506 citations · 1.2k across the 55 of their papers we have counts for
59 papers
Summaries as Captions: Generating Figure Captions for Scientific Documents with Automated Text Summarization
Chieh-Yang Huang, Ting-Yao Hsu, Ryan Rossi +6
Good figure captions help paper readers understand complex scientific figures. Unfortunately, even published papers often have poorly written captions. Automatic caption generation…
ACL-Fig: A Dataset for Scientific Figure Classification
Zeba Karishma, Shaurya Rohatgi, Kavya Shrinivas Puranik +2
Most existing large-scale academic search engines are built to retrieve text-based information. However, there are no large-scale retrieval services for scientific figures and tabl…
Neural JPEG: End-to-End Image Compression Leveraging a Standard JPEG Encoder-Decoder
Ankur Mali, Alexander Ororbia, Daniel Kifer +1
Recent advances in deep learning have led to superhuman performance across a variety of applications. Recently, these methods have been successfully employed to improve the rate-di…
SciBERTSUM: Extractive Summarization for Scientific Documents
Athar Sefid, C Lee Giles
The summarization literature focuses on the summarization of news articles. The news articles in the CNN-DailyMail are relatively short documents with about 30 sentences per docume…
A Synthetic Prediction Market for Estimating Confidence in Published Work
Sarah Rajtmajer, Christopher Griffin, Jian Wu +13
Explainably estimating confidence in published scholarly work offers opportunity for faster and more robust scientific progress. We develop a synthetic prediction market to assess…
SciCap: Generating Captions for Scientific Figures
Ting-Yao Hsu, C. Lee Giles, Ting-Hao 'Kenneth' Huang
Researchers use figures to communicate rich, complex information in scientific papers. The captions of these figures are critical to conveying effective messages. However, low-qual…