{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,22]],"date-time":"2026-07-22T03:38:07Z","timestamp":1784691487456,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":42,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,11,26]],"date-time":"2023-11-26T00:00:00Z","timestamp":1700956800000},"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":[[2023,11,26]]},"DOI":"10.1145\/3624918.3625336","type":"proceedings-article","created":{"date-parts":[[2023,11,23]],"date-time":"2023-11-23T08:49:17Z","timestamp":1700729357000},"page":"11-20","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":38,"title":["Retrieving Supporting Evidence for Generative Question Answering"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-8043-0903","authenticated-orcid":false,"given":"Siqing","family":"Huo","sequence":"first","affiliation":[{"name":"Computer Science, University of Waterloo, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4411-7089","authenticated-orcid":false,"given":"Negar","family":"Arabzadeh","sequence":"additional","affiliation":[{"name":"Computer Science, University of Waterloo, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8178-9194","authenticated-orcid":false,"given":"Charles","family":"Clarke","sequence":"additional","affiliation":[{"name":"Computer Science, University of Waterloo, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2023,11,26]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-24752-4_10"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2019.05.009"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"crossref","unstructured":"Yejin Bang Samuel Cahyawijaya Nayeon Lee Wenliang Dai Dan Su Bryan Wilie Holy Lovenia Ziwei Ji Tiezheng Yu Willy Chung Quyet\u00a0V. Do Yan Xu and Pascale Fung. 2023. A Multitask Multilingual Multimodal Evaluation of ChatGPT on Reasoning Hallucination and Interactivity. arxiv:2302.04023\u00a0[cs.CL]","DOI":"10.18653\/v1\/2023.ijcnlp-main.45"},{"key":"e_1_3_2_1_4_1","volume-title":"Knowledge-based approaches to query expansion in information retrieval","author":"Bodner C","unstructured":"Richard\u00a0C Bodner and Fei Song. 1996. Knowledge-based approaches to query expansion in information retrieval. University of Guelph."},{"key":"e_1_3_2_1_5_1","unstructured":"Bernd Bohnet Vinh\u00a0Q. Tran Pat Verga Roee Aharoni Daniel Andor Livio\u00a0Baldini Soares Massimiliano Ciaramita Jacob Eisenstein Kuzman Ganchev Jonathan Herzig Kai Hui Tom Kwiatkowski Ji Ma Jianmo Ni Lierni\u00a0Sestorain Saralegui Tal Schuster William\u00a0W. Cohen Michael Collins Dipanjan Das Donald Metzler Slav Petrov and Kellie Webster. 2023. Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models. arxiv:2212.08037\u00a0[cs.CL]"},{"key":"e_1_3_2_1_6_1","unstructured":"Tom\u00a0B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell Sandhini Agarwal Ariel Herbert-Voss Gretchen Krueger Tom Henighan Rewon Child Aditya Ramesh Daniel\u00a0M. Ziegler Jeffrey Wu Clemens Winter Christopher Hesse Mark Chen Eric Sigler Mateusz Litwin Scott Gray Benjamin Chess Jack Clark Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever and Dario Amodei. 2020. Language Models are Few-Shot Learners. arxiv:2005.14165\u00a0[cs.CL]"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/2071389.2071390"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.emnlp-main.229"},{"key":"e_1_3_2_1_9_1","volume-title":"On the use of BERT for neural machine translation. arXiv preprint arXiv:1909.12744","author":"Clinchant Stephane","year":"2019","unstructured":"Stephane Clinchant, Kweon\u00a0Woo Jung, and Vassilina Nikoulina. 2019. On the use of BERT for neural machine translation. arXiv preprint arXiv:1909.12744 (2019)."},{"key":"e_1_3_2_1_10_1","unstructured":"Souvik Das Sougata Saha and Rohini\u00a0K. Srihari. 2023. Diving Deep into Modes of Fact Hallucinations in Dialogue Systems. arxiv:2301.04449\u00a0[cs.CL]"},{"key":"e_1_3_2_1_11_1","volume-title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. arxiv:1810.04805\u00a0[cs.CL]","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. arxiv:1810.04805\u00a0[cs.CL]"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.naacl-main.387"},{"key":"e_1_3_2_1_13_1","unstructured":"Philip Feldman James\u00a0R. Foulds and Shimei Pan. 2023. Trapping LLM Hallucinations Using Tagged Context Prompts. arxiv:2306.06085\u00a0[cs.CL]"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11023-020-09548-1"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"crossref","unstructured":"Thibault Formal Carlos Lassance Benjamin Piwowarski and St\u00e9phane Clinchant. 2021. SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval. arxiv:2109.10086\u00a0[cs.IR]","DOI":"10.1145\/3404835.3463098"},{"key":"e_1_3_2_1_16_1","volume-title":"RARR: Researching and Revising What Language Models Say, Using Language Models. arxiv:2210.08726\u00a0[cs.CL]","author":"Gao Luyu","year":"2023","unstructured":"Luyu Gao, Zhuyun Dai, Panupong Pasupat, Anthony Chen, Arun\u00a0Tejasvi Chaganty, Yicheng Fan, Vincent\u00a0Y. Zhao, Ni Lao, Hongrae Lee, Da-Cheng Juan, and Kelvin Guu. 2023. RARR: Researching and Revising What Language Models Say, Using Language Models. arxiv:2210.08726\u00a0[cs.CL]"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3571730"},{"key":"e_1_3_2_1_18_1","volume-title":"Dense passage retrieval for open-domain question answering. arXiv preprint arXiv:2004.04906","author":"Karpukhin Vladimir","year":"2020","unstructured":"Vladimir Karpukhin, Barlas O\u011fuz, Sewon Min, Patrick Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, and Wen-tau Yih. 2020. Dense passage retrieval for open-domain question answering. arXiv preprint arXiv:2004.04906 (2020)."},{"key":"e_1_3_2_1_19_1","volume-title":"BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension. arxiv:1910.13461\u00a0[cs.CL]","author":"Lewis Mike","year":"2019","unstructured":"Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Ves Stoyanov, and Luke Zettlemoyer. 2019. BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension. arxiv:1910.13461\u00a0[cs.CL]"},{"key":"e_1_3_2_1_20_1","volume-title":"Tim Rockt\u00e4schel, Sebastian Riedel, and Douwe Kiela.","author":"Lewis Patrick","year":"2021","unstructured":"Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich K\u00fcttler, Mike Lewis, Wen tau Yih, Tim Rockt\u00e4schel, Sebastian Riedel, and Douwe Kiela. 2021. Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. arxiv:2005.11401\u00a0[cs.CL]"},{"key":"e_1_3_2_1_21_1","volume-title":"Pyserini: An Easy-to-Use Python Toolkit to Support Replicable IR Research with Sparse and Dense Representations. CoRR abs\/2102.10073","author":"Lin Jimmy","year":"2021","unstructured":"Jimmy Lin, Xueguang Ma, Sheng-Chieh Lin, Jheng-Hong Yang, Ronak Pradeep, and Rodrigo\u00a0Frassetto Nogueira. 2021. Pyserini: An Easy-to-Use Python Toolkit to Support Replicable IR Research with Sparse and Dense Representations. CoRR abs\/2102.10073 (2021). arXiv:2102.10073https:\/\/arxiv.org\/abs\/2102.10073"},{"key":"e_1_3_2_1_22_1","volume-title":"Fine-tune BERT for extractive summarization. arXiv preprint arXiv:1903.10318","author":"Liu Yang","year":"2019","unstructured":"Yang Liu. 2019. Fine-tune BERT for extractive summarization. arXiv preprint arXiv:1903.10318 (2019)."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.565"},{"key":"e_1_3_2_1_24_1","volume-title":"Leveraging BERT for extractive text summarization on lectures. arXiv preprint arXiv:1906.04165","author":"Miller Derek","year":"2019","unstructured":"Derek Miller. 2019. Leveraging BERT for extractive text summarization on lectures. arXiv preprint arXiv:1906.04165 (2019)."},{"key":"e_1_3_2_1_25_1","volume-title":"Pang\u00a0Wei Koh, Mohit Iyyer, Luke Zettlemoyer, and Hannaneh Hajishirzi.","author":"Min Sewon","year":"2023","unstructured":"Sewon Min, Kalpesh Krishna, Xinxi Lyu, Mike Lewis, Wen tau Yih, Pang\u00a0Wei Koh, Mohit Iyyer, Luke Zettlemoyer, and Hannaneh Hajishirzi. 2023. FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation. arxiv:2305.14251\u00a0[cs.CL]"},{"key":"e_1_3_2_1_26_1","volume-title":"MS MARCO: A human generated machine reading comprehension dataset. choice 2640","author":"Nguyen Tri","year":"2016","unstructured":"Tri Nguyen, Mir Rosenberg, Xia Song, Jianfeng Gao, Saurabh Tiwary, Rangan Majumder, and Li Deng. 2016. MS MARCO: A human generated machine reading comprehension dataset. choice 2640 (2016), 660."},{"key":"e_1_3_2_1_27_1","unstructured":"Ronak Pradeep Rodrigo Nogueira and Jimmy Lin. 2021. The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models. arxiv:2101.05667\u00a0[cs.IR]"},{"key":"e_1_3_2_1_28_1","unstructured":"Alec Radford Karthik Narasimhan Tim Salimans and Ilya Sutskever. 2018. Improving language understanding by generative pre-training. (2018)."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"crossref","unstructured":"Hannah Rashkin Vitaly Nikolaev Matthew Lamm Lora Aroyo Michael Collins Dipanjan Das Slav Petrov Gaurav\u00a0Singh Tomar Iulia Turc and David Reitter. 2022. Measuring Attribution in Natural Language Generation Models. arxiv:2112.12870\u00a0[cs.CL]","DOI":"10.1162\/coli_a_00490"},{"key":"e_1_3_2_1_30_1","volume-title":"Overview of the Third Text REtrieval Conference (TREC-3) (overview of the third text retrieval conference (trec\u20133) ed.). Gaithersburg, MD: NIST, 109\u2013126","author":"Robertson Stephen","unstructured":"Stephen Robertson, S. Walker, S. Jones, M.\u00a0M. Hancock-Beaulieu, and M. Gatford. 1995. Okapi at TREC-3. In Overview of the Third Text REtrieval Conference (TREC-3) (overview of the third text retrieval conference (trec\u20133) ed.). Gaithersburg, MD: NIST, 109\u2013126. https:\/\/www.microsoft.com\/en-us\/research\/publication\/okapi-at-trec-3\/"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2012.2189916"},{"key":"e_1_3_2_1_32_1","unstructured":"Nandan Thakur Nils Reimers Andreas R\u00fcckl\u00e9 Abhishek Srivastava and Iryna Gurevych. 2021. BEIR: A Heterogeneous Benchmark for Zero-shot Evaluation of Information Retrieval Models. In Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 2). https:\/\/openreview.net\/forum?id=wCu6T5xFjeJ"},{"key":"e_1_3_2_1_33_1","volume-title":"CoRR abs\/1706.03762","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan\u00a0N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017. Attention Is All You Need. CoRR abs\/1706.03762 (2017). arXiv:1706.03762http:\/\/arxiv.org\/abs\/1706.03762"},{"key":"e_1_3_2_1_34_1","volume-title":"Multi-passage bert: A globally normalized bert model for open-domain question answering. arXiv preprint arXiv:1908.08167","author":"Wang Zhiguo","year":"2019","unstructured":"Zhiguo Wang, Patrick Ng, Xiaofei Ma, Ramesh Nallapati, and Bing Xiang. 2019. Multi-passage bert: A globally normalized bert model for open-domain question answering. arXiv preprint arXiv:1908.08167 (2019)."},{"key":"e_1_3_2_1_35_1","unstructured":"Jules White Quchen Fu Sam Hays Michael Sandborn Carlos Olea Henry Gilbert Ashraf Elnashar Jesse Spencer-Smith and Douglas\u00a0C. Schmidt. 2023. A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT. arxiv:2302.11382\u00a0[cs.SE]"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-long.175"},{"key":"e_1_3_2_1_37_1","unstructured":"Lee Xiong Chenyan Xiong Ye Li Kwok-Fung Tang Jialin Liu Paul Bennett Junaid Ahmed and Arnold Overwijk. 2020. Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval. arxiv:2007.00808\u00a0[cs.IR]"},{"key":"e_1_3_2_1_38_1","volume-title":"End-to-end open-domain question answering with bertserini. arXiv preprint arXiv:1902.01718","author":"Yang Wei","year":"2019","unstructured":"Wei Yang, Yuqing Xie, Aileen Lin, Xingyu Li, Luchen Tan, Kun Xiong, Ming Li, and Jimmy Lin. 2019. End-to-end open-domain question answering with bertserini. arXiv preprint arXiv:1902.01718 (2019)."},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462856"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"crossref","unstructured":"Xiang Yue Boshi Wang Kai Zhang Ziru Chen Yu Su and Huan Sun. 2023. Automatic Evaluation of Attribution by Large Language Models. arxiv:2305.06311\u00a0[cs.CL]","DOI":"10.18653\/v1\/2023.findings-emnlp.307"},{"key":"e_1_3_2_1_41_1","volume-title":"Incorporating bert into neural machine translation. arXiv preprint arXiv:2002.06823","author":"Zhu Jinhua","year":"2020","unstructured":"Jinhua Zhu, Yingce Xia, Lijun Wu, Di He, Tao Qin, Wengang Zhou, Houqiang Li, and Tie-Yan Liu. 2020. Incorporating bert into neural machine translation. arXiv preprint arXiv:2002.06823 (2020)."},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/1390334.1390524"}],"event":{"name":"SIGIR-AP '23: Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region","location":"Beijing China","acronym":"SIGIR-AP '23","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3624918.3625336","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3624918.3625336","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T21:32:59Z","timestamp":1755898379000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3624918.3625336"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,26]]},"references-count":42,"alternative-id":["10.1145\/3624918.3625336","10.1145\/3624918"],"URL":"https:\/\/doi.org\/10.1145\/3624918.3625336","relation":{},"subject":[],"published":{"date-parts":[[2023,11,26]]},"assertion":[{"value":"2023-11-26","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}