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In Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition (pp. 23023\u201323033).","DOI":"10.1109\/CVPR52729.2023.02205"},{"key":"10.1016\/j.ipm.2026.104987_b67","first-page":"11085","article-title":"Semantic self-segmentation for abstractive summarization of long documents in low-resource regimes","volume":"vol. 36","author":"Moro","year":"2022"},{"key":"10.1016\/j.ipm.2026.104987_b68","series-title":"Findings of the association for computational linguistics: AACL-IJCNLP 2022","first-page":"387","article-title":"Topic-aware multimodal summarization","author":"Mukherjee","year":"2022"},{"issue":"7","key":"10.1016\/j.ipm.2026.104987_b69","doi-asserted-by":"crossref","first-page":"1389","DOI":"10.1002\/j.1538-7305.1981.tb00272.x","article-title":"A comparative study of several dynamic time-warping algorithms for connected-word recognition","volume":"60","author":"Myers","year":"1981","journal-title":"Bell System Technical Journal"},{"issue":"2","key":"10.1016\/j.ipm.2026.104987_b70","doi-asserted-by":"crossref","first-page":"234","DOI":"10.1002\/asi.24727","article-title":"Structured abstract summarization of scientific articles: Summarization using full-text section information","volume":"74","author":"Oh","year":"2023","journal-title":"Journal of the Association for Information Science and Technology"},{"key":"10.1016\/j.ipm.2026.104987_b71","series-title":"2 Olmo 2 furious","author":"OLMo","year":"2024"},{"key":"10.1016\/j.ipm.2026.104987_b72","series-title":"Proceedings of the 2023 conference on empirical methods in natural language processing","first-page":"4117","article-title":"MRedditSum: a multimodal abstractive summarization dataset of Reddit threads with images","author":"Overbay","year":"2023"},{"issue":"5","key":"10.1016\/j.ipm.2026.104987_b73","doi-asserted-by":"crossref","first-page":"6779","DOI":"10.1109\/TNNLS.2022.3212900","article-title":"Video moment retrieval with noisy labels","volume":"35","author":"Pan","year":"2022","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"key":"10.1016\/j.ipm.2026.104987_b74","series-title":"Learning to summarize long texts with memory compression and transfer","author":"Park","year":"2020"},{"key":"10.1016\/j.ipm.2026.104987_b75","series-title":"Videolights: Feature refinement and cross-task alignment transformer for joint video highlight detection and moment retrieval","author":"Paul","year":"2024"},{"key":"10.1016\/j.ipm.2026.104987_b76","series-title":"Proceedings of the 2020 conference on empirical methods in natural language processing","first-page":"9308","article-title":"On extractive and abstractive neural document summarization with transformer language models","author":"Pilault","year":"2020"},{"key":"10.1016\/j.ipm.2026.104987_b77","doi-asserted-by":"crossref","unstructured":"Qiu, J., Zhu, J., Han, W., Kumar, A., Mittal, K., Jin, C., Yang, Z., Li, L., Wang, J., Zhao, D., et al. (2024). Mmsum: A dataset for multimodal summarization and thumbnail generation of videos. In Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition (pp. 21909\u201321921).","DOI":"10.1109\/CVPR52733.2024.02069"},{"key":"10.1016\/j.ipm.2026.104987_b78","series-title":"International conference on machine learning","first-page":"28492","article-title":"Robust speech recognition via large-scale weak supervision","author":"Radford","year":"2023"},{"key":"10.1016\/j.ipm.2026.104987_b79","series-title":"Language models are unsupervised multitask learners","author":"Radford","year":"2019"},{"key":"10.1016\/j.ipm.2026.104987_b80","series-title":"Compressive transformers for long-range sequence modelling","author":"Rae","year":"2019"},{"key":"10.1016\/j.ipm.2026.104987_b81","series-title":"Sentence-bert: Sentence embeddings using siamese bert-networks","author":"Reimers","year":"2019"},{"key":"10.1016\/j.ipm.2026.104987_b82","series-title":"Proceedings of the computer vision and pattern recognition conference","first-page":"3804","article-title":"Vista: Enhancing long-duration and high-resolution video understanding by video spatiotemporal augmentation","author":"Ren","year":"2025"},{"issue":"6","key":"10.1016\/j.ipm.2026.104987_b83","doi-asserted-by":"crossref","DOI":"10.1016\/j.ipm.2020.102269","article-title":"Deep learning-based extraction of algorithmic metadata in full-text scholarly documents","volume":"57","author":"Safder","year":"2020","journal-title":"Information Processing & Management"},{"issue":"2","key":"10.1016\/j.ipm.2026.104987_b84","doi-asserted-by":"crossref","DOI":"10.1016\/j.ipm.2019.102168","article-title":"Identifying breakthrough scientific papers","volume":"57","author":"Savov","year":"2020","journal-title":"Information Processing & Management"},{"key":"10.1016\/j.ipm.2026.104987_b85","series-title":"Proceedings of the 2021 conference on empirical methods in natural language processing","first-page":"6594","article-title":"QuestEval: summarization asks for fact-based evaluation","author":"Scialom","year":"2021"},{"key":"10.1016\/j.ipm.2026.104987_b86","doi-asserted-by":"crossref","first-page":"102","DOI":"10.1016\/j.knosys.2016.05.022","article-title":"Leveraging multimodal information for event summarization and concept-level sentiment analysis","volume":"108","author":"Shah","year":"2016","journal-title":"Knowledge-Based Systems"},{"key":"10.1016\/j.ipm.2026.104987_b87","series-title":"2022 4th international conference on natural language processing","first-page":"395","article-title":"Improved divide-and-conquer approach to abstractive summarization of scientific papers","author":"Shen","year":"2022"},{"key":"10.1016\/j.ipm.2026.104987_b88","series-title":"Stanford ai index report","author":"Stanford","year":"2025"},{"key":"10.1016\/j.ipm.2026.104987_b89","doi-asserted-by":"crossref","unstructured":"Stevens, S., Wu, J., Thompson, M., Campolongo, E., Song, C., Carlyn, D., Dong, L., Dahdul, W., Stewart, C., Berger-Wolf, T., et al. (2024). Bioclip: A vision foundation model for the tree of life. In Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition (pp. 19412\u201319424).","DOI":"10.1109\/CVPR52733.2024.01836"},{"key":"10.1016\/j.ipm.2026.104987_b90","series-title":"Eva-clip: Improved training techniques for clip at scale","author":"Sun","year":"2023"},{"key":"10.1016\/j.ipm.2026.104987_b91","first-page":"4998","article-title":"Tr-detr: Task-reciprocal transformer for joint moment retrieval and highlight detection","volume":"vol. 38","author":"Sun","year":"2024"},{"key":"10.1016\/j.ipm.2026.104987_b92","series-title":"Proceedings of the 31st international conference on computational linguistics: industry track","first-page":"263","article-title":"Enhancing large language models for scientific multimodal summarization with multimodal output","author":"Tan","year":"2025"},{"issue":"3","key":"10.1016\/j.ipm.2026.104987_b93","doi-asserted-by":"crossref","first-page":"1469","DOI":"10.1109\/TCSVT.2023.3296196","article-title":"Tldw: Extreme multimodal summarization of news videos","volume":"34","author":"Tang","year":"2023","journal-title":"IEEE Transactions on Circuits and Systems for Video Technology"},{"key":"10.1016\/j.ipm.2026.104987_b94","doi-asserted-by":"crossref","first-page":"1338","DOI":"10.1109\/TMM.2021.3063631","article-title":"Frame-wise cross-modal matching for video moment retrieval","volume":"24","author":"Tang","year":"2021","journal-title":"IEEE Transactions on Multimedia"},{"key":"10.1016\/j.ipm.2026.104987_b95","series-title":"Proceedings of the eleventh international conference on language resources and evaluation (LREC 2018)","doi-asserted-by":"crossref","DOI":"10.63317\/4kkijb3gs8mg","article-title":"Beyond generic summarization: a multi-faceted hierarchical summarization corpus of large heterogeneous data","author":"Tauchmann","year":"2018"},{"key":"10.1016\/j.ipm.2026.104987_b96","doi-asserted-by":"crossref","unstructured":"Venugopalan, S., Rohrbach, M., Donahue, J., Mooney, R., Darrell, T., & Saenko, K. (2015). Sequence to sequence-video to text. In Proceedings of the IEEE international conference on computer vision (pp. 4534\u20134542).","DOI":"10.1109\/ICCV.2015.515"},{"issue":"4","key":"10.1016\/j.ipm.2026.104987_b97","first-page":"1","volume":"43","author":"Wang","year":"2025","journal-title":"New Paradigm for Evaluating Scholar Summaries: A Facet-Aware Metric and A Meta-Evaluation Benchmark. ACM Transactions on Information Systems"},{"key":"10.1016\/j.ipm.2026.104987_b98","series-title":"Internvl3. 5: advancing open-source multimodal models in versatility, reasoning, and efficiency","author":"Wang","year":"2025"},{"issue":"4","key":"10.1016\/j.ipm.2026.104987_b99","volume":"60","author":"Wang","year":"2023","journal-title":"Plan and Generate: Explicit and Implicit Variational Augmentation for Multi-Document Summarization of Scientific Articles. 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(2024a). Task-driven exploration: Decoupling and inter-task feedback for joint moment retrieval and highlight detection. In Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition (pp. 18308\u201318318).","DOI":"10.1109\/CVPR52733.2024.01733"},{"issue":"4","key":"10.1016\/j.ipm.2026.104987_b108","doi-asserted-by":"crossref","DOI":"10.1016\/j.ipm.2024.103766","article-title":"Research on scientific knowledge evolution patterns based on ego-centered fine-granularity citation network","volume":"61","author":"Yang","year":"2024","journal-title":"Information Processing & Management"},{"key":"10.1016\/j.ipm.2026.104987_b109","first-page":"7386","article-title":"Scisummnet: A large annotated corpus and content-impact models for scientific paper summarization with citation networks","volume":"vol. 33","author":"Yasunaga","year":"2019"},{"issue":"4","key":"10.1016\/j.ipm.2026.104987_b110","doi-asserted-by":"crossref","DOI":"10.1016\/j.ipm.2025.104159","article-title":"Enhancing scientific table understanding with type-guided 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