1 citations · 1 across the 4 of their papers we have counts for
5 papers
From Image Captioning to Visual Storytelling
Admitos Passadakis, Yingjin Song, Albert Gatt
Visual Storytelling is a challenging multimodal task between Vision & Language, where the purpose is to generate a story for a stream of images. Its difficulty lies on the fact tha…
Disentangling the Roles of Representation and Selection in Data Pruning
Yupei Du, Yingjin Song, Hugh Mee Wong +3
Data pruning, selecting small but impactful subsets, offers a promising way to efficiently scale NLP model training. However, existing methods often involve many different design c…
Burn After Reading: Do Multimodal Large Language Models Truly Capture Order of Events in Image Sequences?
Yingjin Song, Yupei Du, Denis Paperno +1
This paper introduces the TempVS benchmark, which focuses on temporal grounding and reasoning capabilities of Multimodal Large Language Models (MLLMs) in image sequences. TempVS co…
Context-aware Visual Storytelling with Visual Prefix Tuning and Contrastive Learning
Yingjin Song, Denis Paperno, Albert Gatt
Visual storytelling systems generate multi-sentence stories from image sequences. In this task, capturing contextual information and bridging visual variation bring additional chal…
Modelling Emotion Dynamics in Song Lyrics with State Space Models
Yingjin Song, Daniel Beck
Most previous work in music emotion recognition assumes a single or a few song-level labels for the whole song. While it is known that different emotions can vary in intensity with…