Combining knowledge from diverse resources (e.g., audio, knowledge graph/ontology) to enhance LLMs
Detecting and mitigating LLM hallucinations
Assessing and mitigating bias in LLMs
Multimedia/multimodal dialogue systems
Interactive text visualization
Human-AI interaction and societal Impact
Fair AI and ML
Human-AI collaboration
Large-scale social media analytics
Building computational models of human traits (e.g., personality, needs, values, emotions, interests) and behavior (e.g., brand preferences, team collaboration and substance use)
Building computational tools to gain insight into our society (e.g., understand social biases)
