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Generating presentation slides from a long document with multimodal elements such as text and images is an important task.
A guided tour to approximate string matching
Gonzalo Navarro. 2001 · 2001
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Effectiveness of powerpoint presentations in lectures
Robert A Bartsch and Kristi M Cobern. 2003 · 2003
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’auto-presentation’: a multi-agent system for building automatic multi-modal presentation of a topic from world wide web information
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Exploring the Importance of Themes in Narrative Systems
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M Sravanthi, C Ravindranath Chowdary, and P Sreenivasa Kumar. 2009 · 2009
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Deep submodular networks for extractive data summarization
Suraj Kothawade, Jiten Girdhar, Chandrashekhar Lavania, and Rishabh Iyer. 2020 · 2010
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Ppsgen: learning to generate presentation slides for academic papers
Yue Hu and Xiaojun Wan. 2013 · 2013
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Phrase-based presentation slides generation for academic papers
Sida Wang, Xiaojun Wan, and Shikang Du. 2017 · 2017
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Edward Sun, Yufang Hou, Dakuo Wang, Yunfeng Zhang, and Nancy XR Wang. 2021 · 2021
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Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al. 2022 · 2022
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Large language models and the perils of their hallucinations
Razvan Azamfirei, Sapna R Kudchadkar, and James Fackler. 2023 · 2023
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Albert Q. Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, Lélio Renard Lavaud, Marie-Anne Lachaux, Pierre Stock, Teven Le Scao, Thibaut Lavril, Thomas Wang, Timothée Lacroix, and William El Sayed. 2023 · 2023
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G-eval: NLG evaluation using gpt-4 with better human alignment
Yang Liu, Dan Iter, Yichong Xu, Shuohang Wang, Ruochen Xu, and Chenguang Zhu. 2023b · 2023
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Tsu-Jui Fu, William Yang Wang, Daniel McDuff, and Yale Song. 2022 · 2022
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Training language models to follow instructions with human feedback
Long Ouyang, Jeff Wu, Xu Jiang, Diogo Almeida, Carroll L. Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, John Schulman, Jacob Hilton, Fraser Kelton, Luke Miller, Maddie Simens, Amanda Askell, Peter Welinder, Paul Christiano, Jan Leike, and Ryan Lowe. 2022 · 2022
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Lost in the middle: How language models use long contexts
Nelson F Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang. 2023a
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Jesse Mu, Xiang Lisa Li, and Noah Goodman. 2023 · 2023
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Automatic evaluation of attribution by large language models
Xiang Yue, Boshi Wang, Kai Zhang, Ziru Chen, Yu Su, and Huan Sun. 2023 · 2023
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Analyzing and mitigating object hallucination in large vision-language models
Yiyang Zhou, Chenhang Cui, Jaehong Yoon, Linjun Zhang, Zhun Deng, Chelsea Finn, Mohit Bansal, and Huaxiu Yao. 2023 · 2023
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