Captions that describe or explain charts help improve recall and comprehension of the
depicted data and provide a more accessible medium for people with visual disabilities …

Scientific-style figures are commonly used on the web to present numerical information.
Captions that tell accurate figure information and sound natural would significantly improve …

Recent advancements in large vision-language models (LVLMs) have led to significant
progress in generating natural language descriptions for visual content and thus enhancing …

Image captioning is a fundamental task in vision-language understanding, where the model
predicts a textual informative caption to a given input image. In this paper, we present a …

Curation methods for massive vision-language datasets trade off between dataset size and
quality. However even the highest quality of available curated captions are far too short to …

Information visualizations such as bar charts and line charts are very popular for exploring
data and communicating insights. Interpreting and making sense of such visualizations can …

We explore the problem of Audio Captioning: generating natural language description for
any kind of audio in the wild, which has been surprisingly unexplored in previous research …

Image captioning is conventionally formulated as the task of generating captions that match
the conditional distribution of reference image-caption pairs. However, reference captions in …

Charts are commonly used for exploring data and communicating insights. Generating
natural language summaries from charts can be very helpful for people in inferring key …

Image captioning has conventionally relied on reference-based automatic evaluations,
where machine captions are compared against captions written by humans. This is in …