Is ChatGPT equipped with emotional dialogue capabilities?

W Zhao, Y Zhao, X Lu, S Wang, Y Tong… - arxiv preprint arxiv …, 2023 - arxiv.org
This report presents a study on the emotional dialogue capability of ChatGPT, an advanced
language model developed by OpenAI. The study evaluates the performance of ChatGPT on …

Towards interpretable mental health analysis with large language models

K Yang, S Ji, T Zhang, Q **e, Z Kuang… - arxiv preprint arxiv …, 2023 - arxiv.org
The latest large language models (LLMs) such as ChatGPT, exhibit strong capabilities in
automated mental health analysis. However, existing relevant studies bear several …

Supervised adversarial contrastive learning for emotion recognition in conversations

D Hu, Y Bao, L Wei, W Zhou, S Hu - arxiv preprint arxiv:2306.01505, 2023 - arxiv.org
Extracting generalized and robust representations is a major challenge in emotion
recognition in conversations (ERC). To address this, we propose a supervised adversarial …

[HTML][HTML] A survey of dialogic emotion analysis: Developments, approaches and perspectives

C Gan, J Zheng, Q Zhu, Y Cao, Y Zhu - Pattern Recognition, 2024 - Elsevier
Dialogic emotion analysis is an emerging and important research field in natural language
processing. It aims to understand and process emotions in various forms of dialogue, such …

Coco: Coherence-enhanced machine-generated text detection under data limitation with contrastive learning

X Liu, Z Zhang, Y Wang, H Pu, Y Lan… - arxiv preprint arxiv …, 2022 - arxiv.org
Machine-Generated Text (MGT) detection, a task that discriminates MGT from Human-
Written Text (HWT), plays a crucial role in preventing misuse of text generative models …

Coco: Coherence-enhanced machine-generated text detection under low resource with contrastive learning

X Liu, Z Zhang, Y Wang, H Pu, Y Lan… - Proceedings of the 2023 …, 2023 - aclanthology.org
Abstract Machine-Generated Text (MGT) detection, a task that discriminates MGT from
Human-Written Text (HWT), plays a crucial role in preventing misuse of text generative …

Recommendations for designing conversational companion robots with older adults through foundation models

B Irfan, S Kuoppamäki, G Skantze - Frontiers in Robotics and AI, 2024 - frontiersin.org
Companion robots are aimed to mitigate loneliness and social isolation among older adults
by providing social and emotional support in their everyday lives. However, older adults' …

Unisa: Unified generative framework for sentiment analysis

Z Li, TE Lin, Y Wu, M Liu, F Tang, M Zhao… - Proceedings of the 31st …, 2023 - dl.acm.org
Sentiment analysis is a crucial task that aims to understand people's emotional states and
predict emotional categories based on multimodal information. It consists of several …

Multimodal knowledge-enhanced interactive network with mixed contrastive learning for emotion recognition in conversation

X Shen, X Huang, S Zou, X Gan - Neurocomputing, 2024 - Elsevier
Abstract Emotion Recognition in Conversations (ERC) aims to accurately identify the
emotional labels of each utterance in a conversation, holding significant application value in …

Image-to-text conversion and aspect-oriented filtration for multimodal aspect-based sentiment analysis

Q Wang, H Xu, Z Wen, B Liang, M Yang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Multimodal aspect-based sentiment analysis (MABSA) aims to determine the sentiment
polarity of each aspect mentioned in the text based on multimodal content. Various …