Query-Focused Meeting Summarization (QFMS) aims to generate a summary of...
Instruction-tuned large language models (LLMs) have shown remarkable
gen...
This paper proposes a framework for quantitatively evaluating interactiv...
We present NusaCrowd, a collaborative initiative to collect and unite
ex...
Dialogue systems can leverage large pre-trained language models and know...
Developing robust and fair AI systems require datasets with comprehensiv...
Many NLP classification tasks, such as sexism/racism detection or toxici...
With the rise of deep learning and intelligent vehicles, the smart assis...
Considerable advancements have been made in various NLP tasks based on t...
Self-supervised pre-training methods have brought remarkable breakthroug...
Media framing bias can lead to increased political polarization, and thu...
Code-switching is a speech phenomenon when a speaker switches language d...
Multimodal abstractive summarization (MAS) models that summarize videos
...
Query focused summarization (QFS) models aim to generate summaries from
...
State-of-the-art abstractive summarization models generally rely on exte...
Cross-domain named entity recognition (NER) models are able to cope with...
Lay summarization aims to generate lay summaries of scientific papers
au...
Multi-hop Question Generation (QG) aims to generate answer-related quest...
Despite the recent achievements made in the multi-modal emotion recognit...
To address the need for refined information in COVID-19 pandemic, we pro...
Nowadays, offensive content in social media has become a serious problem...