Modeling long texts has been an essential technique in the field of natural language
processing (NLP). With the ever-growing number of long documents, it is important to …

Large-scale language models, like ChatGPT, have garnered significant media attention and
stunned the public with their remarkable capacity for generating coherent text from short …

Current work on image-based story generation suffers from the fact that the existing image
sequence collections do not have coherent plots behind them. We improve visual story …

Movie screenplay summarization is challenging, as it requires an understanding of long
input contexts and various elements unique to movies. Large language models have shown …

For text summarization, the role of discourse structure is pivotal in discerning the core
content of a text. Regrettably, prior studies on incorporating Rhetorical Structure Theory …

Local coherence is essential for long-form text generation models. We identify two important
aspects of local coherence within the visual storytelling task:(1) the model needs to …

Recent advancements in vision-and-language models have opened new possibilities for
natural language generation, particularly in generating creative stories from visual input. We …

With the development of deep learning techniques, many models have been proposed for
abstractive text summarization. However, the problem of summarizing source documents …

Transforming narrative structure to implicit discourse relations in long-form text has recently
seen a mindset shift toward assessing generation consistency. To this extent, summarization …

The recent advancements in neural network models and the availability of vast amounts of
data, automatic summarization technology has become one of the primary solutions for …