48 citations · 82 across the 5 of their papers we have counts for
5 papers
Multimodal Large Language Models for End-to-End Affective Computing: Benchmarking and Boosting with Generative Knowledge Prompting
Miaosen Luo, Jiesen Long, Zequn Li +3
Multimodal Affective Computing (MAC) aims to recognize and interpret human emotions by integrating information from diverse modalities such as text, video, and audio. Recent advanc…
UBARv2: Towards Mitigating Exposure Bias in Task-Oriented Dialogs
Yunyi Yang, Hong Ding, Qingyi Liu +1
This paper studies the exposure bias problem in task-oriented dialog systems, where the model's generated content over multiple turns drives the dialog context away from the ground…
Towards Building an Open-Domain Dialogue System Incorporated with Internet Memes
Hua Lu, Zhen Guo, Chanjuan Li +3
In recent years, Internet memes have been widely used in online chatting. Compared with text-based communication, conversations become more expressive and attractive when Internet…
UBAR: Towards Fully End-to-End Task-Oriented Dialog Systems with GPT-2
Yunyi Yang, Yunhao Li, Xiaojun Quan
This paper presents our task-oriented dialog system UBAR which models task-oriented dialogs on a dialog session level. Specifically, UBAR is acquired by fine-tuning the large pre-t…
Relational Graph Attention Network for Aspect-based Sentiment Analysis
Kai Wang, Weizhou Shen, Yunyi Yang +2
Aspect-based sentiment analysis aims to determine the sentiment polarity towards a specific aspect in online reviews. Most recent efforts adopt attention-based neural network model…