2 papers
cs.MM2026
Mitigating Multimodal Inconsistency via Cognitive Dual-Pathway Reasoning for Intent Recognition
Yifan Wang, Peiwu Wang, Yunxian Chi +2
Multimodal Intent Recognition (MIR) aims to understand complex user intentions by leveraging text, video, and audio signals. However, existing approaches face two key challenges: (…
cs.CL2025
Can Large Language Models Help Multimodal Language Analysis? MMLA: A Comprehensive Benchmark
Hanlei Zhang, Zhuohang Li, Yeshuang Zhu +5
Multimodal language analysis is a rapidly evolving field that leverages multiple modalities to enhance the understanding of high-level semantics underlying human conversational utt…