AutoVQA-G: Self-Improving Agentic Framework for Automated Visual Question Answering and Grounding Annotation
Fuente:
arXiv
Saved in:
| Main Authors: | Hu, Rongsheng, Guan, Runwei, Di, Yicheng, Bao, Jiayu, Liu, Yuan |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
RoadSceneVQA: Benchmarking Visual Question Answering in Roadside Perception Systems for Intelligent Transportation System
by: Guan, Runwei, et al.
Published: (2025)
by: Guan, Runwei, et al.
Published: (2025)
Visual Robustness Benchmark for Visual Question Answering (VQA)
by: Ishmam, Md Farhan, et al.
Published: (2024)
by: Ishmam, Md Farhan, et al.
Published: (2024)
BERT-VQA: Visual Question Answering on Plots
by: Vu, Tai, et al.
Published: (2025)
by: Vu, Tai, et al.
Published: (2025)
PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering
by: Zhang, Xiaoman, et al.
Published: (2023)
by: Zhang, Xiaoman, et al.
Published: (2023)
AutoViVQA: A Large-Scale Automatically Constructed Dataset for Vietnamese Visual Question Answering
by: Tuong, Nguyen Anh, et al.
Published: (2026)
by: Tuong, Nguyen Anh, et al.
Published: (2026)
StackOverflowVQA: Stack Overflow Visual Question Answering Dataset
by: Mirzaei, Motahhare, et al.
Published: (2024)
by: Mirzaei, Motahhare, 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)
VQA$^2$: Visual Question Answering for Video Quality Assessment
by: Jia, Ziheng, et al.
Published: (2024)
by: Jia, Ziheng, et al.
Published: (2024)
MaS-VQA: A Mask-and-Select Framework for Knowledge-Based Visual Question Answering
by: Mao, Xianwei, et al.
Published: (2026)
by: Mao, Xianwei, et al.
Published: (2026)
SurgViVQA: Temporally-Grounded Video Question Answering for Surgical Scene Understanding
by: Drago, Mauro Orazio, et al.
Published: (2025)
by: Drago, Mauro Orazio, et al.
Published: (2025)
DisasterVQA: A Visual Question Answering Benchmark Dataset for Disaster Scenes
by: Al-Mohannadi, Aisha, et al.
Published: (2026)
by: Al-Mohannadi, Aisha, et al.
Published: (2026)
MedXplain-VQA: Multi-Component Explainable Medical Visual Question Answering
by: Nguyen, Hai-Dang, et al.
Published: (2025)
by: Nguyen, Hai-Dang, et al.
Published: (2025)
Exploring the Application of Visual Question Answering (VQA) for Classroom Activity Monitoring
by: Vu, Sinh Trong, et al.
Published: (2025)
by: Vu, Sinh Trong, et al.
Published: (2025)
ProtoVQA: An Adaptable Prototypical Framework for Explainable Fine-Grained Visual Question Answering
by: Diao, Xingjian, et al.
Published: (2025)
by: Diao, Xingjian, et al.
Published: (2025)
Grounded Question-Answering in Long Egocentric Videos
by: Di, Shangzhe, et al.
Published: (2023)
by: Di, Shangzhe, et al.
Published: (2023)
WSI-VQA: Interpreting Whole Slide Images by Generative Visual Question Answering
by: Chen, Pingyi, et al.
Published: (2024)
by: Chen, Pingyi, et al.
Published: (2024)
Object-centric Video Question Answering with Visual Grounding and Referring
by: Wang, Haochen, et al.
Published: (2025)
by: Wang, Haochen, et al.
Published: (2025)
On the Role of Visual Grounding in VQA
by: Reich, Daniel, et al.
Published: (2024)
by: Reich, Daniel, et al.
Published: (2024)
ReasonVQA: A Multi-hop Reasoning Benchmark with Structural Knowledge for Visual Question Answering
by: Tran, Duong T., et al.
Published: (2025)
by: Tran, Duong T., et al.
Published: (2025)
PitVQA: Image-grounded Text Embedding LLM for Visual Question Answering in Pituitary Surgery
by: He, Runlong, et al.
Published: (2024)
by: He, Runlong, et al.
Published: (2024)
MacVQA: Adaptive Memory Allocation and Global Noise Filtering for Continual Visual Question Answering
by: Li, Zhifei, et al.
Published: (2026)
by: Li, Zhifei, et al.
Published: (2026)
Detect2Interact: Localizing Object Key Field in Visual Question Answering (VQA) with LLMs
by: Wang, Jialou, et al.
Published: (2024)
by: Wang, Jialou, et al.
Published: (2024)
RoboSurg-VQA: A Multimodal Benchmark for Surgical Segmentation-Aware Visual Question Answering
by: Zhang, Chengyi, et al.
Published: (2026)
by: Zhang, Chengyi, et al.
Published: (2026)
TableVQA-Bench: A Visual Question Answering Benchmark on Multiple Table Domains
by: Kim, Yoonsik, et al.
Published: (2024)
by: Kim, Yoonsik, et al.
Published: (2024)
FlowVQA: Mapping Multimodal Logic in Visual Question Answering with Flowcharts
by: Singh, Shubhankar, et al.
Published: (2024)
by: Singh, Shubhankar, et al.
Published: (2024)
Towards Signboard-Oriented Visual Question Answering: ViSignVQA Dataset, Method and Benchmark
by: Nguyen, Hieu Minh, et al.
Published: (2025)
by: Nguyen, Hieu Minh, et al.
Published: (2025)
LCV2: An Efficient Pretraining-Free Framework for Grounded Visual Question Answering
by: Chen, Yuhan, et al.
Published: (2024)
by: Chen, Yuhan, 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)
SCRA-VQA: Summarized Caption-Rerank for Augmented Large Language Models in Visual Question Answering
by: Zhang, Yan, et al.
Published: (2025)
by: Zhang, Yan, et al.
Published: (2025)
Adversarial Attacks on VQA-NLE: Exposing and Alleviating Inconsistencies in Visual Question Answering Explanations
by: Yeh, Yahsin, et al.
Published: (2025)
by: Yeh, Yahsin, et al.
Published: (2025)
UCSF-PDGM-VQA: Visual Question Answering dataset for brain tumor MRI interpretation
by: Ghosh, Shiv, et al.
Published: (2026)
by: Ghosh, Shiv, et al.
Published: (2026)
CC-VQA: Conflict- and Correlation-Aware Method for Mitigating Knowledge Conflict in Knowledge-Based Visual Question Answering
by: Hong, Yuyang, et al.
Published: (2026)
by: Hong, Yuyang, et al.
Published: (2026)
VeriSciQA: An Auto-Verified Dataset for Scientific Visual Question Answering
by: Li, Yuyi, et al.
Published: (2025)
by: Li, Yuyi, et al.
Published: (2025)
Measuring Faithful and Plausible Visual Grounding in VQA
by: Reich, Daniel, et al.
Published: (2023)
by: Reich, Daniel, et al.
Published: (2023)
GHR-VQA: Graph-guided Hierarchical Relational Reasoning for Video Question Answering
by: Brilli, Dionysia Danai, et al.
Published: (2025)
by: Brilli, Dionysia Danai, et al.
Published: (2025)
MUPA: Towards Multi-Path Agentic Reasoning for Grounded Video Question Answering
by: Dang, Jisheng, et al.
Published: (2025)
by: Dang, Jisheng, et al.
Published: (2025)
ViInfographicVQA: A Benchmark for Single and Multi-image Visual Question Answering on Vietnamese Infographics
by: Van-Dinh, Tue-Thu, et al.
Published: (2025)
by: Van-Dinh, Tue-Thu, et al.
Published: (2025)
CoralVQA: A Large-Scale Visual Question Answering Dataset for Coral Reef Image Understanding
by: Han, Hongyong, et al.
Published: (2025)
by: Han, Hongyong, et al.
Published: (2025)
M$^3$-VQA: A Benchmark for Multimodal, Multi-Entity, Multi-Hop Visual Question Answering
by: Ma, Jiatong, et al.
Published: (2026)
by: Ma, Jiatong, et al.
Published: (2026)
VSA4VQA: Scaling a Vector Symbolic Architecture to Visual Question Answering on Natural Images
by: Penzkofer, Anna, et al.
Published: (2024)
by: Penzkofer, Anna, et al.
Published: (2024)
Similar Items
-
RoadSceneVQA: Benchmarking Visual Question Answering in Roadside Perception Systems for Intelligent Transportation System
by: Guan, Runwei, et al.
Published: (2025) -
Visual Robustness Benchmark for Visual Question Answering (VQA)
by: Ishmam, Md Farhan, et al.
Published: (2024) -
BERT-VQA: Visual Question Answering on Plots
by: Vu, Tai, et al.
Published: (2025) -
PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering
by: Zhang, Xiaoman, et al.
Published: (2023) -
AutoViVQA: A Large-Scale Automatically Constructed Dataset for Vietnamese Visual Question Answering
by: Tuong, Nguyen Anh, et al.
Published: (2026)