{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T19:43:28Z","timestamp":1730231008308,"version":"3.28.0"},"reference-count":29,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,4,14]],"date-time":"2024-04-14T00:00:00Z","timestamp":1713052800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,4,14]],"date-time":"2024-04-14T00:00:00Z","timestamp":1713052800000},"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":[[2024,4,14]]},"DOI":"10.1109\/icassp48485.2024.10446133","type":"proceedings-article","created":{"date-parts":[[2024,3,18]],"date-time":"2024-03-18T18:56:31Z","timestamp":1710788191000},"page":"11761-11765","source":"Crossref","is-referenced-by-count":0,"title":["A Generative Adversarial Framework for Dialogue Generation with Neural Architecture Search"],"prefix":"10.1109","author":[{"given":"Yi","family":"Huang","sequence":"first","affiliation":[{"name":"China Mobile Research,JIUTIAN Team"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Hu","sequence":"additional","affiliation":[{"name":"China Mobile Research,JIUTIAN Team"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Junlan","family":"Feng","sequence":"additional","affiliation":[{"name":"China Mobile Research,JIUTIAN Team"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"journal-title":"A neural conversational model","year":"2015","author":"Vinyals","key":"ref1"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.66"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1199"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1061"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11325"},{"journal-title":"Neural architecture search with reinforcement learning","year":"2016","author":"Zoph","key":"ref6"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-05318-5_3"},{"journal-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling","year":"2014","author":"Chung","key":"ref8"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref10","article-title":"Deep generative image models using a laplacian pyramid of adversarial networks","volume":"28","author":"Denton","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1230"},{"key":"ref12","first-page":"27730","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":"ref13","first-page":"4095","article-title":"Efficient neural architecture search via parameters sharing","volume-title":"International conference on machine learning","author":"Pham"},{"journal-title":"Darts: Differentiable architecture search","year":"2018","author":"Liu","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1367"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6462"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"journal-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","year":"2015","author":"Radford","key":"ref18"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00813"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10804"},{"key":"ref21","article-title":"Professor forcing: A new algorithm for training recurrent networks","volume":"29","author":"Lamb","year":"2016","journal-title":"Advances in neural information processing systems"},{"journal-title":"Dal: Dual adversarial learning for dialogue generation","year":"2019","author":"Cui","key":"ref22"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1428"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00039"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00077"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/BF00992696"},{"journal-title":"Adam: A method for stochastic optimization","year":"2014","author":"Kingma","key":"ref27"},{"key":"ref28","first-page":"311","article-title":"Bleu: a method for automatic evaluation of machine translation","volume-title":"Proceedings of the 40th annual meeting of the Association for Computational Linguistics","author":"Papineni"},{"journal-title":"Bertscore: Evaluating text generation with bert","year":"2019","author":"Zhang","key":"ref29"}],"event":{"name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","start":{"date-parts":[[2024,4,14]]},"location":"Seoul, Korea, Republic of","end":{"date-parts":[[2024,4,19]]}},"container-title":["ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10445798\/10445803\/10446133.pdf?arnumber=10446133","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,2]],"date-time":"2024-08-02T05:03:47Z","timestamp":1722575027000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10446133\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4,14]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/icassp48485.2024.10446133","relation":{},"subject":[],"published":{"date-parts":[[2024,4,14]]}}}