{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T17:55:00Z","timestamp":1776880500209,"version":"3.51.2"},"reference-count":32,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,4,6]],"date-time":"2025-04-06T00:00:00Z","timestamp":1743897600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,4,6]],"date-time":"2025-04-06T00:00:00Z","timestamp":1743897600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,4,6]]},"DOI":"10.1109\/icassp49660.2025.10889018","type":"proceedings-article","created":{"date-parts":[[2025,3,12]],"date-time":"2025-03-12T17:15:02Z","timestamp":1741799702000},"page":"1-5","source":"Crossref","is-referenced-by-count":1,"title":["Improving Generated and Retrieved Knowledge Combination Through Zero-shot Generation"],"prefix":"10.1109","author":[{"given":"Xinkai","family":"Du","sequence":"first","affiliation":[{"name":"Dig&amp;AI Tech Sunshine Insurance Group,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Quanjie","family":"Han","sequence":"additional","affiliation":[{"name":"Dig&amp;AI Tech Sunshine Insurance Group,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chao","family":"Lv","sequence":"additional","affiliation":[{"name":"Dig&amp;AI Tech Sunshine Insurance Group,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yan","family":"Liu","sequence":"additional","affiliation":[{"name":"Dig&amp;AI Tech Sunshine Insurance Group,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yalin","family":"Sun","sequence":"additional","affiliation":[{"name":"Dig&amp;AI Tech Sunshine Insurance Group,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hao","family":"Shu","sequence":"additional","affiliation":[{"name":"Tsinghua University,Dept. of Comp. Sci. &amp; Tech.,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongbo","family":"Shan","sequence":"additional","affiliation":[{"name":"Tsinghua University,Dept. of Comp. Sci. &amp; Tech.,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maosong","family":"Sun","sequence":"additional","affiliation":[{"name":"Tsinghua University,Dept. of Comp. Sci. &amp; Tech.,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","first-page":"9459","article-title":"Retrieval-augmented generation for knowledge-intensive nlp tasks","volume":"33","author":"Lewis","year":"2020","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.550"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.eacl-main.74"},{"key":"ref4","article-title":"Generate rather than retrieve: Large language models are strong context generators","volume-title":"The Eleventh International Conference on Learning Representations","author":"Yu"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.acl-long.99"},{"key":"ref6","first-page":"1877","article-title":"Language models are few-shot learners","volume":"33","author":"Brown","year":"2020","journal-title":"Advances in neural information processing systems"},{"issue":"240","key":"ref7","first-page":"1","article-title":"Palm: Scaling language modeling with pathways","volume":"24","author":"Chowdhery","year":"2023","journal-title":"Journal of Machine Learning Research"},{"key":"ref8","article-title":"Llama: Open and efficient foundation language models","author":"Touvron","year":"2023"},{"key":"ref9","first-page":"25 968","article-title":"End-to-end training of multi-document reader and retriever for open-domain question answering","volume":"34","author":"Singh","year":"2021","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref10","article-title":"Retrieve anything to augment large language models","author":"Zhang","year":"2023"},{"key":"ref11","article-title":"Generate, filter, and fuse: Query expansion via multi-step keyword generation for zero-shot neural rankers","author":"Li","year":"2023"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.acl-long.546"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.emnlp-main.286"},{"key":"ref14","article-title":"Generator-retriever-generator: A novel approach to open-domain question answering","author":"Abdallah","year":"2023"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.naacl-main.162"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.findings-emnlp.422"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3130348.3130368"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.emnlp-main.249"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.findings-emnlp.590"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.134"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.acl-long.337"},{"key":"ref22","article-title":"A comprehensive survey of hallucination mitigation techniques in large language models","author":"Tonmoy","year":"2024"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2023.3264735"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP48485.2024.10447036"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1002\/nav.3800020109"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1147"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00276"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D13-1160"},{"key":"ref29","first-page":"27 730","article-title":"Training language models to follow instructions with human feedback","volume":"35","author":"Ouyang","year":"2022","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/d16-1264"},{"issue":"1","key":"ref31","first-page":"5485","article-title":"Exploring the limits of transfer learning with a unified text-to-text transformer","volume":"21","author":"Raffel","year":"2020","journal-title":"The Journal of Machine Learning Research"},{"key":"ref32","article-title":"Multitask prompted training enables zero-shot task generalization","volume-title":"International Conference on Learning Representations","author":"Victor"}],"event":{"name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","location":"Hyderabad, India","start":{"date-parts":[[2025,4,6]]},"end":{"date-parts":[[2025,4,11]]}},"container-title":["ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10887540\/10887541\/10889018.pdf?arnumber=10889018","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T05:24:54Z","timestamp":1774416294000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10889018\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,6]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/icassp49660.2025.10889018","relation":{},"subject":[],"published":{"date-parts":[[2025,4,6]]}}}