24 citations · 50 across the 29 of their papers we have counts for
6 papers · 1 filter
Vision-Language Models under Cultural and Inclusive Considerations
Antonia Karamolegkou, Phillip Rust, Yong Cao +3
Large vision-language models (VLMs) can assist visually impaired people by describing images from their daily lives. Current evaluation datasets may not reflect diverse cultural us…
FoodieQA: A Multimodal Dataset for Fine-Grained Understanding of Chinese Food Culture
Wenyan Li, Xinyu Zhang, Jiaang Li +9
Food is a rich and varied dimension of cultural heritage, crucial to both individuals and social groups. To bridge the gap in the literature on the often-overlooked regional divers…
Does Mapo Tofu Contain Coffee? Probing LLMs for Food-related Cultural Knowledge
Li Zhou, Taelin Karidi, Wanlong Liu +5
Recent studies have highlighted the presence of cultural biases in Large Language Models (LLMs), yet often lack a robust methodology to dissect these phenomena comprehensively. Our…
UniMEEC: Towards Unified Multimodal Emotion Recognition and Emotion Cause
Guimin Hu, Zhihong Zhu, Daniel Hershcovich +3
Multimodal emotion recognition in conversation (MERC) and multimodal emotion-cause pair extraction (MECPE) have recently garnered significant attention. Emotions are the expression…
Exploring Visual Culture Awareness in GPT-4V: A Comprehensive Probing
Yong Cao, Wenyan Li, Jiaang Li +3
Pretrained large Vision-Language models have drawn considerable interest in recent years due to their remarkable performance. Despite considerable efforts to assess these models fr…
Bridging Cultural Nuances in Dialogue Agents through Cultural Value Surveys
Yong Cao, Min Chen, Daniel Hershcovich
The cultural landscape of interactions with dialogue agents is a compelling yet relatively unexplored territory. It's clear that various sociocultural aspects -- from communication…