73 citations · 170 across the 9 of their papers we have counts for
9 papers
Unsupervised Multimodal Intent Discovery via MLLM-Guided Concept Generation and Semantic Propagation
Yunjin Gu, Qianrui Zhou, Hua Xu
Unsupervised multimodal intent discovery aims to uncover latent intents from unlabeled multimodal dialogues, but remains challenging due to the lack of explicit semantic supervisio…
Evolutionary Multimodal Reasoning via Hierarchical Semantic Representation for Intent Recognition
Qianrui Zhou, Hua Xu, Yunjin Gu +3
Multimodal intent recognition aims to infer human intents by jointly modeling various modalities, playing a pivotal role in real-world dialogue systems. However, current methods st…
LLM-Guided Semantic Relational Reasoning for Multimodal Intent Recognition
Qianrui Zhou, Hua Xu, Yifan Wang +2
Understanding human intents from multimodal signals is critical for analyzing human behaviors and enhancing human-machine interactions in real-world scenarios. However, existing me…
Multimodal Classification and Out-of-distribution Detection for Multimodal Intent Understanding
Hanlei Zhang, Qianrui Zhou, Hua Xu +3
Multimodal intent understanding is a significant research area that requires effective leveraging of multiple modalities to analyze human language. Existing methods face two main c…
MIntRec2.0: A Large-scale Benchmark Dataset for Multimodal Intent Recognition and Out-of-scope Detection in Conversations
Hanlei Zhang, Xin Wang, Hua Xu +6
Multimodal intent recognition poses significant challenges, requiring the incorporation of non-verbal modalities from real-world contexts to enhance the comprehension of human inte…
Token-Level Contrastive Learning with Modality-Aware Prompting for Multimodal Intent Recognition
Qianrui Zhou, Hua Xu, Hao Li +4
Multimodal intent recognition aims to leverage diverse modalities such as expressions, body movements and tone of speech to comprehend user's intent, constituting a critical task f…
MIntRec: A New Dataset for Multimodal Intent Recognition
Hanlei Zhang, Hua Xu, Xin Wang +3
Multimodal intent recognition is a significant task for understanding human language in real-world multimodal scenes. Most existing intent recognition methods have limitations in l…
Learning Discriminative Representations and Decision Boundaries for Open Intent Detection
Hanlei Zhang, Hua Xu, Shaojie Zhao +1
Open intent detection is a significant problem in natural language understanding, which aims to identify the unseen open intent while ensuring known intent identification performan…
OpenAttack: An Open-source Textual Adversarial Attack Toolkit
Guoyang Zeng, Fanchao Qi, Qianrui Zhou +6
Textual adversarial attacking has received wide and increasing attention in recent years. Various attack models have been proposed, which are enormously distinct and implemented wi…