{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T00:06:33Z","timestamp":1765497993461,"version":"3.48.0"},"publisher-location":"New York, NY, USA","reference-count":59,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,11,10]]},"DOI":"10.1145\/3746252.3761247","type":"proceedings-article","created":{"date-parts":[[2025,11,7]],"date-time":"2025-11-07T23:55:33Z","timestamp":1762559733000},"page":"2577-2587","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["EmoPerso: Enhancing Personality Detection with Self-Supervised Emotion-Aware Modelling"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6686-0976","authenticated-orcid":false,"given":"Lingzhi","family":"Shen","sequence":"first","affiliation":[{"name":"School of Electronics and Computer Science, University of Southampton, Southampton, United Kingdom"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0924-2834","authenticated-orcid":false,"given":"Xiaohao","family":"Cai","sequence":"additional","affiliation":[{"name":"School of Electronics and Computer Science, University of Southampton, Southampton, United Kingdom"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4407-578X","authenticated-orcid":false,"given":"Yunfei","family":"Long","sequence":"additional","affiliation":[{"name":"School of Electronic Engineering and Computer Science, Queen Mary University of London, London, United Kingdom"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3930-6600","authenticated-orcid":false,"given":"Imran","family":"Razzak","sequence":"additional","affiliation":[{"name":"Department of Computational Biology, Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, United Arab Emirates"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-5946-9076","authenticated-orcid":false,"given":"Guanming","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Electronics and Computer Science, University of Southampton, Southampton, United Kingdom"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7534-3313","authenticated-orcid":false,"given":"Shoaib","family":"Jameel","sequence":"additional","affiliation":[{"name":"School of Electronics and Computer Science, University of Southampton, Southampton, United Kingdom"}]}],"member":"320","published-online":{"date-parts":[[2025,11,10]]},"reference":[{"key":"e_1_3_2_2_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_2_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-023-10401-x"},{"key":"e_1_3_2_2_3_1","volume-title":"The use of GPT-4o and Other Large Language Models for the Improvement and Design of Self-Assessment Scales for Measurement of Interpersonal Communication Skills. arXiv preprint arXiv:2409.14050","author":"Buba\u0161 Goran","year":"2024","unstructured":"Goran Buba\u0161. 2024. The use of GPT-4o and Other Large Language Models for the Improvement and Design of Self-Assessment Scales for Measurement of Interpersonal Communication Skills. arXiv preprint arXiv:2409.14050 (2024)."},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2024.125689"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1093\/jcr\/ucad017"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2024.103952"},{"key":"e_1_3_2_2_7_1","first-page":"324","article-title":"Deterministic generation of indistinguishable photons in a cluster state","volume":"17","author":"Cogan Dan","year":"2023","unstructured":"Dan Cogan, Zu-En Su, Oded Kenneth, and David Gershoni. 2023. Deterministic generation of indistinguishable photons in a cluster state. Nature Photonics, Vol. 17, 4 (2023), 324-329.","journal-title":"Nature Photonics"},{"key":"e_1_3_2_2_8_1","volume-title":"Generalized Kullback-Leibler Divergence Loss. arXiv preprint arXiv:2503.08038","author":"Cui Jiequan","year":"2025","unstructured":"Jiequan Cui, Beier Zhu, Qingshan Xu, Zhuotao Tian, Xiaojuan Qi, Bei Yu, Hanwang Zhang, and Richang Hong. 2025. Generalized Kullback-Leibler Divergence Loss. arXiv preprint arXiv:2503.08038 (2025)."},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1037\/0033-295X.99.3.550"},{"key":"e_1_3_2_2_10_1","unstructured":"Aaron Grattafiori Abhimanyu Dubey Abhinav Jauhri Abhinav Pandey Abhishek Kadian Ahmad Al-Dahle Aiesha Letman Akhil Mathur Alan Schelten Alex Vaughan et al. 2024. The llama 3 herd of models. arXiv preprint arXiv:2407.21783 (2024)."},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2022.102810"},{"key":"e_1_3_2_2_12_1","first-page":"4","volume-title":"Large Language Model Based Text Augmentation Enhanced Personality Detection Model. In Proceedings of the AAAI Conference on Artificial Intelligence","volume":"38","author":"Hu Linmei","year":"2024","unstructured":"Linmei Hu, Hongyu He, Duokang Wang, Ziwang Zhao, Yingxia Shao, and Liqiang Nie. 2024. LLM vs Small Model? Large Language Model Based Text Augmentation Enhanced Personality Detection Model. In Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 38. 18234-18242."},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.3390\/smartcities7050095"},{"key":"e_1_3_2_2_14_1","volume-title":"Partha Malakar, Md Mohsin Kabir, Kamruddin Nur, and Mohammed Firoz Mridha.","author":"Jim Jamin Rahman","year":"2024","unstructured":"Jamin Rahman Jim, Md Apon Riaz Talukder, Partha Malakar, Md Mohsin Kabir, Kamruddin Nur, and Mohammed Firoz Mridha. 2024. Recent advancements and challenges of NLP-based sentiment analysis: A state-of-the-art review. Natural Language Processing Journal (2024), 100059."},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"crossref","unstructured":"Francois Leonardi Patrick Feldman Matthew Almeida William Moretti and Charles Iverson. 2024. Contextual feature drift in large language models: An examination of adaptive retention across sequential inputs. (2024).","DOI":"10.31219\/osf.io\/pu948"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3282631"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2023.114121"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2022.04.049"},{"key":"e_1_3_2_2_19_1","volume-title":"EERPD: Leveraging Emotion and Emotion Regulation for Improving Personality Detection. arXiv preprint arXiv:2406.16079","author":"Li Zheng","year":"2024","unstructured":"Zheng Li, Dawei Zhu, Qilong Ma, Weimin Xiong, and Sujian Li. 2024b. EERPD: Leveraging Emotion and Emotion Regulation for Improving Personality Detection. arXiv preprint arXiv:2406.16079 (2024)."},{"key":"e_1_3_2_2_20_1","unstructured":"Aixin Liu Bei Feng Bing Xue Bingxuan Wang Bochao Wu Chengda Lu Chenggang Zhao Chengqi Deng Chenyu Zhang Chong Ruan et al. 2024a. Deepseek-v3 technical report. arXiv preprint arXiv:2412.19437 (2024)."},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2025.113063"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1080\/09540091.2023.2295820"},{"key":"e_1_3_2_2_23_1","first-page":"401","article-title":"Self-Attention and Transformers: Driving the Evolution of Large Language Models. In 2023 IEEE 6th International Conference on Electronic Information and Communication Technology (ICEICT)","author":"Luo Qing","year":"2023","unstructured":"Qing Luo, Wei Zeng, Manni Chen, Gang Peng, Xiaofeng Yuan, and Qiang Yin. 2023. Self-Attention and Transformers: Driving the Evolution of Large Language Models. In 2023 IEEE 6th International Conference on Electronic Information and Communication Technology (ICEICT). IEEE, 401-405.","journal-title":"IEEE"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.472"},{"key":"e_1_3_2_2_25_1","volume-title":"A cognitive-affective system theory of personality: reconceptualizing situations, dispositions, dynamics, and invariance in personality structure. Psychological review","author":"Mischel Walter","year":"1995","unstructured":"Walter Mischel and Yuichi Shoda. 1995. A cognitive-affective system theory of personality: reconceptualizing situations, dispositions, dynamics, and invariance in personality structure. Psychological review, Vol. 102, 2 (1995), 246."},{"key":"e_1_3_2_2_26_1","volume-title":"Artificial Intelligence and Personality: Large Language Models' Ability to Predict Personality Type. Emerging Media","author":"Murphy Max","year":"2024","unstructured":"Max Murphy. 2024. Artificial Intelligence and Personality: Large Language Models' Ability to Predict Personality Type. Emerging Media (2024), 27523543241257291."},{"key":"e_1_3_2_2_27_1","volume-title":"Gemini 2.0 Experimental, and Claude 3.5 Sonnet.","author":"Nelson Benjamin","year":"2025","unstructured":"Benjamin Nelson, Ari Winbush, Steven Siddals, John Torous, Nick Allen, and Matthew Flathers. 2025. Evaluating the Performance of Large Language Models in Identifying Human Facial Emotions: GPT 4o, Gemini 2.0 Experimental, and Claude 3.5 Sonnet. (2025)."},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cobeha.2020.01.005"},{"key":"e_1_3_2_2_29_1","volume-title":"SURVEY ON PERSONALITY DETECTION USING DEEP LEARNING TECHNIQUES. In 2021 6th International Conference on Communication and Electronics Systems (ICCES). IEEE, 1-8.","author":"Prasanthi J","year":"2021","unstructured":"J Prasanthi and G Anuradha. 2021. SURVEY ON PERSONALITY DETECTION USING DEEP LEARNING TECHNIQUES. In 2021 6th International Conference on Communication and Electronics Systems (ICCES). IEEE, 1-8."},{"key":"e_1_3_2_2_30_1","volume-title":"Personality traits in large language models. arXiv preprint arXiv:2307.00184","author":"Safdari Mustafa","year":"2023","unstructured":"Mustafa Safdari, Greg Serapio-Garc\u00eda, Cl\u00e9ment Crepy, Stephen Fitz, Peter Romero, Luning Sun, Marwa Abdulhai, Aleksandra Faust, and Maja Matari\u0107. 2023. Personality traits in large language models. arXiv preprint arXiv:2307.00184 (2023)."},{"key":"e_1_3_2_2_31_1","first-page":"1","article-title":"Advancing Personality Detection through Word Embedments and Deep Learning: An Examination Using the MBTI Dataset. In 2024 IEEE Recent Advances in Intelligent Computational Systems (RAICS)","author":"Shanmukha Aditya G","year":"2024","unstructured":"Aditya G Shanmukha, RS Shamyuktha, S Karan, Deepa Gupta, and Suja Palaniswamy. 2024. Advancing Personality Detection through Word Embedments and Deep Learning: An Examination Using the MBTI Dataset. In 2024 IEEE Recent Advances in Intelligent Computational Systems (RAICS). IEEE, 1-6.","journal-title":"IEEE"},{"key":"e_1_3_2_2_32_1","volume-title":"Less but Better: Parameter-Efficient Fine-Tuning of Large Language Models for Personality Detection. arXiv preprint arXiv:2504.05411","author":"Shen Lingzhi","year":"2025","unstructured":"Lingzhi Shen, Yunfei Long, Xiaohao Cai, Guanming Chen, Imran Razzak, and Shoaib Jameel. 2025a. Less but Better: Parameter-Efficient Fine-Tuning of Large Language Models for Personality Detection. arXiv preprint arXiv:2504.05411 (2025)."},{"key":"e_1_3_2_2_33_1","volume-title":"Ll4g: Self-supervised dynamic optimization for graph-based personality detection. arXiv preprint arXiv:2504.02146","author":"Shen Lingzhi","year":"2025","unstructured":"Lingzhi Shen, Yunfei Long, Xiaohao Cai, Guanming Chen, Yuhan Wang, Imran Razzak, and Shoaib Jameel. 2025b. Ll4g: Self-supervised dynamic optimization for graph-based personality detection. arXiv preprint arXiv:2504.02146 (2025)."},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3701551.3703541"},{"key":"e_1_3_2_2_35_1","volume-title":"Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models. arXiv preprint arXiv:2504.12898","author":"Sun Zhouhao","year":"2025","unstructured":"Zhouhao Sun, Xiao Ding, Li Du, Yunpeng Xu, Yixuan Ma, Yang Zhao, Bing Qin, and Ting Liu. 2025. Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models. arXiv preprint arXiv:2504.12898 (2025)."},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.paid.2023.112421"},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1108\/INTR-04-2021-0268"},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1007\/s42113-024-00217-5"},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.3390\/rs14174244"},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2023.102016"},{"volume-title":"Proceedings of the 2023 ACM International Conference on Multimedia Retrieval. 243-252","author":"Wang Y.","key":"e_1_3_2_2_41_1","unstructured":"Y. Wang, D. Li, K. Funakoshi, and M. Okumura. 2023. Emp: Emotion-guided multi-modal fusion and contrastive learning for personality traits recognition. In Proceedings of the 2023 ACM International Conference on Multimedia Retrieval. 243-252."},{"key":"e_1_3_2_2_42_1","volume-title":"Denny Zhou, et al.","author":"Wei Jason","year":"2022","unstructured":"Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al., 2022. Chain-of-thought prompting elicits reasoning in large language models. Advances in neural information processing systems, Vol. 35 (2022), 24824-24837."},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.1109\/IDCIoT56793.2023.10053501"},{"key":"e_1_3_2_2_44_1","volume-title":"Lidia Sam Chao, and Derek Fai Wong","author":"Wu Junchao","year":"2025","unstructured":"Junchao Wu, Shu Yang, Runzhe Zhan, Yulin Yuan, Lidia Sam Chao, and Derek Fai Wong. 2025a. A survey on LLM-generated text detection: Necessity, methods, and future directions. Computational Linguistics (2025), 1-66."},{"key":"e_1_3_2_2_45_1","volume-title":"Interpreting and steering llms with mutual information-based explanations on sparse autoencoders. arXiv preprint arXiv:2502.15576","author":"Wu Xuansheng","year":"2025","unstructured":"Xuansheng Wu, Jiayi Yuan, Wenlin Yao, Xiaoming Zhai, and Ninghao Liu. 2025b. Interpreting and steering llms with mutual information-based explanations on sparse autoencoders. arXiv preprint arXiv:2502.15576 (2025)."},{"key":"e_1_3_2_2_46_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-018-1212-4"},{"key":"e_1_3_2_2_47_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i16.17673"},{"key":"e_1_3_2_2_48_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.findings-emnlp.98"},{"key":"e_1_3_2_2_49_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i11.26627"},{"key":"e_1_3_2_2_50_1","volume-title":"PsyCoT: psychological questionnaire as powerful chain-of-thought for personality detection. arXiv preprint arXiv:2310.20256","author":"Yang Tao","year":"2023","unstructured":"Tao Yang, Tianyuan Shi, Fanqi Wan, Xiaojun Quan, Qifan Wang, Bingzhe Wu, and Jiaxiang Wu. 2023b. PsyCoT: psychological questionnaire as powerful chain-of-thought for personality detection. arXiv preprint arXiv:2310.20256 (2023)."},{"key":"e_1_3_2_2_51_1","volume-title":"Psycholinguistic tripartite graph network for personality detection. arXiv preprint arXiv:2106.04963","author":"Yang Tao","year":"2021","unstructured":"Tao Yang, Feifan Yang, Haolan Ouyang, and Xiaojun Quan. 2021b. Psycholinguistic tripartite graph network for personality detection. arXiv preprint arXiv:2106.04963 (2021)."},{"key":"e_1_3_2_2_52_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0296484"},{"key":"e_1_3_2_2_53_1","volume-title":"Proc. the 36th International Conference on Neural Information Processing Systems","volume":"1126","author":"Zelikman Eric","year":"2024","unstructured":"Eric Zelikman, YH Wu, Jesse Mu, and Noah D Goodman. 2024. STaR: Self-taught reasoner bootstrapping reasoning with reasoning. In Proc. the 36th International Conference on Neural Information Processing Systems, Vol. 1126."},{"key":"e_1_3_2_2_54_1","volume-title":"Enhancing Textual Personality Detection toward Social Media: Integrating Long-term and Short-term Perspectives. arXiv preprint arXiv:2404.15067","author":"Zhu Haohao","year":"2024","unstructured":"Haohao Zhu, Xiaokun Zhang, Junyu Lu, Youlin Wu, Zewen Bai, Changrong Min, Liang Yang, Bo Xu, Dongyu Zhang, and Hongfei Lin. 2024a. Enhancing Textual Personality Detection toward Social Media: Integrating Long-term and Short-term Perspectives. arXiv preprint arXiv:2404.15067 (2024)."},{"key":"e_1_3_2_2_55_1","volume-title":"CCF International Conference on Natural Language Processing and Chinese Computing. Springer, 359-371","author":"Zhu Haohao","year":"2024","unstructured":"Haohao Zhu, Xiaokun Zhang, Junyu Lu, Liang Yang, and Hongfei Lin. 2024b. Integrating multi-view analysis: Multi-view mixture-of-expert for textual personality detection. In CCF International Conference on Natural Language Processing and Chinese Computing. Springer, 359-371."},{"key":"e_1_3_2_2_56_1","volume-title":"Investigating Large Language Models in Inferring Personality Traits from User Conversations. arXiv preprint arXiv:2501.07532","author":"Zhu Jianfeng","year":"2025","unstructured":"Jianfeng Zhu, Ruoming Jin, and Karin G Coifman. 2025. Investigating Large Language Models in Inferring Personality Traits from User Conversations. arXiv preprint arXiv:2501.07532 (2025)."},{"key":"e_1_3_2_2_57_1","first-page":"4559","article-title":"Contrastive Graph Transformer Network for Personality Detection","author":"Zhu Yangfu","year":"2022","unstructured":"Yangfu Zhu, Linmei Hu, Xinkai Ge, Wanrong Peng, and Bin Wu. 2022a. Contrastive Graph Transformer Network for Personality Detection.. In IJCAI. 4559-4565.","journal-title":"IJCAI."},{"key":"e_1_3_2_2_58_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2022.108952"},{"key":"e_1_3_2_2_59_1","volume-title":"Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory. arXiv preprint arXiv:2405.16674","author":"Zubi\u0107 Nikola","year":"2024","unstructured":"Nikola Zubi\u0107, Federico Sold\u00e1, Aurelio Sulser, and Davide Scaramuzza. 2024. Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory. arXiv preprint arXiv:2405.16674 (2024)."}],"event":{"name":"CIKM '25: The 34th ACM International Conference on Information and Knowledge Management","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval","SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"],"location":"Seoul Republic of Korea","acronym":"CIKM '25"},"container-title":["Proceedings of the 34th ACM International Conference on Information and Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3746252.3761247","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T00:01:46Z","timestamp":1765497706000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3746252.3761247"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,10]]},"references-count":59,"alternative-id":["10.1145\/3746252.3761247","10.1145\/3746252"],"URL":"https:\/\/doi.org\/10.1145\/3746252.3761247","relation":{},"subject":[],"published":{"date-parts":[[2025,11,10]]},"assertion":[{"value":"2025-11-10","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}