Emotion recognition has recently attracted extensive interest due to its significant
applications to human-computer interaction. The expression of human emotion depends on …

We present NusaCrowd, a collaborative initiative to collect and unify existing resources for
Indonesian languages, including opening access to previously non-public resources …

NLP research is impeded by a lack of resources and awareness of the challenges presented
by underrepresented languages and dialects. Focusing on the languages spoken in …

多模态情感识别是指通过与人类情感表达相关的语音, 视觉, 文本等不同模态信息来识别人的
情感状态. 该研究在人机交互, 人工智能, 情感计算等领域有着重要的研究意义, 备受研究者关注 …

Object hallucination poses a significant challenge in vision-language (VL) models, often
leading to the generation of nonsensical or unfaithful responses with non-existent objects …

Methods for detecting emotions that employ many modalities at the same time have been
found to be more accurate and resilient than those that rely on a single sense. This is due to …

Multimodal abstractive summarization (MAS) models that summarize videos (vision
modality) and their corresponding transcripts (text modality) are able to extract the essential …

M-SENA is an open-sourced platform for Multimodal Sentiment Analysis. It aims to facilitate
advanced research by providing flexible toolkits, reliable benchmarks, and intuitive …

Abstract Multimodal Emotion Recognition in Multiparty Conversations (MERMC) has
recently attracted considerable attention. Due to the complexity of visual scenes in multi …

Understanding and identifying emotional cues in human speech is a crucial aspect of
human–computer communication. The application of computer technology in dissecting and …