{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T15:47:57Z","timestamp":1782488877729,"version":"3.54.5"},"reference-count":56,"publisher":"Elsevier BV","issue":"1","license":[{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100015295","name":"Chongqing Social Science Planning Fund","doi-asserted-by":"publisher","award":["2025NDYB068"],"award-info":[{"award-number":["2025NDYB068"]}],"id":[{"id":"10.13039\/501100015295","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100015295","name":"Chongqing Social Science Planning Fund","doi-asserted-by":"publisher","award":["2021PY42"],"award-info":[{"award-number":["2021PY42"]}],"id":[{"id":"10.13039\/501100015295","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005230","name":"Chongqing Natural Science Foundation","doi-asserted-by":"publisher","award":["CSTB2024YCJH-KYXM0038"],"award-info":[{"award-number":["CSTB2024YCJH-KYXM0038"]}],"id":[{"id":"10.13039\/501100005230","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005230","name":"Chongqing Natural Science Foundation","doi-asserted-by":"publisher","award":["CSTB2025YITP-QCRCX0031"],"award-info":[{"award-number":["CSTB2025YITP-QCRCX0031"]}],"id":[{"id":"10.13039\/501100005230","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005230","name":"Chongqing Natural Science Foundation","doi-asserted-by":"publisher","award":["CSTB2025NSCQ-LZX0134"],"award-info":[{"award-number":["CSTB2025NSCQ-LZX0134"]}],"id":[{"id":"10.13039\/501100005230","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005230","name":"Chongqing Natural Science Foundation","doi-asserted-by":"publisher","award":["CSTB2025NSCQ-GPX0823"],"award-info":[{"award-number":["CSTB2025NSCQ-GPX0823"]}],"id":[{"id":"10.13039\/501100005230","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007957","name":"Chongqing Municipal Education Commission","doi-asserted-by":"publisher","award":["KJZDM202400803"],"award-info":[{"award-number":["KJZDM202400803"]}],"id":[{"id":"10.13039\/501100007957","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007957","name":"Chongqing Municipal Education Commission","doi-asserted-by":"publisher","award":["KJQN202400813"],"award-info":[{"award-number":["KJQN202400813"]}],"id":[{"id":"10.13039\/501100007957","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007957","name":"Chongqing Municipal Education Commission","doi-asserted-by":"publisher","award":["23SKGH158"],"award-info":[{"award-number":["23SKGH158"]}],"id":[{"id":"10.13039\/501100007957","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Information Processing &amp; Management"],"published-print":{"date-parts":[[2027,1]]},"DOI":"10.1016\/j.ipm.2026.104978","type":"journal-article","created":{"date-parts":[[2026,6,22]],"date-time":"2026-06-22T13:43:55Z","timestamp":1782135835000},"page":"104978","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"PA","title":["DC-FM: A logic-fact dual consistency filtering method for aligned samples in graph-to-text generation"],"prefix":"10.1016","volume":"64","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-5076-2099","authenticated-orcid":false,"given":"Yutong","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ze","family":"Shi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kecheng","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8868-6913","authenticated-orcid":false,"given":"Zhiwei","family":"Guo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu","family":"Shen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.ipm.2026.104978_b1","series-title":"Proceedings of the 2021 conference of the North American chapter of the association for computational linguistics: human language technologies","first-page":"3554","article-title":"Knowledge graph based synthetic corpus generation for knowledge-enhanced language model pre-training","author":"Agarwal","year":"2021"},{"key":"10.1016\/j.ipm.2026.104978_b2","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2023.121869","article-title":"Automatic logical forms improve fidelity in table-to-text generation","volume":"238","author":"Alonso","year":"2024","journal-title":"Expert Systems with Applications"},{"issue":"8","key":"10.1016\/j.ipm.2026.104978_b3","doi-asserted-by":"crossref","first-page":"2266","DOI":"10.1109\/TAI.2025.3544590","article-title":"Securellama: Secure FPGAs using LLAMA large language models","volume":"6","author":"Alqarni","year":"2025","journal-title":"IEEE Transactions on Artificial Intelligence"},{"key":"10.1016\/j.ipm.2026.104978_b4","series-title":"Proceedings of the acl workshop on intrinsic and extrinsic evaluation measures for machine translation and\/or summarization","first-page":"65","article-title":"METEOR: An automatic metric for MT evaluation with improved correlation with human judgments","author":"Banerjee","year":"2005"},{"key":"10.1016\/j.ipm.2026.104978_b5","series-title":"Proceedings of the 2024 joint international conference on computational linguistics, language resources and evaluation (LREC-cOLING 2024)","first-page":"10777","article-title":"LongDocFACTScore: Evaluating the factuality of long document abstractive summarisation","author":"Bishop","year":"2024"},{"key":"10.1016\/j.ipm.2026.104978_b6","series-title":"Proceedings of the 63rd annual meeting of the association for computational linguistics (volume 1: long papers)","first-page":"11199","article-title":"Improving factuality with explicit working memory","author":"Chen","year":"2025"},{"key":"10.1016\/j.ipm.2026.104978_b7","series-title":"Proceedings of the 2022 conference of the North American chapter of the association for computational linguistics: human language technologies","first-page":"2587","article-title":"QaFactEval: Improved QA-based factual consistency evaluation for summarization","author":"Fabbri","year":"2022"},{"key":"10.1016\/j.ipm.2026.104978_b8","series-title":"Proceedings of the 3rd international workshop on natural language generation from the semantic web (webNLG+)","first-page":"55","article-title":"The 2020 bilingual, bi-directional webnlg+ shared task overview and evaluation results (webnlg+ 2020)","author":"Ferreira","year":"2020"},{"key":"10.1016\/j.ipm.2026.104978_b9","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2025.126712","article-title":"HaluCheck: Explainable and verifiable automation for detecting hallucinations in LLM responses","volume":"272","author":"Heo","year":"2025","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.ipm.2026.104978_b10","series-title":"Proceedings of the 28th international conference on computational linguistics","first-page":"2398","article-title":"GenWiki: A dataset of 1.3 million content-sharing text and graphs for unsupervised graph-to-text generation","author":"Jin","year":"2020"},{"key":"10.1016\/j.ipm.2026.104978_b11","doi-asserted-by":"crossref","DOI":"10.1016\/j.nlp.2023.100048","article-title":"A survey of GPT-3 family large language models including ChatGPT and GPT-4","volume":"6","author":"Kalyan","year":"2024","journal-title":"Natural Language Processing Journal"},{"key":"10.1016\/j.ipm.2026.104978_b12","series-title":"Ontology-free general-domain knowledge graph-to-text generation dataset synthesis using large language model","author":"Kim","year":"2024"},{"key":"10.1016\/j.ipm.2026.104978_b13","series-title":"FactKG: Fact verification via reasoning on knowledge graphs","author":"Kim","year":"2023"},{"issue":"10","key":"10.1016\/j.ipm.2026.104978_b14","doi-asserted-by":"crossref","first-page":"260","DOI":"10.1007\/s10462-024-10888-y","article-title":"Large language models (LLMs): survey, technical frameworks, and future challenges","volume":"57","author":"Kumar","year":"2024","journal-title":"Artificial Intelligence Review"},{"key":"10.1016\/j.ipm.2026.104978_b15","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1162\/tacl_a_00453","article-title":"Summac: Re-visiting NLI-based models for inconsistency detection in summarization","volume":"10","author":"Laban","year":"2022","journal-title":"Transactions of the Association for Computational Linguistics"},{"key":"10.1016\/j.ipm.2026.104978_b16","series-title":"FactCG: Enhancing fact checkers with graph-based multi-hop data","author":"Lei","year":"2025"},{"issue":"9","key":"10.1016\/j.ipm.2026.104978_b17","first-page":"1","article-title":"Pre-trained language models for text generation: A survey","volume":"56","author":"Li","year":"2024","journal-title":"ACM Computing Surveys"},{"key":"10.1016\/j.ipm.2026.104978_b18","series-title":"Proceedings of the 62nd annual meeting of the association for computational linguistics (volume 1: long papers)","first-page":"5266","article-title":"Uhgeval: Benchmarking the hallucination of chinese large language models via unconstrained generation","author":"Liang","year":"2024"},{"issue":"6","key":"10.1016\/j.ipm.2026.104978_b19","doi-asserted-by":"crossref","first-page":"3522","DOI":"10.1007\/s10489-020-01964-1","article-title":"An improved aspect-category sentiment analysis model for text sentiment analysis based on roberta","volume":"51","author":"Liao","year":"2021","journal-title":"Applied Intelligence: The International Journal of Artificial Intelligence, Neural Networks, and Complex Problem-Solving Technologies"},{"key":"10.1016\/j.ipm.2026.104978_b20","series-title":"Text summarization branches out","first-page":"74","article-title":"Rouge: A package for automatic evaluation of summaries","author":"Lin","year":"2004"},{"key":"10.1016\/j.ipm.2026.104978_b21","series-title":"Proceedings of the 63rd annual meeting of the association for computational linguistics (volume 1: long papers)","first-page":"26798","article-title":"Quasar: A question-driven structure-aware approach for table-to-text generation","author":"Liu","year":"2025"},{"key":"10.1016\/j.ipm.2026.104978_b22","series-title":"International conference on machine learning","first-page":"22631","article-title":"The flan collection: Designing data and methods for effective instruction tuning","author":"Longpre","year":"2023"},{"issue":"3","key":"10.1016\/j.ipm.2026.104978_b23","doi-asserted-by":"crossref","first-page":"196","DOI":"10.1007\/s12046-025-02860-5","article-title":"A comprehensive study on factual consistency in LLMs for data-to-text generation","volume":"50","author":"Mahapatra","year":"2025","journal-title":"S\u0100dhan\u0100"},{"key":"10.1016\/j.ipm.2026.104978_b24","series-title":"Selfcheckgpt: Zero-resource black-box hallucination detection for generative large language models","author":"Manakul","year":"2023"},{"issue":"6","key":"10.1016\/j.ipm.2026.104978_b25","doi-asserted-by":"crossref","first-page":"btae353","DOI":"10.1093\/bioinformatics\/btae353","article-title":"KRAGEN: a knowledge graph-enhanced RAG framework for biomedical problem solving using large language models","volume":"40","author":"Matsumoto","year":"2024","journal-title":"Bioinformatics"},{"key":"10.1016\/j.ipm.2026.104978_b26","series-title":"Factscore: Fine-grained atomic evaluation of factual precision in long form text generation","author":"Min","year":"2023"},{"key":"10.1016\/j.ipm.2026.104978_b27","series-title":"Australasian joint conference on artificial intelligence","first-page":"298","article-title":"Chain of thought prompting in vision-language model for vision reasoning tasks","author":"Ou","year":"2024"},{"key":"10.1016\/j.ipm.2026.104978_b28","series-title":"Proceedings of the 40th annual meeting of the association for computational linguistics","first-page":"311","article-title":"Bleu: a method for automatic evaluation of machine translation","author":"Papineni","year":"2002"},{"key":"10.1016\/j.ipm.2026.104978_b29","series-title":"Proceedings of the twentieth European conference on computer systems","first-page":"360","article-title":"Pegasus: Transparent and unified kernel-bypass networking for fast local and remote communication","author":"Peng","year":"2025"},{"key":"10.1016\/j.ipm.2026.104978_b30","series-title":"Proceedings of the second conference on machine translation","first-page":"612","article-title":"Chrf++: words helping character n-grams","author":"Popovi\u0107","year":"2017"},{"issue":"1","key":"10.1016\/j.ipm.2026.104978_b31","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3749838","article-title":"Fact checking knowledge graphs-a survey","volume":"58","author":"Qudus","year":"2025","journal-title":"ACM Computing Surveys"},{"key":"10.1016\/j.ipm.2026.104978_b32","doi-asserted-by":"crossref","first-page":"3466","DOI":"10.1109\/TASLP.2024.3426332","article-title":"T5g2p: Text-to-text transfer transformer based grapheme-to-phoneme conversion","volume":"32","author":"\u0158ez\u00e1\u010dkov\u00e1","year":"2024","journal-title":"IEEE\/ACM Transactions on Audio, Speech, and Language Processing"},{"key":"10.1016\/j.ipm.2026.104978_b33","series-title":"QuestEval: Summarization asks for fact-based evaluation","author":"Scialom","year":"2021"},{"key":"10.1016\/j.ipm.2026.104978_b34","series-title":"Advances in neural information processing systems","first-page":"29166","article-title":"A critical evaluation of ai feedback for aligning large language models","author":"Sharma","year":"2024"},{"key":"10.1016\/j.ipm.2026.104978_b35","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2024.125723","article-title":"Mitigating reasoning hallucination through multi-agent collaborative filtering","volume":"263","author":"Shi","year":"2025","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.ipm.2026.104978_b36","series-title":"Proceedings of the 7th conference of the association for machine translation in the americas: technical papers","first-page":"223","article-title":"A study of translation edit rate with targeted human annotation","author":"Snover","year":"2006"},{"key":"10.1016\/j.ipm.2026.104978_b37","series-title":"Minicheck: Efficient fact-checking of llms on grounding documents","author":"Tang","year":"2024"},{"key":"10.1016\/j.ipm.2026.104978_b38","first-page":"7419","article-title":"G-veval: A versatile metric for evaluating image and video captions using GPT-4o","volume":"vol. 39","author":"Tong","year":"2025"},{"key":"10.1016\/j.ipm.2026.104978_b39","series-title":"2024 14th international conference on computer and knowledge engineering","first-page":"243","article-title":"Distilled BERT model in natural language processing","author":"Vakili","year":"2024"},{"key":"10.1016\/j.ipm.2026.104978_b40","article-title":"Srlfactqa at factify5wqa: Composite claim-evidence consistency aware semantic role labelling based question-answering entailment","volume":"vol. 3","author":"Veeramani","year":"2024"},{"key":"10.1016\/j.ipm.2026.104978_b41","article-title":"Efficient logical reasoning in large language models through program-guided learning","author":"Wang","year":"2024","journal-title":"Authorea Preprints"},{"key":"10.1016\/j.ipm.2026.104978_b42","series-title":"Proceedings of the 2023 international conference on artificial intelligence, systems and network security","first-page":"77","article-title":"Detecting and mitigating the ungrounded hallucinations in text generation by LLMs","author":"Wei","year":"2023"},{"issue":"5","key":"10.1016\/j.ipm.2026.104978_b43","doi-asserted-by":"crossref","first-page":"1122","DOI":"10.1109\/JAS.2023.123618","article-title":"A brief overview of ChatGPT: The history, status quo and potential future development","volume":"10","author":"Wu","year":"2023","journal-title":"IEEE\/CAA Journal of Automatica Sinica"},{"key":"10.1016\/j.ipm.2026.104978_b44","series-title":"2025 IEEE 41st international conference on data engineering","first-page":"3070","article-title":"Multirag: a knowledge-guided framework for mitigating hallucination in multi-source retrieval augmented generation","author":"Wu","year":"2025"},{"key":"10.1016\/j.ipm.2026.104978_b45","article-title":"Xlnet: Generalized autoregressive pretraining for language understanding","volume":"vol. 32","author":"Yang","year":"2019"},{"key":"10.1016\/j.ipm.2026.104978_b46","series-title":"International conference on document analysis and recognition","first-page":"63","article-title":"Document specular highlight removal with coarse-to-fine strategy","author":"Yang","year":"2024"},{"key":"10.1016\/j.ipm.2026.104978_b47","series-title":"AlignScore: Evaluating factual consistency with a unified alignment function","author":"Zha","year":"2023"},{"key":"10.1016\/j.ipm.2026.104978_b48","series-title":"ACL 2025-63rd annual meeting of the association for computational linguistics","first-page":"820","article-title":"Structured discourse representation for factual consistency verification","author":"Zhang","year":"2025"},{"key":"10.1016\/j.ipm.2026.104978_b49","series-title":"Bertscore: Evaluating text generation with bert","author":"Zhang","year":"2019"},{"issue":"3","key":"10.1016\/j.ipm.2026.104978_b50","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3617680","article-title":"A survey of controllable text generation using transformer-based pre-trained language models","volume":"56","author":"Zhang","year":"2023","journal-title":"ACM Computing Surveys"},{"key":"10.1016\/j.ipm.2026.104978_b51","series-title":"Proceedings of the 2024 joint international conference on computational linguistics, language resources and evaluation (LREC-cOLING 2024)","first-page":"6980","article-title":"Exploring the synergy of dual-path encoder and alignment module for better graph-to-text generation","author":"Zhao","year":"2024"},{"key":"10.1016\/j.ipm.2026.104978_b52","series-title":"Loft: Enhancing faithfulness and diversity for table-to-text generation via logic form control","author":"Zhao","year":"2023"},{"issue":"8","key":"10.1016\/j.ipm.2026.104978_b53","doi-asserted-by":"crossref","first-page":"340","DOI":"10.1007\/s40747-025-01985-8","article-title":"Efficient knowledge graph to text powered by LLGM: linear latent graph model","volume":"11","author":"Zhao","year":"2025","journal-title":"Complex & Intelligent Systems"},{"issue":"1","key":"10.1016\/j.ipm.2026.104978_b54","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1007\/s40747-024-01690-y","article-title":"Edge-centric optimization: a novel strategy for minimizing information loss in graph-to-text generation","volume":"11","author":"Zheng","year":"2025","journal-title":"Complex & Intelligent Systems"},{"issue":"14","key":"10.1016\/j.ipm.2026.104978_b55","doi-asserted-by":"crossref","first-page":"6171","DOI":"10.3390\/app14146171","article-title":"Microbert: Distilling moe-based knowledge from BERT into a lighter model","volume":"14","author":"Zheng","year":"2024","journal-title":"Applied Sciences"},{"key":"10.1016\/j.ipm.2026.104978_b56","series-title":"Proceedings of the 33rd ACM international conference on information and knowledge management","first-page":"3602","article-title":"MV-BART: Multi-view BART for multi-modal sarcasm detection","author":"Zhuang","year":"2024"}],"container-title":["Information Processing &amp; Management"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0306457326003699?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0306457326003699?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T15:02:19Z","timestamp":1782486139000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0306457326003699"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2027,1]]},"references-count":56,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2027,1]]}},"alternative-id":["S0306457326003699"],"URL":"https:\/\/doi.org\/10.1016\/j.ipm.2026.104978","relation":{},"ISSN":["0306-4573"],"issn-type":[{"value":"0306-4573","type":"print"}],"subject":[],"published":{"date-parts":[[2027,1]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"DC-FM: A logic-fact dual consistency filtering method for aligned samples in graph-to-text generation","name":"articletitle","label":"Article Title"},{"value":"Information Processing & Management","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ipm.2026.104978","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"104978"}}