{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T07:32:50Z","timestamp":1763191970947,"version":"3.45.0"},"reference-count":56,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,6,30]]},"DOI":"10.1109\/ijcnn64981.2025.11228879","type":"proceedings-article","created":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T18:46:15Z","timestamp":1763145975000},"page":"1-8","source":"Crossref","is-referenced-by-count":0,"title":["Discourse Features Enhance Detection of Document-Level Machine-Generated Content"],"prefix":"10.1109","author":[{"given":"Yupei","family":"Li","sequence":"first","affiliation":[{"name":"Imperial College London,Department of Computing,London,UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Manuel","family":"Milling","sequence":"additional","affiliation":[{"name":"Technical University of Munich,Chair of Health Informatics,Munich,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lucia","family":"Specia","sequence":"additional","affiliation":[{"name":"Imperial College London,Department of Computing,London,UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bj\u00f6rn W.","family":"Schuller","sequence":"additional","affiliation":[{"name":"Imperial College London &#x0026; Technical University of Munich London, UK,Department of Computing &#x0026; Chair of Health Informatics,Munich,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"year":"2023","key":"ref1","article-title":"Gpt-4 technical report"},{"article-title":"Llama: Open and efficient foundation language models","year":"2023","author":"Touvron","key":"ref2"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3294090"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1958.tb00292.x"},{"key":"ref5","article-title":"Attention is all you need","author":"Vaswani","year":"2017","journal-title":"Advances in Neural Information Processing Systems (NeurIPS)"},{"article-title":"Roberta: A robustly optimized bert pretraining approach","volume-title":"Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","author":"Liu","key":"ref6"},{"article-title":"Challenges in deploying long-context transformers: A theoretical peak performance analysis","year":"2024","author":"Fu","key":"ref7"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-023-45644-9"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.114171"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-3019"},{"article-title":"Dna-gpt: Divergent n-gram analysis for training-free detection of gpt-generated text","year":"2023","author":"Yang","key":"ref11"},{"article-title":"The imitation game: Detecting human and ai-generated texts in the era of large language models","year":"2023","author":"Hayawi","key":"ref12"},{"article-title":"Release strategies and the social impacts of language models","year":"2019","author":"Solaiman","key":"ref13"},{"article-title":"Grover: A state-of-the-art defense against neural fake news","volume-title":"Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI)","author":"Zellers","key":"ref14"},{"article-title":"Detectgpt: Zero-shot machine-generated text detection using probability curvature","year":"2023","author":"Mitchell","key":"ref15"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i16.29756"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3576915.3623189"},{"key":"ref18","first-page":"15 077","article-title":"Radar: Robust ai-text detection via adversarial learning","volume":"36","author":"Hu","year":"2023","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.37074\/jalt.2023.6.2.12"},{"article-title":"Language models are few-shot learners","year":"2020","author":"Brown","key":"ref20"},{"article-title":"Gpt-sentinel: Distinguishing human and chatgpt generated content","year":"2023","author":"Chen","key":"ref21"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N19-1423"},{"issue":"140","key":"ref23","first-page":"1","article-title":"Exploring the limits of transfer learning with a unified text-to-text transformer","volume-title":"Journal of Machine Learning Research","volume":"21","author":"Raffel","year":"2020"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.eacl-long.83"},{"article-title":"Deberta: Decoding-enhanced bert with disentangled attention","year":"2020","author":"He","key":"ref25"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1609\/icwsm.v18i1.31333"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-96957-8_34"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-43687-2_68"},{"key":"ref29","doi-asserted-by":"crossref","DOI":"10.18653\/v1\/2021.acl-long.552","article-title":"Improving paraphrase detection with the adversarial paraphrasing task","author":"Nighojkar","year":"2021"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.3390\/info11050241"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-020-09996-y"},{"key":"ref32","doi-asserted-by":"crossref","DOI":"10.18653\/v1\/2024.findings-acl.423","article-title":"Spotting ai\u2019s touch: Identifying llm-paraphrased spans in text","author":"Li","year":"2024"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-demos.6"},{"article-title":"Chunk, align, select: A simple long-sequence processing method for transformers","year":"2023","author":"Xie","key":"ref34"},{"article-title":"Paraphrasing evades detectors of ai-generated text, but retrieval is an effective defense","year":"2023","author":"Krishna","key":"ref35"},{"key":"ref36","first-page":"5059","article-title":"HIBERT: Document level pre-training of hierarchical bidirectional transformers for document summarization","volume-title":"Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics","author":"Zhang"},{"key":"ref37","doi-asserted-by":"crossref","DOI":"10.18653\/v1\/2020.acl-main.207","article-title":"Specter: Document-level representation learning using citation-informed transformers","author":"Cohan","year":"2020"},{"article-title":"Longformer: The long-document transformer","year":"2020","author":"Beltagy","key":"ref38"},{"key":"ref39","first-page":"1792","article-title":"Globalizing BERT-based transformer architectures for long document summarization","volume-title":"Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume","author":"Grail"},{"key":"ref40","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v38i19.30120","article-title":"Outfox: Llm-generated essay detection through in-context learning with adversarially generated examples","author":"Koike","year":"2024"},{"article-title":"The rhetorical structure theory discourse treebank","volume-title":"Proceedings of the 5th International Conference on Language Resources and Evaluation (LREC 2006)","author":"Carlson","key":"ref41"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-024-0881-2_45"},{"key":"ref43","first-page":"108","article-title":"The penn discourse tree-bank 3.0 annotation manual","volume":"35","author":"Webber","year":"2019","journal-title":"Philadelphia, University of Pennsylvania"},{"key":"ref44","first-page":"5404","article-title":"Implicit discourse relation classification: We need to talk about evaluation","volume-title":"Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics","author":"Kim"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1017\/s1351324912000307"},{"key":"ref46","doi-asserted-by":"crossref","DOI":"10.18653\/v1\/2024.acl-long.327","article-title":"Are ai-generated text detectors robust to adversarial perturbations?","author":"Huang","year":"2024"},{"article-title":"Plagbench: Exploring the duality of large language models in plagiarism generation and detection","year":"2024","author":"Lee","key":"ref47"},{"key":"ref48","first-page":"1369","article-title":"M4: Multi-generator, multi-domain, and multi-lingual black-box machine-generated text detection","volume-title":"Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)","author":"Wang"},{"key":"ref49","first-page":"3558","article-title":"ELI5: Long form question answering","volume-title":"Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics","author":"Fan"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/p18-1082"},{"year":"2022","key":"ref51","article-title":"Bloomz: A 176b parameter multilingual language model for text generation"},{"article-title":"Can ai-generated text be reliably detected?","year":"2024","author":"Sadasivan","key":"ref52"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1177\/10778004231184421"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.findings-emnlp.742"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1145\/3661167.3661218"}],"event":{"name":"2025 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2025,6,30]]},"location":"Rome, Italy","end":{"date-parts":[[2025,7,5]]}},"container-title":["2025 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11227166\/11227148\/11228879.pdf?arnumber=11228879","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T07:28:40Z","timestamp":1763191720000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11228879\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,30]]},"references-count":56,"URL":"https:\/\/doi.org\/10.1109\/ijcnn64981.2025.11228879","relation":{},"subject":[],"published":{"date-parts":[[2025,6,30]]}}}