{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,8]],"date-time":"2025-10-08T03:40:28Z","timestamp":1759894828566,"version":"build-2065373602"},"publisher-location":"New York, NY, USA","reference-count":72,"publisher":"ACM","license":[{"start":{"date-parts":[[2025,5,8]],"date-time":"2025-05-08T00:00:00Z","timestamp":1746662400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,5,8]]},"DOI":"10.1145\/3701716.3717556","type":"proceedings-article","created":{"date-parts":[[2025,5,23]],"date-time":"2025-05-23T16:12:56Z","timestamp":1748016776000},"page":"2297-2305","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Seek Inner: LLM-Enhanced Information Mining for Medical Visual Question Answering"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-6793-3349","authenticated-orcid":false,"given":"Ao","family":"Ma","sequence":"first","affiliation":[{"name":"School of Computer Science, The University of Sydney, Sydney, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7554-0536","authenticated-orcid":false,"given":"Zhiyuan","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science, The University of Sydney, Sydney, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4459-0861","authenticated-orcid":false,"given":"Zhuonan","family":"Liang","sequence":"additional","affiliation":[{"name":"School of Computer Science, The University of Sydney, Sydney, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-2302-246X","authenticated-orcid":false,"given":"Tiancheng","family":"Gu","sequence":"additional","affiliation":[{"name":"School of Computer Science, The University of Sydney, Sydney, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4424-9572","authenticated-orcid":false,"given":"Jianan","family":"Fan","sequence":"additional","affiliation":[{"name":"School of Computer Science, The University of Sydney, Sydney, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-0753-5243","authenticated-orcid":false,"given":"Jieting","family":"Long","sequence":"additional","affiliation":[{"name":"School of Computer Science, The University of Sydney, Sydney, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6800-9878","authenticated-orcid":false,"given":"Henning","family":"M\u00fcller","sequence":"additional","affiliation":[{"name":"Institute of Informatics, The University of Applied Sciences Western Switzerland (HES-SO), Sierre, Switzerland, Department of Radiology and Medical Informatics, The University of Geneva, Geneva, Switzerland, and The Sense Innovation and Research Center, Lausanne & Sion, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3706-8896","authenticated-orcid":false,"given":"Weidong","family":"Cai","sequence":"additional","affiliation":[{"name":"School of Computer Science, The University of Sydney, Sydney, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,5,23]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3335216"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.279"},{"key":"e_1_3_2_2_3_1","volume-title":"Proceedings of CLEF (Conference and Labs of the Evaluation Forum) 2019 Working Notes. 9--12","author":"Abacha Asma Ben","year":"2019","unstructured":"Asma Ben Abacha, Sadid A Hasan, Vivek V Datla, Dina Demner-Fushman, and Henning M\u00fcller. 2019. Vqa-med: Overview of the medical visual question answering task at imageclef 2019. In Proceedings of CLEF (Conference and Labs of the Evaluation Forum) 2019 Working Notes. 9--12 September 2019."},{"key":"e_1_3_2_2_4_1","volume-title":"Proceedings of the CLEF 2021 Conference and Labs of the Evaluation Forum-working notes. 21--24","author":"Abacha Asma Ben","year":"2021","unstructured":"Asma Ben Abacha, Mourad Sarrouti, Dina Demner-Fushman, Sadid A Hasan, and Henning M\u00fcller. 2021. Overview of the vqa-med task at imageclef 2021: Visual question answering and generation in the medical domain. In Proceedings of the CLEF 2021 Conference and Labs of the Evaluation Forum-working notes. 21--24 September 2021."},{"key":"e_1_3_2_2_5_1","volume-title":"The unified medical language system (UMLS): integrating biomedical terminology. Nucleic acids research 32, suppl_1","author":"Bodenreider Olivier","year":"2004","unstructured":"Olivier Bodenreider. 2004. The unified medical language system (UMLS): integrating biomedical terminology. Nucleic acids research 32, suppl_1 (2004), D267--D270."},{"key":"e_1_3_2_2_6_1","volume-title":"Anton van den Hengel, Johan Verjans, Zhibin Liao, Minh-Son To, Yong Xia, Jian Chen, et al.","author":"Chen Qi","year":"2024","unstructured":"Qi Chen, Ruoshan Zhao, SinuoWang, Vu Minh Hieu Phan, Anton van den Hengel, Johan Verjans, Zhibin Liao, Minh-Son To, Yong Xia, Jian Chen, et al. 2024. A survey of medical vision-and-language applications and their techniques. arXiv preprint arXiv:2411.12195 (2024)."},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2023.103018"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3547948"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3548122"},{"key":"e_1_3_2_2_10_1","volume-title":"The voice of the radiologist: enabling patients to speak directly to radiologists. Clinical imaging 61","author":"Cross Nathan M","year":"2020","unstructured":"Nathan M Cross, Joseph Wildenberg, Geraldine Liao, Sean Novak, Thomas Bevilacqua, James Chen, Evan Siegelman, and Tessa S Cook. 2020. The voice of the radiologist: enabling patients to speak directly to radiologists. Clinical imaging 61 (2020), 84--89."},{"key":"e_1_3_2_2_11_1","volume-title":"Overview of the Image-CLEF 2013 medical tasks. CLEF (Working Notes) 1179","author":"Seco De Herrera Alba Garcia","year":"2013","unstructured":"Alba Garcia Seco De Herrera, Jayashree Kalpathy-Cramer, Dina Demner-Fushman, Sameer K Antani, and Henning M\u00fcller. 2013. Overview of the Image-CLEF 2013 medical tasks. CLEF (Working Notes) 1179 (2013)."},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.findings-emnlp.292"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.findings-eacl.88"},{"key":"e_1_3_2_2_15_1","volume-title":"International conference on machine learning. PMLR, 1126--1135","author":"Finn Chelsea","year":"2017","unstructured":"Chelsea Finn, Pieter Abbeel, and Sergey Levine. 2017. Model-agnostic metalearning for fast adaptation of deep networks. In International conference on machine learning. PMLR, 1126--1135."},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/WACV57701.2024.00781"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW63382.2024.00502"},{"key":"e_1_3_2_2_18_1","volume-title":"KAT: A Knowledge Augmented Transformer for Vision-and-Language.","author":"Gui Liangke","year":"2022","unstructured":"Liangke Gui, Borui Wang, Qiuyuan Huang, Alexander G Hauptmann, Yonatan Bisk, and Jianfeng Gao. 2022. KAT: A Knowledge Augmented Transformer for Vision-and-Language. (2022), 956--968."},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01046"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2916887"},{"key":"e_1_3_2_2_21_1","volume-title":"Proceedings of CLEF 2018 Working Notes","author":"Hasan Sadid A","year":"2018","unstructured":"Sadid A Hasan, Yuan Ling, Oladimeji Farri, Joey Liu, Henning M\u00fcller, and Matthew Lungren. 2018. Overview of imageclef 2018 medical domain visual question answering task. Proceedings of CLEF 2018 Working Notes (2018)."},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_2_23_1","volume-title":"Pathvqa: 30000 questions for medical visual question answering. arXiv preprint arXiv:2003.10286","author":"He Xuehai","year":"2020","unstructured":"Xuehai He, Yichen Zhang, Luntian Mou, Eric Xing, and Pengtao Xie. 2020. Pathvqa: 30000 questions for medical visual question answering. arXiv preprint arXiv:2003.10286 (2020)."},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599819"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2022.103241"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.3390\/technologies9010002"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI48211.2021.9434063"},{"key":"e_1_3_2_2_29_1","volume-title":"Bilinear attention networks. Advances in neural information processing systems 31","author":"Kim Jin-Hwa","year":"2018","unstructured":"Jin-Hwa Kim, Jaehyun Jun, and Byoung-Tak Zhang. 2018. Bilinear attention networks. Advances in neural information processing systems 31 (2018)."},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3223858"},{"key":"e_1_3_2_2_31_1","volume-title":"Asma Ben Abacha, and Dina Demner-Fushman","author":"Lau Jason J","year":"2018","unstructured":"Jason J Lau, Soumya Gayen, Asma Ben Abacha, and Dina Demner-Fushman. 2018. A dataset of clinically generated visual questions and answers about radiology images. Scientific data 5, 1 (2018), 1--10."},{"key":"e_1_3_2_2_32_1","volume-title":"Llava-med: Training a large language-and-vision assistant for biomedicine in one day. Advances in Neural Information Processing Systems 36","author":"Li Chunyuan","year":"2024","unstructured":"Chunyuan Li, Cliff Wong, Sheng Zhang, Naoto Usuyama, Haotian Liu, Jianwei Yang, Tristan Naumann, Hoifung Poon, and Jianfeng Gao. 2024. Llava-med: Training a large language-and-vision assistant for biomedicine in one day. Advances in Neural Information Processing Systems 36 (2024)."},{"key":"e_1_3_2_2_33_1","volume-title":"2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI). IEEE, 1--5.","author":"Li Pengfei","year":"2023","unstructured":"Pengfei Li, Gang Liu, Lin Tan, Jinying Liao, and Shenjun Zhong. 2023. Selfsupervised vision-language pretraining for medial visual question answering. In 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI). IEEE, 1--5."},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3643795.3648387"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.emnlp-main.114"},{"key":"e_1_3_2_2_36_1","volume-title":"Multimodal Causal Reasoning Benchmark: Challenging Vision Large Language Models to Infer Causal Links Between Siamese Images. arXiv preprint arXiv:2408.08105","author":"Li Zhiyuan","year":"2024","unstructured":"Zhiyuan Li, Heng Wang, Dongnan Liu, Chaoyi Zhang, Ao Ma, Jieting Long, and Weidong Cai. 2024. Multimodal Causal Reasoning Benchmark: Challenging Vision Large Language Models to Infer Causal Links Between Siamese Images. arXiv preprint arXiv:2408.08105 (2024)."},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-43993-3_51"},{"key":"e_1_3_2_2_38_1","first-page":"10560","article-title":"Revive: Regional visual representation matters in knowledge-based visual question answering","volume":"35","author":"Lin Yuanze","year":"2022","unstructured":"Yuanze Lin, Yujia Xie, Dongdong Chen, Yichong Xu, Chenguang Zhu, and Lu Yuan. 2022. Revive: Regional visual representation matters in knowledge-based visual question answering. Advances in Neural Information Processing Systems 35 (2022), 10560--10571.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2023.102611"},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87196-3_20"},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI48211.2021.9434010"},{"key":"e_1_3_2_2_42_1","first-page":"2507","article-title":"Learn to explain: Multimodal reasoning via thought chains for science question answering","volume":"35","author":"Lu Pan","year":"2022","unstructured":"Pan Lu, Swaroop Mishra, Tanglin Xia, Liang Qiu, Kai-Wei Chang, Song-Chun Zhu, Oyvind Tafjord, Peter Clark, and Ashwin Kalyan. 2022. Learn to explain: Multimodal reasoning via thought chains for science question answering. Advances in Neural Information Processing Systems 35 (2022), 2507--2521.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/3657604.3662036"},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00331"},{"key":"e_1_3_2_2_45_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.acra.2015.05.007"},{"key":"e_1_3_2_2_46_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32251-9_57"},{"key":"e_1_3_2_2_47_1","volume-title":"Dean Carignan, and Eric Horvitz.","author":"Nori Harsha","year":"2023","unstructured":"Harsha Nori, Nicholas King, Scott Mayer McKinney, Dean Carignan, and Eric Horvitz. 2023. Capabilities of gpt-4 on medical challenge problems. arXiv preprint arXiv:2303.13375 (2023)."},{"key":"e_1_3_2_2_48_1","doi-asserted-by":"crossref","unstructured":"Obioma Pelka Sven Koitka Johannes R\u00fcckert Felix Nensa and Christoph M Friedrich. 2018. Radiology objects in context (roco): a multimodal image dataset. In Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis: 7th Joint International Workshop CVII-STENT 2018 and Third International Workshop LABELS 2018 Held in Conjunction with MICCAI 2018 Granada Spain September 16 2018 Proceedings 3. Springer 180--189.","DOI":"10.1007\/978-3-030-01364-6_20"},{"key":"e_1_3_2_2_49_1","unstructured":"Yalei Peng Feifan Liu and Max P Rosen. 2018. UMass at ImageCLEF Medical Visual Question Answering (Med-VQA) 2018 Task.. In CLEF (working notes). 1--9."},{"key":"e_1_3_2_2_50_1","volume-title":"International conference on machine learning. PMLR, 8748--8763","author":"Radford Alec","year":"2021","unstructured":"Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al. 2021. Learning transferable visual models from natural language supervision. In International conference on machine learning. PMLR, 8748--8763."},{"key":"e_1_3_2_2_51_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01438"},{"key":"e_1_3_2_2_52_1","volume-title":"Hao Tan, Mohit Bansal, Anna Rohrbach, Kai-Wei Chang, Zhewei Yao, and Kurt Keutz.","author":"Shen Sheng","year":"2022","unstructured":"Sheng Shen, Liunian Harold Li, Hao Tan, Mohit Bansal, Anna Rohrbach, Kai-Wei Chang, Zhewei Yao, and Kurt Keutz. 2022. How Much Can CLIP Benefit Vision-and-Language Tasks?. In ICLR."},{"key":"e_1_3_2_2_53_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.121526"},{"key":"e_1_3_2_2_54_1","volume-title":"3rd International Conference on Learning Representations (ICLR","author":"Simonyan K","year":"2015","unstructured":"K Simonyan and A Zisserman. 2015. Very deep convolutional networks for large-scale image recognition. In 3rd International Conference on Learning Representations (ICLR 2015). Computational and Biological Learning Society."},{"key":"e_1_3_2_2_55_1","volume-title":"Sachin Mehta, Ben Bogin, Madeleine van Zuylen, Sravanthi Parasa, Sameer Singh, Matt Gardner, and Hannaneh Hajishirzi.","author":"Subramanian Sanjay","year":"2020","unstructured":"Sanjay Subramanian, Lucy Lu Wang, Sachin Mehta, Ben Bogin, Madeleine van Zuylen, Sravanthi Parasa, Sameer Singh, Matt Gardner, and Hannaneh Hajishirzi. 2020. Medicat: A dataset of medical images, captions, and textual references. arXiv preprint arXiv:2010.06000 (2020)."},{"key":"e_1_3_2_2_56_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.findings-emnlp.67"},{"key":"e_1_3_2_2_57_1","volume-title":"Attention is all you need. Advances in Neural Information Processing Systems","author":"Vaswani A","year":"2017","unstructured":"A Vaswani. 2017. Attention is all you need. Advances in Neural Information Processing Systems (2017)."},{"key":"e_1_3_2_2_58_1","doi-asserted-by":"publisher","DOI":"10.1017\/S0140525X99582186"},{"key":"e_1_3_2_2_59_1","doi-asserted-by":"publisher","DOI":"10.2196\/54580"},{"key":"e_1_3_2_2_60_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/179"},{"key":"e_1_3_2_2_61_1","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2023.123618"},{"key":"e_1_3_2_2_62_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.101985"},{"key":"e_1_3_2_2_63_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i3.20215"},{"key":"e_1_3_2_2_64_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.10"},{"key":"e_1_3_2_2_65_1","volume-title":"Llm lies: Hallucinations are not bugs, but features as adversarial examples. arXiv preprint arXiv:2310.01469","author":"Yao Jia-Yu","year":"2023","unstructured":"Jia-Yu Yao, Kun-Peng Ning, Zhen-Hui Liu, Mu-Nan Ning, Yu-Yang Liu, and Li Yuan. 2023. Llm lies: Hallucinations are not bugs, but features as adversarial examples. arXiv preprint arXiv:2310.01469 (2023)."},{"key":"e_1_3_2_2_66_1","volume-title":"A survey on large language model (llm) security and privacy: The good, the bad, and the ugly. High-Confidence Computing","author":"Yao Yifan","year":"2024","unstructured":"Yifan Yao, Jinhao Duan, Kaidi Xu, Yuanfang Cai, Zhibo Sun, and Yue Zhang. 2024. A survey on large language model (llm) security and privacy: The good, the bad, and the ugly. High-Confidence Computing (2024), 100211."},{"key":"e_1_3_2_2_67_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.202"},{"key":"e_1_3_2_2_68_1","volume-title":"Uniclam: Contrastive representation learning with adversarial masking for unified and interpretable medical vision question answering. Medical Image Analysis","author":"Zhan Chenlu","year":"2025","unstructured":"Chenlu Zhan, Peng Peng, Hongwei Wang, Gaoang Wang, Yu Lin, Tao Chen, and Hongsen Wang. 2025. Uniclam: Contrastive representation learning with adversarial masking for unified and interpretable medical vision question answering. Medical Image Analysis (2025), 103464."},{"key":"e_1_3_2_2_69_1","doi-asserted-by":"crossref","unstructured":"Ningyu Zhang Shumin Deng Xu Cheng Xi Chen Yichi Zhang Wei Zhang Huajun Chen and Hangzhou Innovation Center. 2021. Drop redundant shrink irrelevant: Selective knowledge injection for language pretraining.. In IJCAI. 4007--4014.","DOI":"10.24963\/ijcai.2021\/552"},{"key":"e_1_3_2_2_70_1","unstructured":"Sheng Zhang Yanbo Xu Naoto Usuyama Hanwen Xu Jaspreet Bagga Robert Tinn Sam Preston Rajesh Rao Mu Wei Naveen Valluri et al. 2023. Biomed-CLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs. arXiv preprint arXiv:2303.00915 (2023)."},{"key":"e_1_3_2_2_71_1","volume-title":"andWeidi Xie","author":"Zhang Xiaoman","year":"2023","unstructured":"Xiaoman Zhang, Chaoyi Wu, Ziheng Zhao, Weixiong Lin, Ya Zhang, Yanfeng Wang, andWeidi Xie. 2023. Pmc-vqa: Visual instruction tuning for medical visual question answering. arXiv preprint arXiv:2305.10415 (2023)."},{"key":"e_1_3_2_2_72_1","volume-title":"Medical visual question answering using joint self-supervised learning. arXiv preprint arXiv:2302.13069","author":"Zhou Yuan","year":"2023","unstructured":"Yuan Zhou, Jing Mei, Yiqin Yu, and Tanveer Syeda-Mahmood. 2023. Medical visual question answering using joint self-supervised learning. arXiv preprint arXiv:2302.13069 (2023)."}],"event":{"name":"WWW '25: The ACM Web Conference 2025","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"],"location":"Sydney NSW Australia","acronym":"WWW '25"},"container-title":["Companion Proceedings of the ACM on Web Conference 2025"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3701716.3717556","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3701716.3717556","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,8]],"date-time":"2025-10-08T03:03:14Z","timestamp":1759892594000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3701716.3717556"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,8]]},"references-count":72,"alternative-id":["10.1145\/3701716.3717556","10.1145\/3701716"],"URL":"https:\/\/doi.org\/10.1145\/3701716.3717556","relation":{},"subject":[],"published":{"date-parts":[[2025,5,8]]},"assertion":[{"value":"2025-05-23","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}