A Gaze-grounded Visual Question Answering Dataset for Clarifying Ambiguous Japanese Questions
Fuente:
arXiv
Saved in:
| Main Authors: | Inadumi, Shun, Kawano, Seiya, Yuguchi, Akishige, Kawanishi, Yasutomo, Yoshino, Koichiro |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
J-CRe3: A Japanese Conversation Dataset for Real-world Reference Resolution
by: Ueda, Nobuhiro, et al.
Published: (2024)
by: Ueda, Nobuhiro, et al.
Published: (2024)
VQA-MHUG: A Gaze Dataset to Study Multimodal Neural Attention in Visual Question Answering
by: Sood, Ekta, et al.
Published: (2021)
by: Sood, Ekta, et al.
Published: (2021)
VAGUE: Visual Contexts Clarify Ambiguous Expressions
by: Nam, Heejeong, et al.
Published: (2024)
by: Nam, Heejeong, et al.
Published: (2024)
Selectively Answering Visual Questions
by: Eisenschlos, Julian Martin, et al.
Published: (2024)
by: Eisenschlos, Julian Martin, et al.
Published: (2024)
ChitroJera: A Regionally Relevant Visual Question Answering Dataset for Bangla
by: Barua, Deeparghya Dutta, et al.
Published: (2024)
by: Barua, Deeparghya Dutta, et al.
Published: (2024)
Disambiguating Reference in Visually Grounded Dialogues through Joint Modeling of Textual and Multimodal Semantic Structures
by: Inadumi, Shun, et al.
Published: (2025)
by: Inadumi, Shun, et al.
Published: (2025)
How Good LLMs Are at Answering Bangla Medical Visual Questions? Dataset and Benchmarking
by: Ahmed, Rafid, et al.
Published: (2026)
by: Ahmed, Rafid, et al.
Published: (2026)
AQuA: Toward Strategic Response Generation for Ambiguous Visual Questions
by: Jang, Jihyoung, et al.
Published: (2026)
by: Jang, Jihyoung, et al.
Published: (2026)
PDF-MVQA: A Dataset for Multimodal Information Retrieval in PDF-based Visual Question Answering
by: Ding, Yihao, et al.
Published: (2024)
by: Ding, Yihao, et al.
Published: (2024)
GeReA: Question-Aware Prompt Captions for Knowledge-based Visual Question Answering
by: Ma, Ziyu, et al.
Published: (2024)
by: Ma, Ziyu, et al.
Published: (2024)
Asking Multimodal Clarifying Questions in Mixed-Initiative Conversational Search
by: Yuan, Yifei, et al.
Published: (2024)
by: Yuan, Yifei, et al.
Published: (2024)
CommVQA: Situating Visual Question Answering in Communicative Contexts
by: Naik, Nandita Shankar, et al.
Published: (2024)
by: Naik, Nandita Shankar, et al.
Published: (2024)
Multimodal Integration of Human-Like Attention in Visual Question Answering
by: Sood, Ekta, et al.
Published: (2021)
by: Sood, Ekta, et al.
Published: (2021)
Advancing Vietnamese Visual Question Answering with Transformer and Convolutional Integration
by: Nguyen, Ngoc Son, et al.
Published: (2024)
by: Nguyen, Ngoc Son, et al.
Published: (2024)
SciPostGen: Bridging the Gap between Scientific Papers and Poster Layouts
by: Inadumi, Shun, et al.
Published: (2025)
by: Inadumi, Shun, et al.
Published: (2025)
Multi-View Video-Based Learning: Leveraging Weak Labels for Frame-Level Perception
by: John, Vijay, et al.
Published: (2024)
by: John, Vijay, et al.
Published: (2024)
Hallucination Benchmark in Medical Visual Question Answering
by: Wu, Jinge, et al.
Published: (2024)
by: Wu, Jinge, et al.
Published: (2024)
Bangla-Bayanno: A 52K-Pair Bengali Visual Question Answering Dataset with LLM-Assisted Translation Refinement
by: Hasan, Mohammed Rakibul, et al.
Published: (2025)
by: Hasan, Mohammed Rakibul, et al.
Published: (2025)
Computed Tomography Visual Question Answering with Cross-modal Feature Graphing
by: Tian, Yuanhe, et al.
Published: (2025)
by: Tian, Yuanhe, et al.
Published: (2025)
Large Vision-Language Models for Remote Sensing Visual Question Answering
by: Siripong, Surasakdi, et al.
Published: (2024)
by: Siripong, Surasakdi, et al.
Published: (2024)
Design as Desired: Utilizing Visual Question Answering for Multimodal Pre-training
by: Su, Tongkun, et al.
Published: (2024)
by: Su, Tongkun, et al.
Published: (2024)
Investigating Prompting Techniques for Zero- and Few-Shot Visual Question Answering
by: Awal, Rabiul, et al.
Published: (2023)
by: Awal, Rabiul, et al.
Published: (2023)
AIM: Asymmetric Information Masking for Visual Question Answering Continual Learning
by: Zhang, Peifeng, et al.
Published: (2026)
by: Zhang, Peifeng, et al.
Published: (2026)
Overcoming Language Priors for Visual Question Answering Based on Knowledge Distillation
by: Peng, Daowan, et al.
Published: (2025)
by: Peng, Daowan, et al.
Published: (2025)
Natural Language Understanding and Inference with MLLM in Visual Question Answering: A Survey
by: Kuang, Jiayi, et al.
Published: (2024)
by: Kuang, Jiayi, et al.
Published: (2024)
DermaBench: A Clinician-Annotated Benchmark Dataset for Dermatology Visual Question Answering and Reasoning
by: Yilmaz, Abdurrahim, et al.
Published: (2026)
by: Yilmaz, Abdurrahim, et al.
Published: (2026)
SPIQA: A Dataset for Multimodal Question Answering on Scientific Papers
by: Pramanick, Shraman, et al.
Published: (2024)
by: Pramanick, Shraman, et al.
Published: (2024)
LaPA: Latent Prompt Assist Model For Medical Visual Question Answering
by: Gu, Tiancheng, et al.
Published: (2024)
by: Gu, Tiancheng, et al.
Published: (2024)
Fusion of Domain-Adapted Vision and Language Models for Medical Visual Question Answering
by: Ha, Cuong Nhat, et al.
Published: (2024)
by: Ha, Cuong Nhat, et al.
Published: (2024)
Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports
by: Serra, Francesco Dalla, et al.
Published: (2025)
by: Serra, Francesco Dalla, et al.
Published: (2025)
Towards Perceiving Small Visual Details in Zero-shot Visual Question Answering with Multimodal LLMs
by: Zhang, Jiarui, et al.
Published: (2023)
by: Zhang, Jiarui, et al.
Published: (2023)
DEJIMA: A Novel Large-scale Japanese Dataset for Image Captioning and Visual Question Answering
by: Katsube, Toshiki, et al.
Published: (2025)
by: Katsube, Toshiki, et al.
Published: (2025)
Generalizing Visual Question Answering from Synthetic to Human-Written Questions via a Chain of QA with a Large Language Model
by: Kim, Taehee, et al.
Published: (2024)
by: Kim, Taehee, et al.
Published: (2024)
Integrating Image Features with Convolutional Sequence-to-sequence Network for Multilingual Visual Question Answering
by: Thai, Triet Minh, et al.
Published: (2023)
by: Thai, Triet Minh, et al.
Published: (2023)
MOTOR: Multimodal Optimal Transport via Grounded Retrieval in Medical Visual Question Answering
by: Shaaban, Mai A., et al.
Published: (2025)
by: Shaaban, Mai A., et al.
Published: (2025)
Relevance-aware Multi-context Contrastive Decoding for Retrieval-augmented Visual Question Answering
by: Kim, Jongha, et al.
Published: (2026)
by: Kim, Jongha, et al.
Published: (2026)
LOVA3: Learning to Visual Question Answering, Asking and Assessment
by: Zhao, Henry Hengyuan, et al.
Published: (2024)
by: Zhao, Henry Hengyuan, et al.
Published: (2024)
RadImageNet-VQA: A Large-Scale CT and MRI Dataset for Radiologic Visual Question Answering
by: Butsanets, Léo, et al.
Published: (2025)
by: Butsanets, Léo, et al.
Published: (2025)
A Two-Stage Multitask Vision-Language Framework for Explainable Crop Disease Visual Question Answering
by: Hossain, Md. Zahid, et al.
Published: (2026)
by: Hossain, Md. Zahid, et al.
Published: (2026)
Barriers in Integrating Medical Visual Question Answering into Radiology Workflows: A Scoping Review and Clinicians' Insights
by: Mishra, Deepali, et al.
Published: (2025)
by: Mishra, Deepali, et al.
Published: (2025)
Similar Items
-
J-CRe3: A Japanese Conversation Dataset for Real-world Reference Resolution
by: Ueda, Nobuhiro, et al.
Published: (2024) -
VQA-MHUG: A Gaze Dataset to Study Multimodal Neural Attention in Visual Question Answering
by: Sood, Ekta, et al.
Published: (2021) -
VAGUE: Visual Contexts Clarify Ambiguous Expressions
by: Nam, Heejeong, et al.
Published: (2024) -
Selectively Answering Visual Questions
by: Eisenschlos, Julian Martin, et al.
Published: (2024) -
ChitroJera: A Regionally Relevant Visual Question Answering Dataset for Bangla
by: Barua, Deeparghya Dutta, et al.
Published: (2024)