3 papers
cs.CV2026
AffectVerse: Emotional World Models for Multimodal Affective Computing
Bo Zhao, Fanghua Ye, Yixin Ji +3
Humans infer emotions by integrating observed multimodal cues with expectations about how affective states may unfold. Existing multimodal large language models (MLLMs), however, o…
cs.AI2025
Conversational Education at Scale: A Multi-LLM Agent Workflow for Procedural Learning and Pedagogic Quality Assessment
Jiahuan Pei, Fanghua Ye, Xin Sun +3
Large language models (LLMs) have advanced virtual educators and learners, bridging NLP with AI4Education. Existing work often lacks scalability and fails to leverage diverse, larg…
cs.CL2024
Autonomous Workflow for Multimodal Fine-Grained Training Assistants Towards Mixed Reality
Jiahuan Pei, Irene Viola, Haochen Huang +9
Autonomous artificial intelligence (AI) agents have emerged as promising protocols for automatically understanding the language-based environment, particularly with the exponential…