Knowledge editing aims to change language models' performance on several...
Multi-modal knowledge graphs (MMKGs) combine different modal data (e.g.,...
Constructing commonsense knowledge graphs (CKGs) has attracted wide rese...
Many-to-many multimodal summarization (M^3S) task aims to generate
summa...
To adapt text summarization to the multilingual world, previous work pro...
Existing neural machine translation (NMT) studies mainly focus on develo...
Recently, graph pre-training has attracted wide research attention, whic...
Recently, the emergence of ChatGPT has attracted wide attention from the...
Given a document in a source language, cross-lingual summarization (CLS)...
The goal of multimodal abstractive summarization (MAS) is to produce a
c...
Given a document in a source language, cross-lingual summarization (CLS)...
Cross-Lingual Summarization (CLS) aims at generating summaries in one
la...
Reference Expression Generation (REG) and Comprehension (REC) are two hi...
Sports game summarization aims to generate sports news based on real-tim...
Grounding dialogue system with external knowledge is a promising way to
...
Cross-lingual summarization is the task of generating a summary in one
l...
We present ClidSum, a benchmark dataset for building cross-lingual
summa...
Story ending generation is an interesting and challenging task, which ai...
Sports game summarization aims at generating sports news from live
comme...
Sports game summarization aims to generate news articles from live text
...
Considering the importance of building a good Visual Dialog (VD) Questio...
We discuss a novel task, Chorus Recognition, which could potentially ben...