{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,24]],"date-time":"2026-04-24T16:13:18Z","timestamp":1777047198552,"version":"3.51.4"},"reference-count":73,"publisher":"MIT Press","license":[{"start":{"date-parts":[[2026,4,24]],"date-time":"2026-04-24T00:00:00Z","timestamp":1776988800000},"content-version":"vor","delay-in-days":113,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["direct.mit.edu"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,4,10]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Characters are important in narratives. They move the plot forward, create emotional connections, and embody the story\u2019s themes. Visual storytelling methods focus more on the plot and events relating to it, without building the narrative around specific characters. As a result, the generated stories feel generic, with character mentions being absent, vague, or incorrect. To mitigate these issues, we introduce a new character-centric approach to visual story generation. We present the first model capable of predicting visual stories with consistently grounded and coreferent character mentions. Our model is finetuned on a new dataset which we build on top of the widely used VIST (Huang et al., 2016) benchmark. Specifically, we develop an automated pipeline to enrich VIST with visual and textual character coreference chains. We also propose new evaluation metrics to measure the richness of characters and coreference in stories. Experimental results show that our model generates stories with recurring characters which are consistent and coreferent to larger extent compared to baselines and state-of-the-art systems.1<\/jats:p>\n                  <jats:p>Our code and dataset are available at https:\/\/github.com\/iz2late\/character-centric-vist.<\/jats:p>","DOI":"10.1162\/tacl.a.641","type":"journal-article","created":{"date-parts":[[2026,4,24]],"date-time":"2026-04-24T15:19:43Z","timestamp":1777043983000},"page":"442-464","update-policy":"https:\/\/doi.org\/10.1162\/mitpressjournals.corrections.policy","source":"Crossref","is-referenced-by-count":0,"title":["Generating Visual Stories with Grounded and Coreferent Characters"],"prefix":"10.1162","volume":"14","author":[{"given":"Danyang","family":"Liu","sequence":"first","affiliation":[{"name":"Institute for Language, Cognition and Computation, School of Informatics, University of Edinburgh, 10 Crichton Street, Edinburgh EH8 9AB, UK. danyang.liu@ed.ac.uk"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mirella","family":"Lapata","sequence":"additional","affiliation":[{"name":"Institute for Language, Cognition and Computation, School of Informatics, University of Edinburgh, 10 Crichton Street, Edinburgh EH8 9AB, UK. mlap@inf.ed.ac.uk"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Frank","family":"Keller","sequence":"additional","affiliation":[{"name":"Institute for Language, Cognition and Computation, School of Informatics, University of Edinburgh, 10 Crichton Street, Edinburgh EH8 9AB, UK. keller@inf.ed.ac.uk"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"281","published-online":{"date-parts":[[2026,4,10]]},"reference":[{"key":"2026042411193773000_bib1","article-title":"OpenFlamingo: An open-source framework for training large autoregressive vision-language models","author":"Awadalla","year":"2023","journal-title":"arXiv preprint arXiv:2308.01390"},{"key":"2026042411193773000_bib2","first-page":"352","article-title":"Learning latent personas of film characters","volume-title":"Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","author":"Bamman","year":"2013"},{"key":"2026042411193773000_bib3","doi-asserted-by":"publisher","first-page":"5277","DOI":"10.18653\/v1\/2020.emnlp-main.426","article-title":"Modeling protagonist emotions for emotion-aware storytelling","volume-title":"Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)","author":"Brahman","year":"2020"},{"key":"2026042411193773000_bib4","doi-asserted-by":"publisher","first-page":"1734","DOI":"10.18653\/v1\/2021.findings-emnlp.150","article-title":"\u201cLet your characters tell their story\u201d: A dataset for character-centric narrative understanding","volume-title":"Findings of the Association for Computational Linguistics: EMNLP 2021","author":"Brahman","year":"2021"},{"key":"2026042411193773000_bib5","first-page":"28","article-title":"Evaluation metrics for end-to-end coreference resolution systems","volume-title":"Proceedings of the SIGDIAL 2010 Conference","author":"Cai","year":"2010"},{"key":"2026042411193773000_bib6","first-page":"28","article-title":"Evaluation metrics for end-to-end coreference resolution systems","volume-title":"Proceedings of the SIGDIAL 2010 Conference","author":"Cai","year":"2010"},{"key":"2026042411193773000_bib7","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1007\/978-3-030-58452-8_13","article-title":"End-to-end object detection with transformers","volume-title":"European Conference on Computer Vision","author":"Carion","year":"2020"},{"key":"2026042411193773000_bib8","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10982","article-title":"Unsupervised learning of evolving relationships between literary characters","volume-title":"Proceedings of the AAAI Conference on Artificial Intelligence","author":"Chaturvedi","year":"2017"},{"key":"2026042411193773000_bib9","doi-asserted-by":"publisher","first-page":"999","DOI":"10.1609\/aaai.v35i2.16184","article-title":"Commonsense knowledge aware concept selection for diverse and informative visual storytelling","volume-title":"Proceedings of the AAAI Conference on Artificial Intelligence","author":"Chen","year":"2021"},{"key":"2026042411193773000_bib10","article-title":"From persona to personalization: A survey on role- playing language agents","author":"Chen","year":"2024"},{"key":"2026042411193773000_bib11","doi-asserted-by":"publisher","first-page":"8506","DOI":"10.18653\/v1\/2023.findings-emnlp.570","article-title":"Large language models meet harry potter: A dataset for aligning dialogue agents with characters","volume-title":"Findings of the Association for Computational Linguistics: EMNLP 2023","author":"Chen","year":"2023"},{"key":"2026042411193773000_bib12","doi-asserted-by":"publisher","first-page":"2250","DOI":"10.18653\/v1\/N18-1204","article-title":"Neural text generation in stories using entity representations as context","volume-title":"Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)","author":"Clark","year":"2018"},{"key":"2026042411193773000_bib13","doi-asserted-by":"publisher","first-page":"4319","DOI":"10.18653\/v1\/2020.emnlp-main.351","article-title":"Content planning for neural story generation with aristotelian rescoring","volume-title":"Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)","author":"Goldfarb-Tarrant","year":"2020"},{"key":"2026042411193773000_bib14","article-title":"Contextualize, show and tell: A neural visual storyteller","author":"Gonzalez-Rico","year":"2018","journal-title":"arXiv preprint arXiv:1806.00738"},{"key":"2026042411193773000_bib15","article-title":"CHIRON: Rich character representations in long-form narratives","author":"Gurung","year":"2024","journal-title":"arXiv preprint arXiv:2406.10190"},{"key":"2026042411193773000_bib16","article-title":"CLIPScore: A reference-free evaluation metric for image captioning","author":"Hessel","year":"2021","journal-title":"arXiv preprint arXiv:2104.08718"},{"key":"2026042411193773000_bib17","article-title":"[lions: 1] and [tigers: 2] and [bears: 3], oh my! Literary coreference annotation with LLMs","author":"Hicke","year":"2024","journal-title":"arXiv preprint arXiv:2401.17922"},{"key":"2026042411193773000_bib18","doi-asserted-by":"publisher","first-page":"565","DOI":"10.1162\/tacl_a_00553","article-title":"Visual writing prompts: Character-grounded story generation with curated image sequences","volume":"11","author":"Hong","year":"2023","journal-title":"Transactions of the Association for Computational Linguistics"},{"key":"2026042411193773000_bib19","doi-asserted-by":"publisher","first-page":"420","DOI":"10.18653\/v1\/2020.conll-1.34","article-title":"Diverse and relevant visual storytelling with scene graph embeddings","volume-title":"Proceedings of the 24th Conference on Computational Natural Language Learning","author":"Hong","year":"2020"},{"key":"2026042411193773000_bib20","unstructured":"Matthew\n              Honnibal\n             and InesMontani. 2023. spacy: Industrial-strength natural language processing in python. Version 3.x."},{"key":"2026042411193773000_bib21","doi-asserted-by":"publisher","first-page":"7952","DOI":"10.1609\/aaai.v34i05.6303","article-title":"Knowledge-enriched visual storytelling","volume-title":"Proceedings of the AAAI Conference on Artificial Intelligence","author":"Hsu","year":"2020"},{"key":"2026042411193773000_bib22","doi-asserted-by":"publisher","first-page":"6365","DOI":"10.18653\/v1\/2022.acl-long.441","article-title":"Learning to rank visual stories from human ranking data","volume-title":"Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","author":"Hsu","year":"2022"},{"key":"2026042411193773000_bib23","doi-asserted-by":"publisher","first-page":"4443","DOI":"10.18653\/v1\/2021.findings-acl.390","article-title":"Plot and rework: Modeling storylines for visual storytelling","volume-title":"Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021","author":"Hsu","year":"2021"},{"key":"2026042411193773000_bib24","doi-asserted-by":"publisher","first-page":"356","DOI":"10.18653\/v1\/2021.acl-demo.42","article-title":"Stretch-VST: Getting flexible with visual stories","volume-title":"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations","author":"Hsu","year":"2021"},{"key":"2026042411193773000_bib25","doi-asserted-by":"publisher","first-page":"7969","DOI":"10.1609\/aaai.v34i05.6305","article-title":"What makes a good story? Designing composite rewards for visual storytelling","volume-title":"Proceedings of the AAAI Conference on Artificial Intelligence","author":"Junjie","year":"2020"},{"key":"2026042411193773000_bib26","doi-asserted-by":"publisher","first-page":"1233","DOI":"10.18653\/v1\/N16-1147","article-title":"Visual storytelling","volume-title":"Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies","author":"Huang","year":"2016"},{"key":"2026042411193773000_bib27","unstructured":"Gabriel\n              Ilharco\n            , MitchellWortsman, RossWightman, CadeGordon, NicholasCarlini, RohanTaori, AchalDave, VaishaalShankar, HongseokNamkoong, JohnMiller, HannanehHajishirzi, AliFarhadi, and LudwigSchmidt. 2021. Openclip. If you use this software, please cite it as below."},{"key":"2026042411193773000_bib28","doi-asserted-by":"publisher","first-page":"1008","DOI":"10.18653\/v1\/2022.findings-acl.81","article-title":"Learning and evaluating character representations in novels","volume-title":"Findings of the Association for Computational Linguistics: ACL 2022","author":"Inoue","year":"2022"},{"key":"2026042411193773000_bib29","doi-asserted-by":"publisher","first-page":"1534","DOI":"10.18653\/v1\/N16-1180","article-title":"Feuding families and former friends: Unsupervised learning for dynamic fictional relationships","volume-title":"Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies","author":"Iyyer","year":"2016"},{"key":"2026042411193773000_bib30","first-page":"4651","article-title":"Perceiver: General perception with iterative attention","volume-title":"International Conference on Machine Learning","author":"Jaegle","year":"2021"},{"key":"2026042411193773000_bib31","article-title":"Frowning frodo, wincing leia, and a seriously great friendship: Learning to classify emotional relationships of fictional characters","author":"Kim","year":"2019","journal-title":"arXiv preprint arXiv:1903.12453"},{"key":"2026042411193773000_bib32","article-title":"Learning joint Gaussian representations for movies, actors, and literary characters","author":"Kim","year":"2018","journal-title":"ArXiv"},{"key":"2026042411193773000_bib33","article-title":"GLAC net: Glocal attention cascading networks for multi-image cued story generation","author":"Kim","year":"2018","journal-title":"arXiv preprint arXiv:1805.10973"},{"key":"2026042411193773000_bib34","doi-asserted-by":"publisher","DOI":"10.21236\/ADA006655","article-title":"Derivation of new readability formulas (automated readability index, fog count and flesch reading ease formula) for navy enlisted personnel","author":"Peter Kincaid","year":"1975"},{"key":"2026042411193773000_bib35","doi-asserted-by":"publisher","first-page":"4015","DOI":"10.1109\/ICCV51070.2023.00371","article-title":"Segment anything","volume-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision","author":"Kirillov","year":"2023"},{"issue":"1\u20132","key":"2026042411193773000_bib36","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1002\/nav.3800020109","article-title":"The Hungarian method for the assignment problem","volume":"2","author":"Kuhn","year":"1955","journal-title":"Naval Research Logistics Quarterly"},{"key":"2026042411193773000_bib37","article-title":"Are large language models robust zero-shot coreference resolvers?","author":"Le","year":"2023","journal-title":"arXiv preprint arXiv:2305.14489"},{"key":"2026042411193773000_bib38","doi-asserted-by":"publisher","first-page":"7871","DOI":"10.18653\/v1\/2020.acl-main.703","article-title":"BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension","volume-title":"Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics","author":"Lewis","year":"2020"},{"key":"2026042411193773000_bib39","article-title":"MIMIC-IT: Multi-modal in-context instruction tuning","author":"Bo","year":"2023","journal-title":"arXiv preprint arXiv:2306.05425"},{"key":"2026042411193773000_bib40","doi-asserted-by":"crossref","DOI":"10.1145\/3664647.3681659","article-title":"Zero-shot character identification and speaker prediction in comics via iterative multimodal fusion","author":"Li","year":"2024"},{"key":"2026042411193773000_bib41","doi-asserted-by":"publisher","first-page":"13210","DOI":"10.1609\/aaai.v37i11.26551","article-title":"Detecting and grounding important characters in visual stories","volume-title":"Proceedings of the AAAI Conference on Artificial Intelligence","author":"Liu","year":"2023"},{"key":"2026042411193773000_bib42","article-title":"Visual storytelling with question-answer plans","author":"Liu","year":"2023","journal-title":"arXiv preprint arXiv:2310.05295"},{"key":"2026042411193773000_bib43","doi-asserted-by":"publisher","first-page":"1725","DOI":"10.1609\/aaai.v34i02.5536","article-title":"A character-centric neural model for automated story generation","volume-title":"Proceedings of the AAAI Conference on Artificial Intelligence","author":"Liu","year":"2020"},{"key":"2026042411193773000_bib44","article-title":"LLaVa-neXT: Improved reasoning, OCR, and world knowledge","author":"Liu","year":"2024"},{"key":"2026042411193773000_bib45","article-title":"Aligning with human judgement: The role of pairwise preference in large language model evaluators","author":"Liu","year":"2024","journal-title":"arXiv preprint arXiv:2403.16950"},{"key":"2026042411193773000_bib46","article-title":"Zero-shot NLG evaluation through pairware comparisons with LLMs","author":"Liusie","year":"2023","journal-title":"arXiv preprint arXiv:2307.07889"},{"key":"2026042411193773000_bib47","doi-asserted-by":"publisher","first-page":"852","DOI":"10.1007\/978-3-319-46448-0_51","article-title":"Visual relationship detection with language priors","volume-title":"European Conference on Computer Vision","author":"Cewu","year":"2016"},{"key":"2026042411193773000_bib48","doi-asserted-by":"publisher","first-page":"47","DOI":"10.18653\/v1\/W19-1805","article-title":"The steep road to happily ever after: An analysis of current visual storytelling models","volume-title":"Proceedings of the Second Workshop on Shortcomings in Vision and Language","author":"Modi","year":"2019"},{"key":"2026042411193773000_bib49","article-title":"MAUVE: Measuring the gap between neural text and human text using divergence frontiers","volume-title":"NeurIPS","author":"Pillutla","year":"2021"},{"key":"2026042411193773000_bib50","doi-asserted-by":"publisher","first-page":"114","DOI":"10.63317\/3dgdgn6675fa","article-title":"Big-five backstage: A dramatic dataset for characters personality traits & gender analysis","volume-title":"Proceedings of the Workshop on Cognitive Aspects of the Lexicon @ LREC-COLING 2024","author":"Porvatov","year":"2024"},{"key":"2026042411193773000_bib51","first-page":"8748","article-title":"Learning transferable visual models from natural language supervision","volume-title":"International Conference on Machine Learning","author":"Radford","year":"2021"},{"key":"2026042411193773000_bib52","doi-asserted-by":"publisher","first-page":"3505","DOI":"10.1145\/3394486.3406703","article-title":"Deepspeed: System optimizations enable training deep learning models with over 100 billion parameters","volume-title":"Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","author":"Rasley","year":"2020"},{"key":"2026042411193773000_bib53","doi-asserted-by":"publisher","first-page":"2052","DOI":"10.1109\/ICCV48922.2021.00206","article-title":"AESOP: Abstract encoding of stories, objects, and pictures","volume-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision","author":"Ravi","year":"2021"},{"key":"2026042411193773000_bib54","doi-asserted-by":"publisher","first-page":"815","DOI":"10.1109\/CVPR.2015.7298682","article-title":"FaceNet: A unified embedding for face recognition and clustering","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","author":"Schroff","year":"2015"},{"key":"2026042411193773000_bib55","article-title":"Character-centric storytelling","author":"Surikuchi","year":"2019","journal-title":"arXiv preprint arXiv:1909.07863"},{"key":"2026042411193773000_bib56","article-title":"Not (yet) the whole story: Evaluating visual storytelling requires more than measuring coherence, grounding, and repetition","author":"Surikuchi","year":"2024","journal-title":"arXiv preprint arXiv:2407.04559"},{"key":"2026042411193773000_bib57","article-title":"Groovist: A metric for grounding objects in visual storytelling","author":"Surikuchi","year":"2023","journal-title":"arXiv preprint arXiv:2310.17770"},{"key":"2026042411193773000_bib58","article-title":"Llama: Open and efficient foundation language models","author":"Touvron","year":"2023"},{"key":"2026042411193773000_bib59","doi-asserted-by":"publisher","first-page":"769","DOI":"10.18653\/v1\/D15-1088","article-title":"Mr. bennet, his coachman, and the archbishop walk into a bar but only one of them gets recognized: On the difficulty of detecting characters in literary texts","volume-title":"Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing","author":"Vala","year":"2015"},{"key":"2026042411193773000_bib60","doi-asserted-by":"publisher","first-page":"8970","DOI":"10.18653\/v1\/2022.emnlp-main.613","article-title":"Towards inter-character relationship-driven story generation","volume-title":"Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing","author":"Vijjini","year":"2022"},{"key":"2026042411193773000_bib61","doi-asserted-by":"publisher","first-page":"1602","DOI":"10.18653\/v1\/2024.eacl-long.96","article-title":"SCO-VIST: Social interaction commonsense knowledge-based visual storytelling","volume-title":"Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)","author":"Wang","year":"2024"},{"key":"2026042411193773000_bib62","doi-asserted-by":"publisher","first-page":"9185","DOI":"10.1609\/aaai.v34i05.6455","article-title":"Storytelling from an image stream using scene graphs","volume-title":"Proceedings of the AAAI Conference on Artificial Intelligence","author":"Wang","year":"2020"},{"key":"2026042411193773000_bib63","doi-asserted-by":"publisher","first-page":"3022","DOI":"10.1609\/aaai.v35i4.16410","article-title":"Imagine, reason and write: Visual storytelling with graph knowledge and relational reasoning","volume-title":"Proceedings of the AAAI Conference on Artificial Intelligence","author":"Chunpu","year":"2021"},{"key":"2026042411193773000_bib64","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2404.12138","article-title":"Character is destiny: Can large language models simulate persona-driven decisions in role-playing?","author":"Rui","year":"2024"},{"key":"2026042411193773000_bib65","article-title":"Set-of-mark prompting unleashes extraordinary visual grounding in gpt-4v","author":"Yang","year":"2023","journal-title":"arXiv preprint arXiv:2310.11441"},{"key":"2026042411193773000_bib66","doi-asserted-by":"publisher","first-page":"3378","DOI":"10.18653\/v1\/2023.acl-long.190","article-title":"DOC: Improving long story coherence with detailed outline control","volume-title":"Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","author":"Yang","year":"2023"},{"key":"2026042411193773000_bib67","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.emnlp-main.296","volume-title":"Re3: Generating longer stories with recursive reprompting and revision","author":"Yang","year":"2022"},{"key":"2026042411193773000_bib68","doi-asserted-by":"publisher","DOI":"10.52202\/075280-1086","article-title":"Fine-grained visual prompting","volume":"36","author":"Yang","year":"2024","journal-title":"Advances in Neural Information Processing Systems"},{"key":"2026042411193773000_bib69","doi-asserted-by":"publisher","first-page":"5356","DOI":"10.24963\/ijcai.2019\/744","article-title":"Knowledgeable storyteller: A commonsense-driven generative model for visual storytelling","volume-title":"IJCAI","author":"Yang","year":"2019"},{"key":"2026042411193773000_bib70","doi-asserted-by":"publisher","first-page":"7378","DOI":"10.1609\/aaai.v33i01.33017378","article-title":"Plan-and-write: Towards better automatic storytelling","volume-title":"Proceedings of the AAAI Conference on Artificial Intelligence","author":"Yao","year":"2019"},{"key":"2026042411193773000_bib71","doi-asserted-by":"publisher","first-page":"516","DOI":"10.1145\/2964284.2967274","article-title":"UnitBox: An advanced object detection network","volume-title":"Proceedings of the 24th ACM International Conference on Multimedia","author":"Jiahui","year":"2016"},{"key":"2026042411193773000_bib72","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2211.04684","article-title":"Few-shot character understanding in movies as an assessment to meta-learning of theory-of-mind","author":"Mo","year":"2022"},{"key":"2026042411193773000_bib73","article-title":"Judging LLM-as-a-judge with MT-bench and chatbot arena","volume":"36","author":"Zheng","year":"2024","journal-title":"Advances in Neural Information Processing Systems"}],"container-title":["Transactions of the Association for Computational Linguistics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/direct.mit.edu\/tacl\/article-pdf\/doi\/10.1162\/TACL.a.641\/2597117\/tacl.a.641.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/direct.mit.edu\/tacl\/article-pdf\/doi\/10.1162\/TACL.a.641\/2597117\/tacl.a.641.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,24]],"date-time":"2026-04-24T15:19:49Z","timestamp":1777043989000},"score":1,"resource":{"primary":{"URL":"https:\/\/direct.mit.edu\/tacl\/article\/doi\/10.1162\/TACL.a.641\/136340\/Generating-Visual-Stories-with-Grounded-and"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":73,"URL":"https:\/\/doi.org\/10.1162\/tacl.a.641","relation":{},"ISSN":["2307-387X"],"issn-type":[{"value":"2307-387X","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2026]]},"published":{"date-parts":[[2026]]}}}