{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,23]],"date-time":"2025-08-23T00:08:06Z","timestamp":1755907686384,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":21,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,12,8]],"date-time":"2024-12-08T00:00:00Z","timestamp":1733616000000},"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":[[2024,12,8]]},"DOI":"10.1145\/3673791.3698435","type":"proceedings-article","created":{"date-parts":[[2024,12,8]],"date-time":"2024-12-08T06:24:16Z","timestamp":1733639056000},"page":"307-310","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["R\n            <sup>3<\/sup>\n            AG: First Workshop on Refined and Reliable Retrieval Augmented Generation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0493-2668","authenticated-orcid":false,"given":"Zihan","family":"Wang","sequence":"first","affiliation":[{"name":"University of Amsterdam, Amsterdam, Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3925-4951","authenticated-orcid":false,"given":"Xuri","family":"Ge","sequence":"additional","affiliation":[{"name":"University of Glasgow, Glasgow, United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9228-1759","authenticated-orcid":false,"given":"Joemon M.","family":"Jose","sequence":"additional","affiliation":[{"name":"University of Glasgow, Glasgow, United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1569-8507","authenticated-orcid":false,"given":"Haitao","family":"Yu","sequence":"additional","affiliation":[{"name":"University of Tsukuba, Tsukuba, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5604-7527","authenticated-orcid":false,"given":"Weizhi","family":"Ma","sequence":"additional","affiliation":[{"name":"Tsinghua University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9076-6565","authenticated-orcid":false,"given":"Zhaochun","family":"Ren","sequence":"additional","affiliation":[{"name":"Leiden University, Leiden, Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6116-9115","authenticated-orcid":false,"given":"Xin","family":"Xin","sequence":"additional","affiliation":[{"name":"Shandong University, Qingdao, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,12,8]]},"reference":[{"key":"e_1_3_2_1_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_1_2_1","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00667"},{"key":"e_1_3_2_1_3_1","unstructured":"Jean-Baptiste Alayrac Jeff Donahue Pauline Luc Antoine Miech Iain Barr Yana Hasson Karel Lenc Arthur Mensch Katherine Millican Malcolm Reynolds Roman Ring Eliza Rutherford Serkan Cabi Tengda Han Zhitao Gong Sina Samangooei Marianne Monteiro Jacob L. Menick Sebastian Borgeaud Andy Brock Aida Nematzadeh Sahand Sharifzadeh Mikolaj Binkowski Ricardo Barreira Oriol Vinyals Andrew Zisserman and Kar\u00e9n Simonyan. 2022. Flamingo: a Visual Language Model for Few-Shot Learning. In NeurIPS."},{"key":"e_1_3_2_1_4_1","volume-title":"Applying generative AI with retrieval augmented generation to summarize and extract key clinical information from electronic health records. Journal of Biomedical Informatics","author":"Alkhalaf Mohammad","year":"2024","unstructured":"Mohammad Alkhalaf, Ping Yu, Mengyang Yin, and Chao Deng. 2024. Applying generative AI with retrieval augmented generation to summarize and extract key clinical information from electronic health records. Journal of Biomedical Informatics (2024), 104662."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"crossref","unstructured":"Jinheon Baek Soyeong Jeong Minki Kang Jong C. Park and Sung Ju Hwang. 2023. Knowledge-Augmented Language Model Verification. In EMNLP. 1720--1736.","DOI":"10.18653\/v1\/2023.emnlp-main.107"},{"key":"e_1_3_2_1_6_1","volume-title":"Influence of external information on large language models mirrors social cognitive patterns. arXiv preprint arXiv:2305.04812","author":"Bian Ning","year":"2023","unstructured":"Ning Bian, Hongyu Lin, Peilin Liu, Yaojie Lu, Chunkang Zhang, Ben He, Xianpei Han, and Le Sun. 2023. Influence of external information on large language models mirrors social cognitive patterns. arXiv preprint arXiv:2305.04812 (2023)."},{"key":"e_1_3_2_1_7_1","volume-title":"Jean-Baptiste Lespiau, Bogdan Damoc, Aidan Clark, et al.","author":"Borgeaud Sebastian","year":"2022","unstructured":"Sebastian Borgeaud, Arthur Mensch, Jordan Hoffmann, Trevor Cai, Eliza Rutherford, Katie Millican, George Bm Van Den Driessche, Jean-Baptiste Lespiau, Bogdan Damoc, Aidan Clark, et al. 2022. Improving language models by retrieving from trillions of tokens. In ICML. 2206--2240."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i16.29728"},{"key":"e_1_3_2_1_9_1","volume-title":"The power of noise: Redefining retrieval for rag systems. arXiv preprint arXiv:2401.14887","author":"Cuconasu Florin","year":"2024","unstructured":"Florin Cuconasu, Giovanni Trappolini, Federico Siciliano, Simone Filice, Cesare Campagnano, Yoelle Maarek, Nicola Tonellotto, and Fabrizio Silvestri. 2024. The power of noise: Redefining retrieval for rag systems. arXiv preprint arXiv:2401.14887 (2024)."},{"key":"e_1_3_2_1_10_1","volume-title":"Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805","author":"Devlin Jacob","year":"2018","unstructured":"Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)."},{"key":"e_1_3_2_1_11_1","volume-title":"From local to global: A graph rag approach to query-focused summarization. arXiv preprint arXiv:2404.16130","author":"Edge Darren","year":"2024","unstructured":"Darren Edge, Ha Trinh, Newman Cheng, Joshua Bradley, Alex Chao, Apurva Mody, Steven Truitt, and Jonathan Larson. 2024. From local to global: A graph rag approach to query-focused summarization. arXiv preprint arXiv:2404.16130 (2024)."},{"key":"e_1_3_2_1_12_1","volume-title":"Retrieval-Augmented Generation-based Relation Extraction. arXiv preprint arXiv:2404.13397","author":"Efeoglu Sefika","year":"2024","unstructured":"Sefika Efeoglu and Adrian Paschke. 2024. Retrieval-Augmented Generation-based Relation Extraction. arXiv preprint arXiv:2404.13397 (2024)."},{"key":"e_1_3_2_1_13_1","unstructured":"Lei Huang Weijiang Yu Weitao Ma Weihong Zhong Zhangyin Feng Haotian Wang Qianglong Chen Weihua Peng Xiaocheng Feng Bing Qin et al. 2023. A survey on hallucination in large language models: Principles taxonomy challenges and open questions. arXiv preprint arXiv:2311.05232 (2023)."},{"key":"e_1_3_2_1_14_1","unstructured":"Patrick S. H. 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. 2020. Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. In NeurIPS."},{"key":"e_1_3_2_1_15_1","volume-title":"Enhancing llm factual accuracy with rag to counter hallucinations: A case study on domain-specific queries in private knowledge-bases. arXiv preprint arXiv:2403.10446","author":"Li Jiarui","year":"2024","unstructured":"Jiarui Li, Ye Yuan, and Zehua Zhang. 2024. Enhancing llm factual accuracy with rag to counter hallucinations: A case study on domain-specific queries in private knowledge-bases. arXiv preprint arXiv:2403.10446 (2024)."},{"key":"e_1_3_2_1_16_1","volume-title":"RaFe: Ranking Feedback Improves Query Rewriting for RAG. arXiv preprint arXiv:2405.14431","author":"Mao Shengyu","year":"2024","unstructured":"Shengyu Mao, Yong Jiang, Boli Chen, Xiao Li, Peng Wang, Xinyu Wang, Pengjun Xie, Fei Huang, Huajun Chen, and Ningyu Zhang. 2024. RaFe: Ranking Feedback Improves Query Rewriting for RAG. arXiv preprint arXiv:2405.14431 (2024)."},{"key":"e_1_3_2_1_17_1","volume-title":"Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al.","author":"Radford Alec","year":"2021","unstructured":"Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al. 2021. Learning transferable visual models from natural language supervision. In ICML. 8748--8763."},{"key":"e_1_3_2_1_18_1","unstructured":"Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N Gomez \u0141ukasz Kaiser and Illia Polosukhin. 2017. Attention is all you need. In NeurIPS. 5998--6008."},{"key":"e_1_3_2_1_19_1","unstructured":"Yunzhi Yao Peng Wang Bozhong Tian Siyuan Cheng Zhoubo Li Shumin Deng Huajun Chen and Ningyu Zhang. 2023. Editing large language models: Problems methods and opportunities. In EMNLP."},{"key":"e_1_3_2_1_20_1","volume-title":"Making retrieval-augmented language models robust to irrelevant context. arXiv preprint arXiv:2310.01558","author":"Yoran Ori","year":"2023","unstructured":"Ori Yoran, Tomer Wolfson, Ori Ram, and Jonathan Berant. 2023. Making retrieval-augmented language models robust to irrelevant context. arXiv preprint arXiv:2310.01558 (2023)."},{"key":"e_1_3_2_1_21_1","volume-title":"Chain-of-note: Enhancing robustness in retrieval-augmented language models. arXiv preprint arXiv:2311.09210","author":"Yu Wenhao","year":"2023","unstructured":"Wenhao Yu, Hongming Zhang, Xiaoman Pan, Kaixin Ma, Hongwei Wang, and Dong Yu. 2023. Chain-of-note: Enhancing robustness in retrieval-augmented language models. arXiv preprint arXiv:2311.09210 (2023)."}],"event":{"name":"SIGIR-AP 2024: Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"],"location":"Tokyo Japan","acronym":"SIGIR-AP 2024"},"container-title":["Proceedings of the 2024 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\/3673791.3698435","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3673791.3698435","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T16:22:31Z","timestamp":1755879751000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3673791.3698435"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,8]]},"references-count":21,"alternative-id":["10.1145\/3673791.3698435","10.1145\/3673791"],"URL":"https:\/\/doi.org\/10.1145\/3673791.3698435","relation":{},"subject":[],"published":{"date-parts":[[2024,12,8]]},"assertion":[{"value":"2024-12-08","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}