{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,6]],"date-time":"2025-06-06T04:40:02Z","timestamp":1749184802280,"version":"3.41.0"},"reference-count":73,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/tkde.2025.3554819","type":"journal-article","created":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T02:53:00Z","timestamp":1743043980000},"page":"1-14","source":"Crossref","is-referenced-by-count":0,"title":["Decider: A Dual-System Rule-Controllable Decoding Framework for Language Generation"],"prefix":"10.1109","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3495-4238","authenticated-orcid":false,"given":"Chen","family":"Xu","sequence":"first","affiliation":[{"name":"Key Laboratory of Brain Health Intelligent Evaluation and Intervention of Ministry of Education, School of Medical Technology, Bejing Institute of Technology (BIT), China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tian","family":"Lan","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, BIT, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu","family":"Ji","sequence":"additional","affiliation":[{"name":"Key Laboratory of Brain Health Intelligent Evaluation and Intervention of Ministry of Education, School of Medical Technology, Bejing Institute of Technology (BIT), China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Changlong","family":"Yu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Brain Health Intelligent Evaluation and Intervention of Ministry of Education, School of Medical Technology, Bejing Institute of Technology (BIT), China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2908-3060","authenticated-orcid":false,"given":"Wei","family":"Wang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Brain Health Intelligent Evaluation and Intervention of Ministry of Education, School of Medical Technology, Bejing Institute of Technology (BIT), China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Gao","sequence":"additional","affiliation":[{"name":"Key Laboratory of Brain Health Intelligent Evaluation and Intervention of Ministry of Education, School of Medical Technology, Bejing Institute of Technology (BIT), China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0484-3019","authenticated-orcid":false,"given":"Qunxi","family":"Dong","sequence":"additional","affiliation":[{"name":"Key Laboratory of Brain Health Intelligent Evaluation and Intervention of Ministry of Education, School of Medical Technology, Bejing Institute of Technology (BIT), China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1918-6453","authenticated-orcid":false,"given":"Kun","family":"Qian","sequence":"additional","affiliation":[{"name":"Key Laboratory of Brain Health Intelligent Evaluation and Intervention of Ministry of Education, School of Medical Technology, Bejing Institute of Technology (BIT), China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Piji","family":"Li","sequence":"additional","affiliation":[{"name":"Nanjing University of Aeronautics and Astronautics, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Bi","sequence":"additional","affiliation":[{"name":"Key Laboratory of Brain Health Intelligent Evaluation and Intervention of Ministry of Education, School of Medical Technology, Bejing Institute of Technology (BIT), China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3514-5413","authenticated-orcid":false,"given":"Bin","family":"Hu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Brain Health Intelligent Evaluation and Intervention of Ministry of Education, School of Medical Technology, Bejing Institute of Technology (BIT), China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"year":"2019","author":"Keskar","article-title":"CTRL: A conditional transformer language model for controllable generation","key":"ref1"},{"key":"ref2","first-page":"1","article-title":"Plug and play language models: A simple approach to controlled text generation","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Dathathri"},{"doi-asserted-by":"publisher","key":"ref3","DOI":"10.18653\/v1\/2022.findings-acl.229"},{"doi-asserted-by":"publisher","key":"ref4","DOI":"10.18653\/v1\/P17-1059"},{"doi-asserted-by":"publisher","key":"ref5","DOI":"10.1109\/TKDE.2020.2977637"},{"doi-asserted-by":"publisher","key":"ref6","DOI":"10.1609\/aaai.v31i1.10981"},{"doi-asserted-by":"publisher","key":"ref7","DOI":"10.1109\/TKDE.2020.3008563"},{"doi-asserted-by":"publisher","key":"ref8","DOI":"10.1109\/TKDE.2022.3147210"},{"key":"ref9","first-page":"21548","article-title":"A contrastive framework for neural text generation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Su"},{"key":"ref10","article-title":"Language models can see: Plugging visual controls in text generation","author":"Su","year":"2022","journal-title":"arXiv:2205.02655"},{"key":"ref11","first-page":"1823","article-title":"CommonGen: A constrained text generation challenge for generative commonsense reasoning","volume-title":"Proc. Findings Assoc. Comput. Linguistics","author":"Lin"},{"doi-asserted-by":"publisher","key":"ref12","DOI":"10.1109\/TKDE.2023.3275211"},{"doi-asserted-by":"publisher","key":"ref13","DOI":"10.1109\/TKDE.2022.3223858"},{"doi-asserted-by":"publisher","key":"ref14","DOI":"10.18653\/v1\/P18-1205"},{"key":"ref15","first-page":"2014","article-title":"An enhanced knowledge injection model for commonsense generation","volume-title":"Proc. 28th Int. Conf. Comput. Linguistics","author":"Fan"},{"key":"ref16","first-page":"9194","article-title":"Like hiking? You probably enjoy nature: Persona-grounded dialog with commonsense expansions","volume-title":"Proc. Conf. Empirical Methods Natural Lang. Process.","author":"Majumder"},{"key":"ref17","first-page":"16938","article-title":"Neural rule-execution tracking machine for transformer-based text generation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Wang"},{"doi-asserted-by":"publisher","key":"ref18","DOI":"10.1609\/aaai.v35i7.16796"},{"doi-asserted-by":"publisher","key":"ref19","DOI":"10.18653\/v1\/2022.acl-long.471"},{"key":"ref20","first-page":"1417","article-title":"You impress me: Dialogue generation via mutual persona perception","volume-title":"Proc. 58th Annu. Meeting Assoc. Comput. Linguistics","author":"Liu"},{"doi-asserted-by":"publisher","key":"ref21","DOI":"10.1145\/3477495.3531957"},{"key":"ref22","first-page":"1","article-title":"Contextualized scene imagination for generative commonsense reasoning","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Wang"},{"key":"ref23","first-page":"376","article-title":"Bridging the gap between pre-training and fine-tuning for commonsense generation","volume-title":"Proc. Findings Assoc. Comput. Linguistics","author":"Yang"},{"key":"ref24","first-page":"103","article-title":"Mention flags (MF): Constraining transformer-based text generators","volume-title":"Proc. 59th Annu. Meeting Assoc. Comput. Linguistics 11th Int. Joint Confe. Natural Lang. Process.","author":"Wang"},{"key":"ref25","first-page":"936","article-title":"Guided open vocabulary image captioning with constrained beam search","volume-title":"Proc. Conf. Empirical Methods Natural Lang. Process.","author":"Anderson"},{"key":"ref26","first-page":"1535","article-title":"Lexically constrained decoding for sequence generation using grid beam search","volume-title":"Proc. 55th Annu. Meeting Assoc. Comput. Linguistics","author":"Hokamp"},{"key":"ref27","first-page":"1314","article-title":"Fast lexically constrained decoding with dynamic beam allocation for neural machine translation","volume-title":"Proc. Conf. North Amer. Chapter Assoc. Comput. Linguistics: Hum. Lang. Technol.","author":"Post"},{"key":"ref28","first-page":"3973","article-title":"A plug-and-play method for controlled text generation","volume-title":"Proc. Findings Assoc. Comput. Linguistics","author":"Pascual"},{"key":"ref29","first-page":"4288","article-title":"NeuroLogic decoding: (Un)supervised neural text generation with predicate logic constraints","volume-title":"Proc. Conf. North Amer. Chapter Assoc. Comput. Linguistics: Hum. Lang. Technol.","author":"Lu"},{"key":"ref30","first-page":"9538","article-title":"Cold decoding: Energy-based constrained text generation with Langevin dynamics","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Qin"},{"volume-title":"Thinking, Fast and Slow","year":"2017","author":"Daniel","key":"ref31"},{"key":"ref32","first-page":"3291","article-title":"Controlling the focus of pretrained language generation models","volume-title":"Proc. Findings Assoc. Comput. Linguistics","author":"Ji"},{"key":"ref33","first-page":"1261","article-title":"On-the-fly attention modulation for neural generation","volume-title":"Proc. Findings Assoc. Comput. Linguistics","author":"Dong"},{"year":"2015","author":"Bach","article-title":"Hinge-loss markov random fields and probabilistic soft logic","key":"ref34"},{"key":"ref35","first-page":"777","article-title":"Latent topic networks: A versatile probabilistic programming framework for topic models","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Foulds"},{"doi-asserted-by":"publisher","key":"ref36","DOI":"10.1145\/79204.79210"},{"doi-asserted-by":"publisher","key":"ref37","DOI":"10.1609\/aaai.v31i1.11164"},{"doi-asserted-by":"publisher","key":"ref38","DOI":"10.48550\/ARXIV.1706.03762"},{"doi-asserted-by":"publisher","key":"ref39","DOI":"10.1016\/j.metrad.2023.100017"},{"year":"2018","author":"Radford","article-title":"Improving language understanding by generative pre-training","key":"ref40"},{"year":"2019","author":"Radford","article-title":"Language models are unsupervised multitask learners","key":"ref41"},{"key":"ref42","first-page":"270","article-title":"DIALOGPT : Large-scale generative pre-training for conversational response generation","volume-title":"Proc. 58th Annu. Meeting Assoc. Comput. Linguistics: Syst. Demonstrations","author":"Zhang"},{"doi-asserted-by":"publisher","key":"ref43","DOI":"10.18653\/v1\/P18-1082"},{"doi-asserted-by":"publisher","key":"ref44","DOI":"10.18653\/v1\/2020.findings-emnlp.115"},{"doi-asserted-by":"publisher","key":"ref45","DOI":"10.18653\/v1\/2021.findings-acl.107"},{"doi-asserted-by":"publisher","key":"ref46","DOI":"10.3115\/1073083.1073135"},{"key":"ref47","first-page":"74","article-title":"ROUGE: A package for automatic evaluation of summaries","volume-title":"Proc. Workshop Text Summarization Branches Out","author":"Lin"},{"key":"ref48","first-page":"65","article-title":"Meteor: An automatic metric for MT evaluation with improved correlation with human judgments","volume-title":"Proc. acl Workshop Intrinsic Extrinsic Eval. Measures Mach. Transl. And\/Or Summarization","author":"Banerjee"},{"doi-asserted-by":"publisher","key":"ref49","DOI":"10.1109\/CVPR.2015.7299087"},{"doi-asserted-by":"publisher","key":"ref50","DOI":"10.1007\/978-3-319-46454-1_24"},{"year":"2023","author":"Touvron","article-title":"Llama 2: Open foundation and fine-tuned chat models","key":"ref51"},{"year":"2024","author":"Dubey","article-title":"The llama 3 herd of models","key":"ref52"},{"key":"ref53","first-page":"1877","article-title":"Language models are few-shot learners","volume-title":"Proc. 34th Int. Conf. Neural Inf. Process. Syst.","author":"Brown"},{"year":"2023","author":"OpenAI","article-title":"GPT-4 technical report","key":"ref54"},{"doi-asserted-by":"publisher","key":"ref55","DOI":"10.18653\/v1\/2022.acl-long.550"},{"key":"ref56","first-page":"1","article-title":"BERTScore: Evaluating text generation with BERT","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Zhang"},{"key":"ref57","first-page":"1","article-title":"Deberta: Decoding-enhanced bert with disentangled attention","volume-title":"Proc. Int. Conf. Learn. Representations","author":"He"},{"year":"2019","author":"Liu","article-title":"RoBERTa: A robustly optimized BERT pretraining approach","key":"ref58"},{"key":"ref59","first-page":"3731","article-title":"Dialogue natural language inference","volume-title":"Proc. 57th Annu. Meeting Assoc. Comput. Linguistics","author":"Welleck"},{"key":"ref60","first-page":"167","article-title":"BoB: BERT over BERT for training persona-based dialogue models from limited personalized data","volume-title":"Proc. 59th Annu. Meeting Assoc. Comput. Linguistics 11th Int. Joint Conf. Natural Lang. Process.","author":"Song"},{"key":"ref61","first-page":"5454","article-title":"Personalizing dialogue agents via meta-learning","volume-title":"Proc. 57th Annu. Meeting Assoc. Comput. Linguistics","author":"Madotto"},{"doi-asserted-by":"publisher","key":"ref62","DOI":"10.18653\/v1\/2020.acl-main.131"},{"year":"2021","author":"Susskind","article-title":"Neuro-symbolic AI: An emerging class of ai workloads and their characterization","key":"ref63"},{"year":"2020","author":"Li","article-title":"Knowledge bridging for empathetic dialogue generation","key":"ref64"},{"key":"ref65","first-page":"12522","article-title":"Multi-source multi-type knowledge exploration and exploitation for dialogue generation","volume-title":"Proc. Conf. Empirical Methods Natural Lang. Process.","author":"Ni"},{"doi-asserted-by":"publisher","key":"ref66","DOI":"10.18653\/v1\/2020.emnlp-main.54"},{"doi-asserted-by":"publisher","key":"ref67","DOI":"10.1609\/aaai.v35i16.17721"},{"key":"ref68","first-page":"2410","article-title":"Harnessing deep neural networks with logic rules","volume-title":"Proc. 54th Annu. Meeting Assoc. Comput. Linguistics","author":"Hu"},{"key":"ref69","first-page":"25192","article-title":"Improving coherence and consistency in neural sequence models with dual-system, neuro-symbolic reasoning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Nye"},{"key":"ref70","first-page":"4414","article-title":"Logic-consistency text generation from semantic parses","volume-title":"Proc. Findings Assoc. Comput. Linguistics","author":"Shu"},{"doi-asserted-by":"publisher","key":"ref71","DOI":"10.1609\/aaai.v35i18.17964"},{"doi-asserted-by":"publisher","key":"ref72","DOI":"10.18653\/v1\/2020.emnlp-demos.6"},{"key":"ref73","first-page":"8026","article-title":"PyTorch: An imperative style, high-performance deep learning library","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Paszke"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/69\/4358933\/10938896.pdf?arnumber=10938896","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,6]],"date-time":"2025-06-06T04:19:48Z","timestamp":1749183588000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10938896\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":73,"URL":"https:\/\/doi.org\/10.1109\/tkde.2025.3554819","relation":{},"ISSN":["1041-4347","1558-2191","2326-3865"],"issn-type":[{"type":"print","value":"1041-4347"},{"type":"electronic","value":"1558-2191"},{"type":"electronic","value":"2326-3865"}],"subject":[],"published":{"date-parts":[[2025]]}}}