Fetching the paper…
Reading the bibliography…
We introduce the task of grounded article generation with the goal of creating a Wikipedia-style article from multiple diverse videos about real-world events -- from natural disasters to political elections -- where all the information in the article is supported by video evidence.
Vatex: A large-scale, high-quality multilingual dataset for video-and-language research
Xin Wang, Jiawei Wu, Junkun Chen, Lei Li, Yuan-Fang Wang, and William Yang Wang. 2020 · 1904
Earlier work this paper cites.
Bertscore: Evaluating text generation with bert
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q. Weinberger, and Yoav Artzi. 2019 · 1904
Earlier work this paper cites.
Relevance feedback in information retrieval
J. J. Rocchio. 1971 · 1971
Earlier work this paper cites.
ROUGE: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
Earlier work this paper cites.
Automatically generating Wikipedia articles: A structure-aware approach
Christina Sauper and Regina Barzilay. 2009 · 2009
Earlier work this paper cites.
Collecting highly parallel data for paraphrase evaluation
David Chen and William Dolan. 2011 · 2011
Earlier work this paper cites.
Creating summaries from user videos
Michael Gygli, Helmut Grabner, Hayko Riemenschneider, and Luc Van Gool. 2014 · 2014
Earlier work this paper cites.
Teaching machines to read and comprehend
Karl Moritz Hermann, Tomas Kocisky, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman, and Phil Blunsom. 2015 · 2015
Earlier work this paper cites.
Tvsum: Summarizing web videos using titles
Yale Song, Jordi Vallmitjana, Amanda Stent, and Alejandro Jaimes. 2015 · 2015
Earlier work this paper cites.
Abstractive text summarization using sequence-to-sequence RNNs and beyond
Ramesh Nallapati, Bowen Zhou, Cicero dos Santos, Çağlar Gu ˙ \dot{} lçehre, and Bing Xiang. 2016 · 2016
Earlier work this paper cites.
Msr-vtt: A large video description dataset for bridging video and language
Jun Xu, Tao Mei, Ting Yao, and Yong Rui. 2016 · 2016
Earlier work this paper cites.
Localizing moments in video with natural language
Lisa Anne Hendricks, Oliver Wang, Eli Shechtman, Josef Sivic, Trevor Darrell, and Bryan Russell. 2017 · 2017
Earlier work this paper cites.
Tgif-qa: Toward spatio-temporal reasoning in visual question answering
Yunseok Jang, Yale Song, Youngjae Yu, Youngjin Kim, and Gunhee Kim. 2017 · 2017
Earlier work this paper cites.
Dense-captioning events in videos
Ranjay Krishna, Kenji Hata, Frederic Ren, Li Fei-Fei, and Juan Carlos Niebles. 2017 · 2017
Earlier work this paper cites.
TVQA: Localized, compositional video question answering
Jie Lei, Licheng Yu, Mohit Bansal, and Tamara Berg. 2018 · 2018
Earlier work this paper cites.
Multi-news: A large-scale multi-document summarization dataset and abstractive hierarchical model
Alexander Fabbri, Irene Li, Tianwei She, Suyi Li, and Dragomir Radev. 2019 · 2019
Earlier work this paper cites.
Activitynet-qa: a dataset for understanding complex web videos via question answering
Zhou Yu, Dejing Xu, Jun Yu, Ting Yu, Zhou Zhao, Yueting Zhuang, and Dacheng Tao. 2019 · 2019
Earlier work this paper cites.
Grounded video description
Luowei Zhou, Yannis Kalantidis, Xinlei Chen, Jason J. Corso, and Marcus Rohrbach. 2019 · 2019
Earlier work this paper cites.
GRIT: Generative role-filler transformers for document-level event entity extraction
Xinya Du, Alexander Rush, and Claire Cardie. 2021 · 2021
Earlier work this paper cites.
TWAG: A topic-guided Wikipedia abstract generator
Fangwei Zhu, Shangqing Tu, Jiaxin Shi, Juanzi Li, Lei Hou, and Tong Cui. 2021 · 2021
Earlier work this paper cites.
Learning to answer questions in dynamic audio-visual scenarios
Guangyao Li, Yake Wei, Yapeng Tian, Chenliang Xu, Ji-Rong Wen, and Di Hu. 2022 · 2022
Cited alongside, same era.
Robust speech recognition via large-scale weak supervision
Alec Radford, Jong Wook Kim, Tao Xu, Greg Brockman, Christine McLeavey, and Ilya Sutskever. 2022 · 2022
Cited alongside, same era.
POQue: Asking participant-specific outcome questions for a deeper understanding of complex events
Sai Vallurupalli, Sayontan Ghosh, Katrin Erk, Niranjan Balasubramanian, and Francis Ferraro. 2022 · 2022
Cited alongside, same era.
Megawika: Millions of reports and their sources across 50 diverse languages
Samuel Barham, Orion Weller, Michelle Yuan, Kenton Murray, Mahsa Yarmohammadi, Zhengping Jiang, Siddharth Vashishtha, Alexander Martin, Anqi Liu, Aaron Steven White, Jordan Boyd-Graber, and Benjamin Van Durme. 2023 · 2023
Cited alongside, same era.
A unified view of evaluation metrics for structured prediction
Yunmo Chen, William Gantt, Tongfei Chen, Aaron White, and Benjamin Van Durme. 2023a · 2023
Dolma: an open corpus of three trillion tokens for language model pretraining research
Luca Soldaini, Rodney Kinney, Akshita Bhagia, Dustin Schwenk, David Atkinson, Russell Authur, Ben Bogin, Khyathi Chandu, Jennifer Dumas, Yanai Elazar, Valentin Hofmann, Ananya Jha, Sachin Kumar, Li Lucy, Xinxi Lyu, Nathan Lambert, Ian Magnusson, Jacob Morrison, Niklas Muennighoff, and 17 others. 2024 · 2024
Later among the works it cites.
FAMuS: Frames across multiple sources
Siddharth Vashishtha, Alexander Martin, William Gantt, Benjamin Van Durme, and Aaron White. 2024 · 2024
Later among the works it cites.
Cross-document event-keyed summarization
William Walden, Pavlo Kuchmiichuk, Alexander Martin, Chihsheng Jin, Angela Cao, Claire Sun, Curisia Allen, and Aaron Steven White. 2024 · 2024
Later among the works it cites.
A closer look at claim decomposition
Miriam Wanner, Seth Ebner, Zhengping Jiang, Mark Dredze, and Benjamin Van Durme. 2024b · 2024
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Align and Attend: Multimodal Summarization with Dual Contrastive Losses
Bo He, Jun Wang, Jielin Qiu, Trung Bui, Abhinav Shrivastava, and Zhaowen Wang. 2023 · 2023
Cited alongside, same era.
Overview of the trec 2023 neuclir track
Dawn Lawrie, Sean MacAvaney, James Mayfield, Paul McNamee, Douglas W. Oard, and Luca Soldaini åand Eugene Yang. 2024 · 2023
Cited alongside, same era.
FActScore: Fine-grained atomic evaluation of factual precision in long form text generation
Sewon Min, Kalpesh Krishna, Xinxi Lyu, Mike Lewis, Wen-tau Yih, Pang Koh, Mohit Iyyer, Luke Zettlemoyer, and Hannaneh Hajishirzi. 2023 · 2023
Cited alongside, same era.
MultiVENT: Multilingual videos of events and aligned natural text
Kate Sanders, David Etter, Reno Kriz, and Benjamin Van Durme. 2023 · 2023
Cited alongside, same era.
AlignScore: Evaluating factual consistency with a unified alignment function
Yuheng Zha, Yichi Yang, Ruichen Li, and Zhiting Hu. 2023 · 2023
Cited alongside, same era.
Vast: A vision-audio-subtitle-text omni-modality foundation model and dataset
Sihan Chen, Handong Li, Qunbo Wang, Zijia Zhao, Mingzhen Sun, Xinxin Zhu, and Jing Liu. 2024 · 2024
Cited alongside, same era.
Dated data: Tracing knowledge cutoffs in large language models
Jeffrey Cheng, Marc Marone, Orion Weller, Dawn Lawrie, Daniel Khashabi, and Benjamin Van Durme. 2024 · 2024
Cited alongside, same era.
Shuai Bai, Keqin Chen, Xuejing Liu, Jialin Wang, Wenbin Ge, Sibo Song, Kai Dang, Peng Wang, Shijie Wang, Jun Tang, Humen Zhong, Yuanzhi Zhu, Mingkun Yang, Zhaohai Li, Jianqiang Wan, Pengfei Wang, Wei Ding, Zheren Fu, Yiheng Xu, and 8 others. 2025 · 2025
Closest in time.
Megawika 2: A more comprehensive multilingual collection of articles and their sources
Samuel Barham, Chandler May, and Benjamin Van Durme. 2025 · 2025
Closest in time.
Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning
DeepSeek-AI, Daya Guo, Dejian Yang, Haowei Zhang, Junxiao Song, Ruoyu Zhang, Runxin Xu, Qihao Zhu, Shirong Ma, Peiyi Wang, Xiao Bi, Xiaokang Zhang, Xingkai Yu, Yu Wu, Z. F. Wu, Zhibin Gou, Zhihong Shao, Zhuoshu Li, Ziyi Gao, and 181 others. 2025 · 2025
Closest in time.
Decomposition dilemmas: Does claim decomposition boost or burden fact-checking performance?
Qisheng Hu, Quanyu Long, and Wenya Wang. 2025 · 2025
Closest in time.
Vision-r1: Incentivizing reasoning capability in multimodal large language models
Wenxuan Huang, Bohan Jia, Zijie Zhai, Shaosheng Cao, Zheyu Ye, Fei Zhao, Zhe Xu, Yao Hu, and Shaohui Lin. 2025 · 2025
Closest in time.
Is that your final answer? test-time scaling improves selective question answering
William Jurayj, Jeffrey Cheng, and Benjamin Van Durme. 2025 · 2025
Closest in time.
Videochat-flash: Hierarchical compression for long-context video modeling
Xinhao Li, Yi Wang, Jiashuo Yu, Xiangyu Zeng, Yuhan Zhu, Haian Huang, Jianfei Gao, Kunchang Li, Yinan He, Chenting Wang, Yu Qiao, Yali Wang, and Limin Wang. 2025 · 2025
Closest in time.
Qwen, :, An Yang, Baosong Yang, Beichen Zhang, Binyuan Hui, Bo Zheng, Bowen Yu, Chengyuan Li, Dayiheng Liu, Fei Huang, Haoran Wei, Huan Lin, Jian Yang, Jianhong Tu, Jianwei Zhang, Jianxin Yang, Jiaxi Yang, Jingren Zhou, and 25 others. 2025 · 2025
Closest in time.
Video-colbert: Contextualized late interaction for text-to-video retrieval
Arun Reddy, Alexander Martin, Eugene Yang, Andrew Yates, Kate Sanders, Kenton Murray, Reno Kriz, Celso M. de Melo, Benjamin Van Durme, and Rama Chellappa. 2025 · 2025
Closest in time.
Videorag: Retrieval-augmented generation with extreme long-context videos
Xubin Ren, Lingrui Xu, Long Xia, Shuaiqiang Wang, Dawei Yin, and Chao Huang. 2025 · 2025
Closest in time.
Mmmorrf: Multimodal multilingual modularized reciprocal rank fusion
Saron Samuel, Dan DeGenaro, Jimena Guallar-Blasco, Kate Sanders, Oluwaseun Eisape, Arun Reddy, Alexander Martin, Andrew Yates, Eugene Yang, Cameron Carpenter, David Etter, Efsun Kayi, Matthew Wiesner, Kenton Murray, and Reno Kriz. 2025 · 2025
Closest in time.
Nli under the microscope: What atomic hypothesis decomposition reveals
Neha Srikanth and Rachel Rudinger. 2025 · 2025
Closest in time.
Internvideo2.5: Empowering video mllms with long and rich context modeling
Yi Wang, Xinhao Li, Ziang Yan, Yinan He, Jiashuo Yu, Xiangyu Zeng, Chenting Wang, Changlian Ma, Haian Huang, Jianfei Gao, Min Dou, Kai Chen, Wenhai Wang, Yu Qiao, Yali Wang, and Limin Wang. 2025 · 2025
Closest in time.
Rank1: Test-time compute for reranking in information retrieval
Orion Weller, Kathryn Ricci, Eugene Yang, Andrew Yates, Dawn Lawrie, and Benjamin Van Durme. 2025 · 2025
Closest in time.
Wikiautogen: Towards multi-modal wikipedia-style article generation
Zhongyu Yang, Jun Chen, Dannong Xu, Junjie Fei, Xiaoqian Shen, Liangbing Zhao, Chun-Mei Feng, and Mohamed Elhoseiny. 2025 · 2025
Closest in time.