Automated audio captioning is a cross-modal translation task that aims to generate natural
language descriptions for given audio clips. This task has received increasing attention with …

Over the last five years, research on Relation Extraction (RE) witnessed extensive progress
with many new dataset releases. At the same time, setup clarity has decreased, contributing …

With advances in the quality of text-to-image (T2I) models has come interest in
benchmarking their prompt faithfulness--the semantic coherence of generated images to the …

Audio captioning aims at describing the content of audio clips with human language. Due to
the ambiguity of audio content, different people may perceive the same audio clip differently …

This technical report describes an automated audio captioning system we submitted to
Detection and Classification of Acoustic Scenes and Events (DCASE) Challenge 2022 Task …

Visual storytelling (VIST) is a typical vision and language task that has seen extensive
development in the natural language generation research domain. However, it remains …

Image-guided Story Ending Generation aims at generating a reasonable and logical ending
given a story context and an ending-related image. The existing models have achieved …

Generating automatic dense captions for videos that accurately describe their contents
remains a challenging area of research. Most current models require processing the entire …

Large language models have advanced the state-of-the-art in natural language processing
and achieved success in tasks such as summarization, question answering, and text …

Abstract Language technologies are widely spreading over a diverse range of applications.
Therefore, the ability of computational systems to easily adapt to new unseen situations is …