3 papers
cs.CL2025
Structured Prompting and LLM Ensembling for Multimodal Conversational Aspect-based Sentiment Analysis
Zhiqiang Gao, Shihao Gao, Zixing Zhang +3
Understanding sentiment in multimodal conversations is a complex yet crucial challenge toward building emotionally intelligent AI systems. The Multimodal Conversational Aspect-base…
cs.HC2025
Pioneering Multimodal Emotion Recognition in the Era of Large Models: From Closed Sets to Open Vocabularies
Jing Han, Zhiqiang Gao, Shihao Gao +4
Recent advances in multimodal large language models (MLLMs) have demonstrated remarkable multi- and cross-modal integration capabilities. However, their potential for fine-grained…
cs.CL2025
DEBATE: A Dataset for Disentangling Textual Ambiguity in Mandarin Through Speech
Haotian Guo, Jing Han, Yongfeng Tu +5
Despite extensive research on textual and visual disambiguation, disambiguation through speech (DTS) remains underexplored. This is largely due to the lack of high-quality datasets…