{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,1,21]],"date-time":"2025-01-21T07:10:10Z","timestamp":1737443410558,"version":"3.33.0"},"reference-count":35,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,10,6]],"date-time":"2024-10-06T00:00:00Z","timestamp":1728172800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,10,6]],"date-time":"2024-10-06T00:00:00Z","timestamp":1728172800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100019635","name":"IITP","doi-asserted-by":"publisher","award":["RS-2019-II190079,RS-2022-II220984"],"award-info":[{"award-number":["RS-2019-II190079,RS-2022-II220984"]}],"id":[{"id":"10.13039\/100019635","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,10,6]]},"DOI":"10.1109\/smc54092.2024.10830938","type":"proceedings-article","created":{"date-parts":[[2025,1,20]],"date-time":"2025-01-20T18:39:20Z","timestamp":1737398360000},"page":"1604-1609","source":"Crossref","is-referenced-by-count":0,"title":["CPR: Mitigating Large Language Model Hallucinations with Curative Prompt Refinement"],"prefix":"10.1109","author":[{"given":"Jung-Woo","family":"Shim","sequence":"first","affiliation":[{"name":"Korea University,Department of Artificial Intelligence,Seoul,Korea,02841"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yeong-Joon","family":"Ju","sequence":"additional","affiliation":[{"name":"Korea University,Department of Artificial Intelligence,Seoul,Korea,02841"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ji-Hoon","family":"Park","sequence":"additional","affiliation":[{"name":"Korea University,Department of Artificial Intelligence,Seoul,Korea,02841"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Seong-Whan","family":"Lee","sequence":"additional","affiliation":[{"name":"Korea University,Department of Artificial Intelligence,Seoul,Korea,02841"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-022-28451-0"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3006907"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00614"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2011.08.022"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2015.2395752"},{"key":"ref6","article-title":"Training language models to follow instructions with human feedback","author":"Ouyang","year":"2022","journal-title":"Adv. Neural Inf. Process. Syst. (Ne u rIPS)"},{"key":"ref7","article-title":"GPT-4 technical report","author":"Achiam","year":"2023","journal-title":"arXiv preprint"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00642"},{"key":"ref9","article-title":"A survey of large language models","author":"Zhao","year":"2023","journal-title":"arXiv preprint"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.findings-emnlp.68"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.knowledgenlp-1.4"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.naacl-main.185"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/SMC53992.2023.10394665"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.findings-emnlp.320"},{"key":"ref15","article-title":"How Language Model Hallucinations Can Snowball","author":"Zhang","year":"2023","journal-title":"arXiv preprint"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i16.29771"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.acl-short.54"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i17.29863"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.findings-acl.507"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/SMC53992.2023.10394280"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3366424.3383114"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6258"},{"key":"ref23","article-title":"Wikidata: a free collaborative knowl-edgebase","author":"Vrandecic","year":"2021","journal-title":"Commun. ACM"},{"key":"ref24","article-title":"Llama 2: Open foundation and fine-tuned chat models","author":"Touvron","year":"2023","journal-title":"arXiv preprint"},{"key":"ref25","article-title":"Gemma: Open models based on Gemini research and technology","author":"Team","year":"2024","journal-title":"arXiv preprint"},{"key":"ref26","article-title":"TinyGPT-V: Efficient multi-modal large language model via small backbones","author":"Yuan","year":"2023","journal-title":"arXiv preprint"},{"key":"ref27","article-title":"Finetuned Language Models are Zero-shot Learners","volume-title":"Int. Conf. Learn. Represent. (ICLR)","author":"Wei","year":"2022"},{"key":"ref28","article-title":"LoRA: Low-Rank Adaptation of Large Language Models","volume-title":"Int. Conf. Learn. Represent. (ICLR)","author":"Hu","year":"2022"},{"key":"ref29","article-title":"Control-ling conditional language models without catastrophic forgetting","volume-title":"Int. Conf. Mach. Learn. (ICML)","author":"Korbak","year":"2022"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1091"},{"key":"ref31","article-title":"Judging LLM-as-a-Judge with MT-bench and Chat-bot Arena","author":"Zheng","year":"2024","journal-title":"Adv. Neural Inf. Process. Syst. (NeurIPS)"},{"key":"ref32","article-title":"BLEU: a method for automatic evaluation of machine translation","author":"Papineni","year":"2002","journal-title":"Assoc. Comput. Linguist. (ACL)"},{"key":"ref33","article-title":"Learn to explain: Multimodal reasoning via thought chains for science question answering","author":"Lu","year":"2022","journal-title":"Adv. Neural Inf. Process. Syst. (NeurIPS)"},{"key":"ref34","article-title":"METEOR: An automatic metric for MT evaluation with improved correlation with human judgments","volume-title":"ACL Workshop Intr. Extr. Eval. Meas. for Mach. Transl. Summ","author":"Banerjee","year":"2005"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.emnlp-main.557"}],"event":{"name":"2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","start":{"date-parts":[[2024,10,6]]},"location":"Kuching, Malaysia","end":{"date-parts":[[2024,10,10]]}},"container-title":["2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10830919\/10830920\/10830938.pdf?arnumber=10830938","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,21]],"date-time":"2025-01-21T06:31:17Z","timestamp":1737441077000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10830938\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,6]]},"references-count":35,"URL":"https:\/\/doi.org\/10.1109\/smc54092.2024.10830938","relation":{},"subject":[],"published":{"date-parts":[[2024,10,6]]}}}