{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T18:40:44Z","timestamp":1776883244704,"version":"3.51.2"},"reference-count":49,"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"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,4,6]]},"DOI":"10.1109\/icassp49660.2025.10890206","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":9,"title":["Unleashing Potential of Evidence in Knowledge-Intensive Dialogue Generation"],"prefix":"10.1109","author":[{"given":"Xianjie","family":"Wu","sequence":"first","affiliation":[{"name":"Beihang University,CCSE"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jian","family":"Yang","sequence":"additional","affiliation":[{"name":"Beihang University,CCSE"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tongliang","family":"Li","sequence":"additional","affiliation":[{"name":"Beijing Info Sci & Tech University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shiwei","family":"Zhang","sequence":"additional","affiliation":[{"name":"Baidu Inc"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yiyang","family":"Du","sequence":"additional","affiliation":[{"name":"Beihang University,CCSE"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"LinZheng","family":"Chai","sequence":"additional","affiliation":[{"name":"Beihang University,CCSE"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Di","family":"Liang","sequence":"additional","affiliation":[{"name":"Fudan University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhoujun","family":"Li","sequence":"additional","affiliation":[{"name":"Beihang University,CCSE"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.naacl-main.15"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.naacl-main.202"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-44693-1_2"},{"issue":"03","key":"ref4","first-page":"162","article-title":"Review of pre training technology for natural language processing [j]","volume":"47","author":"Zhoujun","year":"2020","journal-title":"computer science"},{"key":"ref5","article-title":"Raw text is all you need: Knowledge-intensive multi-turn instruction tuning for large language model","author":"Hou","year":"2024"},{"key":"ref6","article-title":"A survey on recent advances in llm-based multi-turn dialogue systems","author":"Yi","year":"2024"},{"key":"ref7","article-title":"When llms meet cunning questions: A fallacy understanding benchmark for large language models","volume":"abs\/2402.11100","author":"Li","year":"2024","journal-title":"CoRR"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.acl-long.469"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2023.3275211"},{"key":"ref10","article-title":"Adaptive ^2: Adaptive domain mining for fine-grained domain adaptation modeling","author":"Sun","year":"2024"},{"key":"ref11","article-title":"Scaling laws for online advertisement retrieval","author":"Wang","year":"2024"},{"key":"ref12","first-page":"77","article-title":"The trec-8 question answering track report","volume":"99","author":"Voorhees","year":"1999","journal-title":"Trec"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1147"},{"key":"ref14","first-page":"25968","article-title":"End-to-end training of multi-document reader and retriever for open-domain question answering","volume-title":"NeurIPS 2021","author":"Sachan"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1171"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.275"},{"key":"ref17","first-page":"9459","article-title":"Retrieval-augmented generation for knowledge-intensive nlp tasks","volume-title":"Advances in Neural Information Processing Systems","volume":"33","author":"Lewis"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6480"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.550"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.eacl-main.74"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.naacl-main.194"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00473"},{"key":"ref23","article-title":"Distilling knowledge from reader to retriever for question answering","volume-title":"ICLR 2021","author":"Izacard"},{"key":"ref24","article-title":"Evaluating and aligning codellms on human preference","author":"Yang","year":"2024"},{"key":"ref25","article-title":"Execrepobench: Multi-level executable code completion evaluation","author":"Yang","year":"2024"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-46664-9_20"},{"key":"ref27","article-title":"Retrieval-augmented generation for large language models: A survey","author":"Gao","year":"2023"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.652"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.acl-long.433"},{"key":"ref30","article-title":"Wizard of wikipedia: Knowledge-powered conversational agents","volume-title":"ICLR 2018","author":"Dinan"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.498"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.naacl-main.200"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.140"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.naacl-main.162"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP49357.2023.10094297"},{"key":"ref36","article-title":"Gpt-4 technical report","year":"2023"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1561\/1500000019"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.emnlp-main.64"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v39i24.34739"},{"key":"ref40","article-title":"Program of thoughts prompting: Disentangling computation from reasoning for numerical reasoning tasks","author":"Chen","year":"2022"},{"key":"ref41","first-page":"24824","article-title":"Chain-of-thought prompting elicits reasoning in large language models","volume-title":"NeurIPS","author":"Wei"},{"key":"ref42","article-title":"Bert: Pre-training of deep bidirectional transformers for language understanding","author":"Devlin","year":"2018"},{"key":"ref43","article-title":"Roberta: A robustly optimized bert pretraining approach","author":"Liu","year":"2019"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.naacl-main.200"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1264"},{"key":"ref46","first-page":"74","article-title":"Rouge: A package for automatic evaluation of summaries","author":"Lin","year":"2004","journal-title":"Text summarization branches out"},{"key":"ref47","article-title":"Approximate nearest neighbor negative contrastive learning for dense text retrieval","volume-title":"ICLR 2021","author":"Xiong"},{"key":"ref48","first-page":"5485","article-title":"Exploring the limits of transfer learning with a unified text-to-text transformer","author":"Raffel","year":"2020","journal-title":"JMLR"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.140"}],"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\/10890206.pdf?arnumber=10890206","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T05:25:48Z","timestamp":1774416348000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10890206\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,6]]},"references-count":49,"URL":"https:\/\/doi.org\/10.1109\/icassp49660.2025.10890206","relation":{},"subject":[],"published":{"date-parts":[[2025,4,6]]}}}