Micro Framework for Scalable Content Analysis"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4274-1846","authenticated-orcid":false,"given":"Jiarui","family":"Zhang","sequence":"first","affiliation":[{"name":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China and School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8684-0283","authenticated-orcid":false,"given":"Yifan","family":"Deng","sequence":"additional","affiliation":[{"name":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China and School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-3308-0306","authenticated-orcid":false,"given":"Qihao","family":"Wang","sequence":"additional","affiliation":[{"name":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China and School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2026,4,12]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Proc. of CMLC.","author":"Julien","unstructured":"Julien Abadji et al., 2021. Ungoliant: An optimized pipeline for the generation of a very large-scale multilingual web corpus. In Proc. of CMLC."},{"key":"e_1_3_2_1_2_1","unstructured":"Julien Abadji et al. 2022. Towards a cleaner document-oriented multilingual crawled corpus. arXiv preprint arXiv:2201.06642 (2022)."},{"key":"e_1_3_2_1_3_1","first-page":"4232","author":"Kabir Ahuja","year":"2023","unstructured":"Kabir Ahuja et al., 2023. MEGA: Multilingual Evaluation of Generative AI. In Proc. of EMNLP. 4232-4267.","journal-title":"MEGA: Multilingual Evaluation of Generative AI. In Proc. of EMNLP."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"crossref","unstructured":"Amirhossein Aliakbarzadeh et al. 2025. Exploring Robustness of Multilingual LLMs on Real-World Noisy Data. arXiv preprint arXiv:2501.08322 (2025).","DOI":"10.32388\/3X6CXV"},{"key":"e_1_3_2_1_5_1","unstructured":"Anthropic. 2024. Claude 3.7 Sonnet Release. https:\/\/www.anthropic.com\/news\/claude-3-7-sonnet"},{"key":"e_1_3_2_1_6_1","volume-title":"Proc. of ACL.","author":"Marta","unstructured":"Marta Ba n\u00f3n et al., 2020. ParaCrawl: Web-scale acquisition of parallel corpora. In Proc. of ACL."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442188.3445922"},{"key":"e_1_3_2_1_8_1","first-page":"41","article-title":"Curriculum learning","author":"Yoshua Bengio","year":"2009","unstructured":"Yoshua Bengio et al., 2009. Curriculum learning. In Proc. of ICML. 41-48.","journal-title":"Proc. of ICML."},{"key":"e_1_3_2_1_9_1","unstructured":"Weilin Cai et al. 2025. A survey on mixture of experts in large language models. IEEE Trans. on Knowledge and Data Engineering (2025)."},{"key":"e_1_3_2_1_10_1","first-page":"1597","article-title":"A simple framework for contrastive learning of visual representations","author":"Ting Chen","year":"2020","unstructured":"Ting Chen et al., 2020. A simple framework for contrastive learning of visual representations. In Proc. of ICML. 1597-1607.","journal-title":"Proc. of ICML."},{"key":"e_1_3_2_1_11_1","first-page":"283","volume-title":"TACL","volume":"12","author":"Roi","year":"2024","unstructured":"Roi Cohen et al., 2024. Evaluating the ripple effects of knowledge editing in language models. TACL, Vol. 12 (2024), 283-298."},{"key":"e_1_3_2_1_12_1","unstructured":"Alexis Conneau et al. 2019. Unsupervised cross-lingual representation learning at scale. arXiv preprint arXiv:1911.02116 (2019)."},{"key":"e_1_3_2_1_13_1","unstructured":"Marta R Costa-Juss\u00e0 et al. 2022. No language left behind: Scaling human-centered machine translation. arXiv preprint arXiv:2207.04672 (2022)."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-024-07335-x"},{"key":"e_1_3_2_1_15_1","unstructured":"Menglong Cui et al. 2025. Multilingual machine translation with open large language models at practical scale: An empirical study. arXiv preprint arXiv:2502.02481 (2025)."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"crossref","unstructured":"Daniel Deutsch et al. 2025. Wmt24: Expanding the language coverage of wmt24 to 55 languages & dialects. arXiv preprint arXiv:2502.12404 (2025).","DOI":"10.18653\/v1\/2025.findings-acl.634"},{"key":"e_1_3_2_1_17_1","first-page":"590","article-title":"TMU-HIT at MLSP 2024: How Well Can GPT-4 Tackle Multilingual Lexical Simplification?","author":"Taisei Enomoto","year":"2024","unstructured":"Taisei Enomoto et al., 2024. TMU-HIT at MLSP 2024: How Well Can GPT-4 Tackle Multilingual Lexical Simplification?. In Proc. of BEA. 590-598.","journal-title":"Proc. of BEA."},{"key":"e_1_3_2_1_18_1","unstructured":"Markus Freitag et al. 2021. Minimum bayes risk decoding with neural metrics of translation quality. arXiv preprint arXiv:2111.09388 (2021)."},{"key":"e_1_3_2_1_19_1","unstructured":"Yunfan Gao et al. 2023. Retrieval-augmented generation for large language models: A survey. arXiv preprint arXiv:2312.10997 (2023)."},{"key":"e_1_3_2_1_20_1","unstructured":"Aaron Grattafiori et al. 2024. The llama 3 herd of models. arXiv preprint arXiv:2407.21783 (2024)."},{"key":"e_1_3_2_1_21_1","first-page":"979","volume-title":"TACL","volume":"12","author":"Nuno","year":"2024","unstructured":"Nuno M Guerreiro et al., 2024. xcomet: Transparent machine translation evaluation through fine-grained error detection. TACL, Vol. 12 (2024), 979-995."},{"key":"e_1_3_2_1_22_1","first-page":"1234","article-title":"Cross-lingual dependency parsing based on distributed representations","author":"Jiang Guo","year":"2015","unstructured":"Jiang Guo et al., 2015. Cross-lingual dependency parsing based on distributed representations. In Proc. of ACL. 1234-1244.","journal-title":"Proc. of ACL."},{"key":"e_1_3_2_1_23_1","unstructured":"Zeyu Han et al. 2024. Parameter-efficient fine-tuning for large models: A comprehensive survey. arXiv preprint arXiv:2403.14608 (2024)."},{"key":"e_1_3_2_1_24_1","first-page":"4257","author":"Yifei He","year":"2025","unstructured":"Yifei He et al., 2025. Scaling Laws for Multilingual Language Models. In Findings of ACL. 4257-4273.","journal-title":"Scaling Laws for Multilingual Language Models. In Findings of ACL."},{"key":"e_1_3_2_1_25_1","volume-title":"Lora: Low-rank adaptation of large language models. ICLR","author":"Hu Edward J","year":"2022","unstructured":"Edward J Hu et al., 2022. Lora: Low-rank adaptation of large language models. ICLR (2022)."},{"key":"e_1_3_2_1_26_1","unstructured":"Aaron Hurst et al. 2024. Gpt-4o system card. arXiv preprint arXiv:2410.21276 (2024)."},{"key":"e_1_3_2_1_27_1","first-page":"1082","article-title":"Glot500: Scaling Multilingual Corpora and Language Models to 500 Languages","author":"Ayyoob Imani","year":"2023","unstructured":"Ayyoob Imani et al., 2023. Glot500: Scaling Multilingual Corpora and Language Models to 500 Languages. In Proc. of ACL. 1082-1117.","journal-title":"Proc. of ACL."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-019-0192-5"},{"key":"e_1_3_2_1_29_1","first-page":"1696","article-title":"Enlarged large margin loss for imbalanced classification","author":"Kato Sota","year":"2023","unstructured":"Sota Kato and Kazuhiro Hotta. 2023. Enlarged large margin loss for imbalanced classification. In Proc. of SMC. 1696-1701.","journal-title":"Proc. of SMC."},{"key":"e_1_3_2_1_30_1","volume-title":"Proc. of EMNLP.","author":"Phillip","unstructured":"Phillip Keung et al., 2020. The Multilingual Amazon Reviews Corpus. In Proc. of EMNLP."},{"key":"e_1_3_2_1_31_1","unstructured":"Hwichan Kim et al. 2024. Pruning Multilingual Large Language Models for Multilingual Inference. arXiv preprint arXiv:2409.16911 (2024)."},{"key":"e_1_3_2_1_32_1","first-page":"3521","volume-title":"PNAS","volume":"114","author":"James","year":"2017","unstructured":"James Kirkpatrick et al., 2017. Overcoming catastrophic forgetting in neural networks. PNAS, Vol. 114, 13 (2017), 3521-3526."},{"key":"e_1_3_2_1_33_1","first-page":"169","article-title":"Minimum Bayes-Risk Decoding for Statistical Machine Translation","author":"Kumar Shankar","year":"2004","unstructured":"Shankar Kumar and Bill Byrne. 2004. Minimum Bayes-Risk Decoding for Statistical Machine Translation. In Proc. of NAACL. 169-176.","journal-title":"Proc. of NAACL."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v39i23.34628"},{"key":"e_1_3_2_1_35_1","first-page":"9019","article-title":"Few-shot learning with multilingual generative language models","author":"Lin Xi Victoria","year":"2022","unstructured":"Xi Victoria Lin et al., 2022. Few-shot learning with multilingual generative language models. In Proc. of EMNLP. 9019-9052.","journal-title":"Proc. of EMNLP."},{"key":"e_1_3_2_1_36_1","unstructured":"Xiaoxia Liu et al. 2023. Prompting frameworks for large language models: A survey. arXiv preprint arXiv:2311.12785 (2023)."},{"key":"e_1_3_2_1_37_1","volume-title":"Xlm-t: Scaling up multilingual machine translation with pretrained cross-lingual transformer encoders. arXiv preprint arXiv:2012.15547","author":"Shuming Ma","year":"2020","unstructured":"Shuming Ma et al., 2020. Xlm-t: Scaling up multilingual machine translation with pretrained cross-lingual transformer encoders. arXiv preprint arXiv:2012.15547 (2020)."},{"key":"e_1_3_2_1_38_1","unstructured":"Pedro Henrique Martins et al. 2025. Eurollm-9b: Technical report. arXiv preprint arXiv:2506.04079 (2025)."},{"key":"e_1_3_2_1_39_1","first-page":"17359","article-title":"Locating and editing factual associations in GPT","author":"Kevin Meng","year":"2022","unstructured":"Kevin Meng et al., 2022. Locating and editing factual associations in GPT. In Proc. of NeurIPS. 17359-17372.","journal-title":"Proc. of NeurIPS."},{"key":"e_1_3_2_1_40_1","unstructured":"Kevin Meng et al. 2023. Mass-Editing Memory in a Transformer. In ICLR."},{"key":"e_1_3_2_1_41_1","volume-title":"Findings of the WMT 2023 shared task on low-resource Indic language translation. In Proc. of WMT. 682-694","author":"Santanu","unstructured":"Santanu Pal et al., 2023. Findings of the WMT 2023 shared task on low-resource Indic language translation. In Proc. of WMT. 682-694."},{"key":"e_1_3_2_1_42_1","first-page":"311","article-title":"Bleu: a method for automatic evaluation of machine translation","author":"Kishore Papineni","year":"2002","unstructured":"Kishore Papineni et al., 2002. Bleu: a method for automatic evaluation of machine translation. In Proc. of ACL. 311-318.","journal-title":"Proc. of ACL."},{"key":"e_1_3_2_1_43_1","volume-title":"Proc. of NeurIPS.","author":"Guilherme","unstructured":"Guilherme Penedo et al., 2024. The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale. In Proc. of NeurIPS."},{"key":"e_1_3_2_1_44_1","first-page":"7654","author":"Jonas Pfeiffer","year":"2020","unstructured":"Jonas Pfeiffer et al., 2020. MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer. In Proc. of EMNLP. 7654-7673.","journal-title":"MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer. In Proc. of EMNLP."},{"key":"e_1_3_2_1_45_1","first-page":"19","article-title":"SemEval-2016 Task 5","author":"Maria Pontiki","year":"2016","unstructured":"Maria Pontiki et al., 2016. SemEval-2016 Task 5: Aspect Based Sentiment Analysis. In Proc. of SemEval. 19-30.","journal-title":"Aspect Based Sentiment Analysis. In Proc. of SemEval."},{"key":"e_1_3_2_1_46_1","volume-title":"Patterns","volume":"6","author":"Libo","year":"2025","unstructured":"Libo Qin et al., 2025. A survey of multilingual large language models. Patterns, Vol. 6, 1 (2025)."},{"key":"e_1_3_2_1_47_1","unstructured":"Qwen et al. 2024. Qwen2.5 Technical Report. arXiv preprint arXiv:2412.15115 (2024)."},{"key":"e_1_3_2_1_48_1","unstructured":"Alec Radford et al. 2019. Language models are unsupervised multitask learners. OpenAI blog (2019)."},{"key":"e_1_3_2_1_49_1","unstructured":"Jack W Rae et al. 2021. Scaling language models: Methods analysis & insights from training gopher. arXiv preprint arXiv:2112.11446 (2021)."},{"key":"e_1_3_2_1_50_1","first-page":"3845","article-title":"Low-Resource Syntactic Transfer with Unsupervised Source Reordering","author":"Rasooli Mohammad Sadegh","year":"2019","unstructured":"Mohammad Sadegh Rasooli and Michael Collins. 2019. Low-Resource Syntactic Transfer with Unsupervised Source Reordering. In Proc. of NAACL. 3845-3856.","journal-title":"Proc. of NAACL."},{"key":"e_1_3_2_1_51_1","first-page":"578","article-title":"COMET-22: Unbabel-IST 2022 submission for the metrics shared task","author":"Ricardo Rei","year":"2022","unstructured":"Ricardo Rei et al., 2022a. COMET-22: Unbabel-IST 2022 submission for the metrics shared task. In Proc. of WMT. 578-585.","journal-title":"Proc. of WMT."},{"key":"e_1_3_2_1_52_1","first-page":"634","article-title":"CometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared Task","author":"Ricardo Rei","year":"2022","unstructured":"Ricardo Rei et al., 2022b. CometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared Task. In Proc. of WMT. 634-645.","journal-title":"Proc. of WMT."},{"key":"e_1_3_2_1_53_1","volume-title":"TOWER: Bridging Generality and Translation Specialization in Multilingual LLMS. arXiv preprint arXiv:2506.17080","author":"Ricardo Rei","year":"2025","unstructured":"Ricardo Rei et al., 2025. TOWER: Bridging Generality and Translation Specialization in Multilingual LLMS. arXiv preprint arXiv:2506.17080 (2025)."},{"key":"e_1_3_2_1_54_1","unstructured":"Daniel Scholz et al. 2024. Imbalance-aware loss functions improve medical image classification. Medical Imaging with Deep Learning (2024)."},{"key":"e_1_3_2_1_55_1","volume-title":"Findings of the WMT 2023 shared task on machine translation with terminologies. In Proc. of WMT. 663-671","author":"Kirill","unstructured":"Kirill Semenov et al., 2023. Findings of the WMT 2023 shared task on machine translation with terminologies. In Proc. of WMT. 663-671."},{"key":"e_1_3_2_1_56_1","volume-title":"Proc. of COLING.","author":"Barry","unstructured":"Barry Sennrich et al., 2016. Back-translation: A simple and effective method for low-resource machine translation. In Proc. of COLING."},{"key":"e_1_3_2_1_57_1","doi-asserted-by":"crossref","unstructured":"Lingfeng Shen et al. 2024. The language barrier: Dissecting safety challenges of llms in multilingual contexts. arXiv preprint arXiv:2401.13136 (2024).","DOI":"10.18653\/v1\/2024.findings-acl.156"},{"key":"e_1_3_2_1_58_1","volume-title":"Aligned: Scaling Multilingual LLMs with Multi-Way Parallel Corpora. arXiv preprint arXiv:2505.14045","author":"Yingli Shen","year":"2025","unstructured":"Yingli Shen et al., 2025. From Unaligned to Aligned: Scaling Multilingual LLMs with Multi-Way Parallel Corpora. arXiv preprint arXiv:2505.14045 (2025)."},{"key":"e_1_3_2_1_59_1","unstructured":"Chufan Shi et al. 2024. A thorough examination of decoding methods in the era of llms. arXiv preprint arXiv:2402.06925 (2024)."},{"key":"e_1_3_2_1_60_1","first-page":"58","volume-title":"TACL","volume":"12","author":"Oleh","year":"2024","unstructured":"Oleh Shliazhko et al., 2024. mgpt: Few-shot learners go multilingual. TACL, Vol. 12 (2024), 58-79."},{"key":"e_1_3_2_1_61_1","first-page":"11521","author":"Shivalika Singh","year":"2024","unstructured":"Shivalika Singh et al., 2024. Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning. In Proc. of ACL. 11521-11567.","journal-title":"In Proc. of ACL."},{"key":"e_1_3_2_1_62_1","first-page":"464","article-title":"Cyclical learning rates for training neural networks","author":"Smith Leslie N","year":"2017","unstructured":"Leslie N Smith. 2017. Cyclical learning rates for training neural networks. In Proc. of WACV. 464-472.","journal-title":"Proc. of WACV."},{"key":"e_1_3_2_1_63_1","first-page":"197","article-title":"UDPipe 2.0 prototype at CoNLL 2018 UD shared task","author":"Straka Milan","year":"2018","unstructured":"Milan Straka. 2018. UDPipe 2.0 prototype at CoNLL 2018 UD shared task. In Proc. of CoNLL. 197-207.","journal-title":"Proc. of CoNLL."},{"key":"e_1_3_2_1_64_1","doi-asserted-by":"crossref","unstructured":"Taofik O Tafa et al. 2025. Machine Translation Performance for LowResource Languages: A Systematic Literature Review. IEEE Access (2025).","DOI":"10.1109\/ACCESS.2025.3562918"},{"key":"e_1_3_2_1_65_1","unstructured":"Gemma Team et al. 2024. Gemma 2: Improving open language models at a practical size. arXiv preprint arXiv:2408.00118 (2024)."},{"key":"e_1_3_2_1_66_1","first-page":"2214","article-title":"Parallel data, tools and interfaces in OPUS","author":"Tiedemann J\u00f6rg","year":"2012","unstructured":"J\u00f6rg Tiedemann. 2012. Parallel data, tools and interfaces in OPUS. In Proc. of LREC. 2214-2218.","journal-title":"Proc. of LREC."},{"key":"e_1_3_2_1_67_1","unstructured":"Hugo Touvron et al. 2023. Llama 2: Open foundation and fine-tuned chat models. arXiv preprint arXiv:2307.09288 (2023)."},{"key":"e_1_3_2_1_68_1","doi-asserted-by":"crossref","unstructured":"Qing Wang et al. 2025. MultiPL-MoE: Multi-Programming-Lingual Extension of Large Language Models through Hybrid Mixture-of-Experts. arXiv preprint arXiv:2508.19268 (2025).","DOI":"10.18653\/v1\/2025.findings-emnlp.686"},{"key":"e_1_3_2_1_69_1","doi-asserted-by":"publisher","DOI":"10.1145\/3698590"},{"key":"e_1_3_2_1_70_1","first-page":"4003","article-title":"CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data","author":"Guillaume Wenzek","year":"2020","unstructured":"Guillaume Wenzek et al., 2020. CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data. In Proc. of LREC. 4003-4012.","journal-title":"Proc. of LREC."},{"key":"e_1_3_2_1_71_1","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/11810.001.0001"},{"key":"e_1_3_2_1_72_1","volume-title":"Bloom: A 176b-parameter open-access multilingual language model. arXiv preprint arXiv:2211.05100","author":"Workshop BigScience","year":"2022","unstructured":"BigScience Workshop et al., 2022. Bloom: A 176b-parameter open-access multilingual language model. arXiv preprint arXiv:2211.05100 (2022)."},{"key":"e_1_3_2_1_73_1","doi-asserted-by":"crossref","unstructured":"Ziqing Yang et al. 2021. Bilingual alignment pre-training for zero-shot cross-lingual transfer. arXiv preprint arXiv:2106.01732 (2021).","DOI":"10.18653\/v1\/2021.mrqa-1.10"},{"key":"e_1_3_2_1_74_1","volume-title":"Proc. of ACL.","author":"Ben Elad","unstructured":"Elad Ben Zaken et al., 2022. BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models. In Proc. of ACL."},{"key":"e_1_3_2_1_75_1","first-page":"4181","article-title":"NAT4AT","author":"Huanran Zheng","year":"2024","unstructured":"Huanran Zheng et al., 2024. NAT4AT: Using Non-Autoregressive Translation Makes Autoregressive Translation Faster and Better. In Proc. of WWW. 4181-4192.","journal-title":"In Proc. of WWW."},{"key":"e_1_3_2_1_76_1","unstructured":"Shaolin Zhu et al. 2024. Multilingual Large Language Models: A Systematic Survey. arXiv preprint arXiv:2411.11072 (2024)."}],"event":{"name":"WWW '26: The ACM Web Conference 2026","location":"Dubai United Arab Emirates","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"]},"container-title":["Proceedings of the ACM Web Conference 2026"],"original-title":[],"deposited":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T16:31:41Z","timestamp":1775838701000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3774904.3792733"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4,12]]},"references-count":76,"alternative-id":["10.1145\/3774904.3792733","10.1145\/3774904"],"URL":"https:\/\/doi.org\/10.1145\/3774904.3792733","relation":{},"subject":[],"published":{"date-parts":[[2026,4,12]]},"assertion":[{"value":"2026-04-12","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}