Multimodal intent recognition (MIR) aims to perceive the human intent polarity via language
visual and acoustic modalities. The inherent intent ambiguity makes it challenging to …

Social media sites have become a popular platform for individuals to seek and share health
information. Despite the progress in natural language processing for social media mining, a …

Linguistic steganalysis (LS) tasks aim to detect whether a text contains secret information.
Existing LS methods focus on the deep-learning model design and they achieve excellent …

The ability to perform complex reasoning across multimodal inputs is essential for models to
effectively interact with humans in real-world scenarios. Advancements in vision-language …

People often answer yes-no questions without explicitly saying yes, no, or similar polar
keywords. Figuring out the meaning of indirect answers is challenging, even for large …

Increasingly, individuals are seeking social support through online, which can significantly
improve both mental and physical well-being. However, inadequate or misaligned support …