{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T08:17:41Z","timestamp":1783153061257,"version":"3.54.6"},"publisher-location":"New York, NY, USA","reference-count":41,"publisher":"ACM","funder":[{"name":"the National Natural Science Foundation of China","award":["62102192"],"award-info":[{"award-number":["62102192"]}]},{"name":"the fellowship of China Postdoctoral Science Foundation","award":["2022M710071"],"award-info":[{"award-number":["2022M710071"]}]},{"name":"the Fundamental Research Funds for the Central Universities of China","award":["PA2025IISL0107"],"award-info":[{"award-number":["PA2025IISL0107"]}]},{"name":"the Innovation and Entrepreneurship Program of Jiangsu Province","award":["JSSCBS20210530"],"award-info":[{"award-number":["JSSCBS20210530"]}]},{"name":"the UKRI grant&#x3a; Turing AI Fellowship","award":["EP&#x5c;&#x2f;W002981&#x5c;&#x2f;1"],"award-info":[{"award-number":["EP&#x5c;&#x2f;W002981&#x5c;&#x2f;1"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,4,13]]},"DOI":"10.1145\/3774904.3792436","type":"proceedings-article","created":{"date-parts":[[2026,4,27]],"date-time":"2026-04-27T12:38:33Z","timestamp":1777293513000},"page":"7283-7294","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Towards Multi-Label Text Interpretation with Chain-of-Thought Prompting and Contextualized Knowledge"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9350-3667","authenticated-orcid":false,"given":"Rui","family":"Wang","sequence":"first","affiliation":[{"name":"School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China and Intelligent Interconnected Systems Laboratory of Anhui Province, Hefei University of Technology, Hefei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-4158-8118","authenticated-orcid":false,"given":"Ziang","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4392-3599","authenticated-orcid":false,"given":"Haiping","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China and The State Key Laboratory of Tibetan Intelligence, Nanjing University of Posts and Telecommunications, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1381-2203","authenticated-orcid":false,"given":"Jialin","family":"Yu","sequence":"additional","affiliation":[{"name":"Department of Engineering Science, University of Oxford, Oxford, United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-3720-9083","authenticated-orcid":false,"given":"Yuxiang","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Electronic Engineering and Computer Science, Queen Mary University of London, London, United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1888-7001","authenticated-orcid":false,"given":"Guozi","family":"Sun","sequence":"additional","affiliation":[{"name":"School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,4,12]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.is.2022.102131"},{"key":"e_1_3_2_1_2_1","first-page":"128","volume-title":"Proceedings of the 19th International Conference on Natural Language Processing, ICON 2022","author":"Adhya Suman","year":"2022","unstructured":"Suman Adhya, Avishek Lahiri, Debarshi Kumar Sanyal, and Partha Pratim Das. 2022. Improving Contextualized Topic Models with Negative Sampling. In Proceedings of the 19th International Conference on Natural Language Processing, ICON 2022, New Delhi, India, December 15-18, 2022. 128-138."},{"key":"e_1_3_2_1_3_1","volume-title":"NIPS 2001","author":"Blei David M.","year":"2001","unstructured":"David M. Blei, Andrew Y. Ng, and Michael I. Jordan. 2001. Latent Dirichlet Allocation. In Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, NIPS 2001, December 3-8, 2001, Vancouver, British Columbia, Canada]. 601-608."},{"key":"e_1_3_2_1_4_1","volume-title":"A new rank correlation measure. Statistical papers","author":"Borroni Claudio Giovanni","year":"2013","unstructured":"Claudio Giovanni Borroni. 2013. A new rank correlation measure. Statistical papers, Vol. 54 (2013), 255-270."},{"key":"e_1_3_2_1_5_1","volume-title":"Language models are few-shot learners. arXiv preprint arXiv:2005.14165","author":"Brown Tom B","year":"2020","unstructured":"Tom B Brown. 2020. Language models are few-shot learners. arXiv preprint arXiv:2005.14165 (2020)."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-017-5689-6"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3373464.3373474"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1636"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.findings-acl.192"},{"key":"e_1_3_2_1_10_1","article-title":"Scaling Instruction-Finetuned Language Models","volume":"25","author":"Chung Hyung Won","year":"2024","unstructured":"Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Yunxuan Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, Albert Webson, Shixiang Shane Gu, Zhuyun Dai, Mirac Suzgun, Xinyun Chen, Aakanksha Chowdhery, Alex Castro-Ros, Marie Pellat, Kevin Robinson, Dasha Valter, Sharan Narang, Gaurav Mishra, Adams Yu, Vincent Y. Zhao, Yanping Huang, Andrew M. Dai, Hongkun Yu, Slav Petrov, Ed H. Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V. Le, and Jason Wei. 2024. Scaling Instruction-Finetuned Language Models. J. Mach. Learn. Res., Vol. 25 (2024), 70:1-70:53.","journal-title":"J. Mach. Learn. Res."},{"key":"e_1_3_2_1_11_1","volume-title":"Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT","volume":"1","author":"Devlin Jacob","year":"2019","unstructured":"Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2019, Volume 1 (Long and Short Papers). 4171-4186."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.63317\/2s43a2fibaz5"},{"key":"e_1_3_2_1_13_1","volume-title":"BERTopic: Neural topic modeling with a class-based TF-IDF procedure. CoRR","author":"Grootendorst Maarten","year":"2022","unstructured":"Maarten Grootendorst. 2022. BERTopic: Neural topic modeling with a class-based TF-IDF procedure. CoRR, Vol. abs\/2203.05794 (2022)."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.eacl-long.48"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.nlp.2023.100048"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3639478.3643108"},{"key":"e_1_3_2_1_17_1","volume-title":"Spearman's rank-difference coefficient of correlation. Introduction to nonparametric statistics for the Biological Sciences using R","author":"MacFarland Thomas W","year":"2016","unstructured":"Thomas W MacFarland, Jan M Yates, Thomas W MacFarland, and Jan M Yates. 2016. Spearman's rank-difference coefficient of correlation. Introduction to nonparametric statistics for the Biological Sciences using R (2016), 249-297."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512034"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.63317\/2x489fw7wi5m"},{"key":"e_1_3_2_1_20_1","first-page":"1383","volume-title":"Subword Attention and Post-Processing for Rare and Unknown Contextualized Embeddings. In Findings of the Association for Computational Linguistics: NAACL","author":"Patel Raj","year":"2024","unstructured":"Raj Patel and Carlotta Domeniconi. 2024. Subword Attention and Post-Processing for Rare and Unknown Contextualized Embeddings. In Findings of the Association for Computational Linguistics: NAACL 2024. Mexico City, Mexico, 1383-1389."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.findings-emnlp.457"},{"key":"e_1_3_2_1_22_1","unstructured":"Alec Radford Jeffrey Wu Rewon Child David Luan Dario Amodei Ilya Sutskever et al. 2019. Language models are unsupervised multitask learners. OpenAI blog Vol. 1 8 (2019) 9."},{"key":"e_1_3_2_1_23_1","volume-title":"Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, EMNLP 2009. 248-256","author":"Ramage Daniel","unstructured":"Daniel Ramage, David Hall, Ramesh Nallapati, and Christopher D. Manning. 2009. Labeled LDA: A supervised topic model for credit attribution in multi-labeled corpora. In Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, EMNLP 2009. 248-256."},{"key":"e_1_3_2_1_24_1","first-page":"1086","volume-title":"Movie Genre Classification By Exploiting Audio-Visual Features Of Previews. In 16th International Conference on Pattern Recognition, ICPR","author":"Rasheed Zeeshan","year":"2002","unstructured":"Zeeshan Rasheed and Mubarak Shah. 2002. Movie Genre Classification By Exploiting Audio-Visual Features Of Previews. In 16th International Conference on Pattern Recognition, ICPR 2002. 1086-1089."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1410"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/2684822.2685324"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-011-5272-5"},{"key":"e_1_3_2_1_28_1","volume-title":"Sriparna Saha, Vinija Jain, Samrat Mondal, and Aman Chadha.","author":"Sahoo Pranab","year":"2024","unstructured":"Pranab Sahoo, Ayush Kumar Singh, Sriparna Saha, Vinija Jain, Samrat Mondal, and Aman Chadha. 2024. A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications. CoRR, Vol. abs\/2402.07927 (2024)."},{"key":"e_1_3_2_1_29_1","first-page":"9652","volume-title":"Pushing the Limits of Low-Resource NER Using LLM Artificial Data Generation. In Findings of the Association for Computational Linguistics: ACL","author":"Santoso Joan","year":"2024","unstructured":"Joan Santoso, Patrick Sutanto, Billy Cahyadi, and Esther Setiawan. 2024. Pushing the Limits of Low-Resource NER Using LLM Artificial Data Generation. In Findings of the Association for Computational Linguistics: ACL 2024. Bangkok, Thailand, 9652-9667."},{"key":"e_1_3_2_1_30_1","first-page":"2832","volume-title":"Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA","author":"Tempest","year":"2024","unstructured":"Tempest A. van Schaik and Brittany Pugh. 2024. A Field Guide to Automatic Evaluation of LLM-Generated Summaries. In Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024. 2832-2836."},{"key":"e_1_3_2_1_31_1","volume-title":"MIT: Mutual Information Topic Model for Diverse Topic Extraction","author":"Wang Rui","year":"2024","unstructured":"Rui Wang, Deyu Zhou, Haiping Huang, and Yongquan Zhou. 2024. MIT: Mutual Information Topic Model for Diverse Topic Extraction. IEEE Transactions on Neural Networks and Learning Systems (2024)."},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-021-06310-2"},{"key":"e_1_3_2_1_33_1","volume-title":"Chain-of-Thought Prompting Elicits Reasoning in Large Language Models. In Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems","author":"Wei Jason","year":"2022","unstructured":"Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed H. Chi, Quoc V. Le, and Denny Zhou. 2022. Chain-of-Thought Prompting Elicits Reasoning in Large Language Models. In Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022."},{"key":"e_1_3_2_1_34_1","volume-title":"Effective Neural Topic Modeling with Embedding Clustering Regularization. In International Conference on Machine Learning, ICML 2023 (Proceedings of Machine Learning Research). 37335-37357","author":"Wu Xiaobao","year":"2023","unstructured":"Xiaobao Wu, Xinshuai Dong, Thong Thanh Nguyen, and Anh Tuan Luu. 2023. Effective Neural Topic Modeling with Embedding Clustering Regularization. In International Conference on Machine Learning, ICML 2023 (Proceedings of Machine Learning Research). 37335-37357."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-023-10661-7"},{"key":"e_1_3_2_1_36_1","volume-title":"Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024","author":"Wu Xiaobao","year":"2024","unstructured":"Xiaobao Wu, Thong Nguyen, Delvin Zhang, William Yang Wang, and Anh Tuan Luu. 2024b. FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic Model. In Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Amir Globersons, Lester Mackey, Danielle Belgrave, Angela Fan, Ulrich Paquet, Jakub M. Tomczak, and Cheng Zhang (Eds.)."},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.findings-acl.271"},{"key":"e_1_3_2_1_38_1","volume-title":"Tree of Thoughts: Deliberate Problem Solving with Large Language Models. In Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023","author":"Yao Shunyu","year":"2023","unstructured":"Shunyu Yao, Dian Yu, Jeffrey Zhao, Izhak Shafran, Tom Griffiths, Yuan Cao, and Karthik Narasimhan. 2023. Tree of Thoughts: Deliberate Problem Solving with Large Language Models. In Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023."},{"key":"e_1_3_2_1_39_1","volume-title":"A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models. CoRR","author":"Ye Junjie","year":"2023","unstructured":"Junjie Ye, Xuanting Chen, Nuo Xu, Can Zu, Zekai Shao, Shichun Liu, Yuhan Cui, Zeyang Zhou, Chao Gong, Yang Shen, Jie Zhou, Siming Chen, Tao Gui, Qi Zhang, and Xuanjing Huang. 2023. A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models. CoRR, Vol. abs\/2303.10420 (2023)."},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.emnlp-main.858"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.emnlp-main.795"}],"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":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3774904.3792436","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T07:41:40Z","timestamp":1783150900000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3774904.3792436"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4,12]]},"references-count":41,"alternative-id":["10.1145\/3774904.3792436","10.1145\/3774904"],"URL":"https:\/\/doi.org\/10.1145\/3774904.3792436","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"}}]}}