{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T01:42:37Z","timestamp":1787017357841,"version":"build-2736575974"},"publisher-location":"New York, NY, USA","reference-count":24,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,7,10]],"date-time":"2024-07-10T00:00:00Z","timestamp":1720569600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,7,10]]},"DOI":"10.1145\/3626772.3657899","type":"proceedings-article","created":{"date-parts":[[2024,7,11]],"date-time":"2024-07-11T12:40:05Z","timestamp":1720701605000},"page":"2657-2661","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["Timeline Summarization in the Era of LLMs"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-9120-3937","authenticated-orcid":false,"given":"Daivik","family":"Sojitra","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, Indian Institute of Technology Patna, Patna, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5422-9498","authenticated-orcid":false,"given":"Raghav","family":"Jain","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Indian Institute of Technology Patna, Patna, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5458-9381","authenticated-orcid":false,"given":"Sriparna","family":"Saha","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Indian Institute of Technology Patna, Patna, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7235-0665","authenticated-orcid":false,"given":"Adam","family":"Jatowt","sequence":"additional","affiliation":[{"name":"University of Innsbruck, Innsbruck, Austria"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2843-3110","authenticated-orcid":false,"given":"Manish","family":"Gupta","sequence":"additional","affiliation":[{"name":"Microsoft, Hyderabad, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2024,7,11]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3517221"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/1008992.1009065"},{"key":"e_1_3_2_1_3_1","unstructured":"Hyung Won Chung et al. 2022. Scaling instruction-finetuned language models. (2022). arXiv: 2210.11416 [cs.LG]."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-5405"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.122"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.findings-emnlp.204"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.519"},{"key":"e_1_3_2_1_8_1","unstructured":"Jiachang Liu Dinghan Shen Yizhe Zhang Bill Dolan Lawrence Carin and Weizhu Chen. 2021. What makes good in-context examples for gpt-3? arXiv preprint arXiv:2101.06804."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"crossref","unstructured":"Yang Liu Dan Iter Yichong Xu Shuohang Wang Ruochen Xu and Chenguang Zhu. 2023. G-eval: nlg evaluation using gpt-4 with better human alignment. (2023). arXiv: 2303.16634 [cs.CL].","DOI":"10.18653\/v1\/2023.emnlp-main.153"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/K18-1023"},{"key":"e_1_3_2_1_11_1","unstructured":"OpenAI et al. 2023. Gpt-4 technical report. (2023). arXiv: 2303.08774 [cs.CL]."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/tkde.2024.3352100"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-03"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","unstructured":"Chenhui Shen Liying Cheng Xuan-Phi Nguyen Yang You and Lidong Bing. 2023. Large language models are not yet human-level evaluators for abstractive summarization. (2023). arXiv: 2305.13091 [cs.CL].","DOI":"10.18653\/v1\/2023.findings-emnlp.278"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10579-012-9179-y"},{"key":"e_1_3_2_1_16_1","unstructured":"Hugo Touvron et al. 2023. Llama 2: open foundation and fine-tuned chat models. (2023). arXiv: 2307.09288 [cs.CL]."},{"key":"e_1_3_2_1_17_1","volume-title":"Advances in Information Retrieval","author":"Tran Giang","unstructured":"Giang Tran, Mohammad Alrifai, and Eelco Herder. 2015. Timeline summa- rization from relevant headlines. In Advances in Information Retrieval. Allan Hanbury, Gabriella Kazai, Andreas Rauber, and Norbert Fuhr, (Eds.) Springer International Publishing, Cham, 245--256. isbn: 978-3-319-16354-3."},{"key":"e_1_3_2_1_18_1","volume-title":"SIGIR 2013 Workshop on Time-aware Information Access (TAIA.","author":"Tran Giang Binh","year":"2013","unstructured":"Giang Binh Tran, Tuan A Tran, Nam-Khanh Tran, Mohammad Alrifai, and Nattiya Kanhabua. 2013. Leveraging learning to rank in an optimization framework for timeline summarization. In SIGIR 2013 Workshop on Time-aware Information Access (TAIA."},{"key":"e_1_3_2_1_19_1","unstructured":"Szymon Tworkowski Konrad Staniszewski Miko?aj Pacek Yuhuai Wu Henryk Michalewski and Piotr Mi\u0140o\u7d2f. 2023. Focused transformer: contrastive training for context scaling. (2023). arXiv: 2307.03170 [cs.CL]."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.naacl-mai"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.18653\/V1\/2021.ACL-LONG.32"},{"key":"e_1_3_2_1_22_1","volume-title":"Hashimoto","author":"Zhang Tianyi","year":"2023","unstructured":"Tianyi Zhang, Faisal Ladhak, Esin Durmus, Percy Liang, Kathleen McKeown, and Tatsunori B. Hashimoto. 2023. Benchmarking large language models for news summarization. (2023). arXiv: 2301.13848 [cs.CL]."},{"key":"e_1_3_2_1_23_1","unstructured":"Zhuosheng Zhang Aston Zhang Mu Li and Alex Smola. 2022. Automatic chain of thought prompting in large language models. arXiv preprint arXiv:2210.03493."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401327"}],"event":{"name":"SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval","location":"Washington DC USA","acronym":"SIGIR 2024","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3626772.3657899","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3626772.3657899","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T05:39:53Z","timestamp":1755841193000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3626772.3657899"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,10]]},"references-count":24,"alternative-id":["10.1145\/3626772.3657899","10.1145\/3626772"],"URL":"https:\/\/doi.org\/10.1145\/3626772.3657899","relation":{},"subject":[],"published":{"date-parts":[[2024,7,10]]},"assertion":[{"value":"2024-07-11","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}