1 citations · 2 across the 7 of their papers we have counts for
7 papers
EXAM2: Extending Audio Understanding in Multilingual and Multimodal Analysis
Jiawen Wang, Xiaoxue Gao, Zi Haur Pang +1
Recent large audio language models (LALMs) have achieved impressive progress in audio understanding. However, existing evaluations remain largely constrained to English and narrow…
Towards Closed-Loop Embodied Empathy Evolution: Probing LLM-Centric Lifelong Empathic Motion Generation in Unseen Scenarios
Jiawen Wang, Jingjing Wang Tianyang Chen, Min Zhang +1
In the literature, existing human-centric emotional motion generation methods primarily focus on boosting performance within a single scale-fixed dataset, largely neglecting the fl…
MLLMs are Deeply Affected by Modality Bias
Xu Zheng, Chenfei Liao, Yuqian Fu +15
Recent advances in Multimodal Large Language Models (MLLMs) have shown promising results in integrating diverse modalities such as texts and images. MLLMs are heavily influenced by…
Toward Super Agent System with Hybrid AI Routers
Yuhang Yao, Haixin Wang, Yibo Chen +5
AI Agents powered by Large Language Models are transforming the world through enormous applications. A super agent has the potential to fulfill diverse user needs, such as summariz…
MemorySAM: Memorize Modalities and Semantics with Segment Anything Model 2 for Multi-modal Semantic Segmentation
Chenfei Liao, Xu Zheng, Yuanhuiyi Lyu +5
Research has focused on Multi-Modal Semantic Segmentation (MMSS), where pixel-wise predictions are derived from multiple visual modalities captured by diverse sensors. Recently, th…
MultiClimate: Multimodal Stance Detection on Climate Change Videos
Jiawen Wang, Longfei Zuo, Siyao Peng +1
Climate change (CC) has attracted increasing attention in NLP in recent years. However, detecting the stance on CC in multimodal data is understudied and remains challenging due to…
GiMeFive: Towards Interpretable Facial Emotion Classification
Jiawen Wang, Leah Kawka
Deep convolutional neural networks have been shown to successfully recognize facial emotions for the past years in the realm of computer vision. However, the existing detection app…