Better Safe Than Sorry? Overreaction Problem of Vision Language Models in Visual Emergency Recognition
Fuente:
arXiv
Saved in:
| Main Authors: | Choi, Dasol, Lee, Seunghyun, Song, Youngsook |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
What Users Leave Unsaid: Under-Specified Queries Limit Vision-Language Models
by: Choi, Dasol, et al.
Published: (2026)
by: Choi, Dasol, et al.
Published: (2026)
VLind-Bench: Measuring Language Priors in Large Vision-Language Models
by: Lee, Kang-il, et al.
Published: (2024)
by: Lee, Kang-il, et al.
Published: (2024)
Distribution-Level Feature Distancing for Machine Unlearning: Towards a Better Trade-off Between Model Utility and Forgetting
by: Choi, Dasol, et al.
Published: (2024)
by: Choi, Dasol, et al.
Published: (2024)
Better Language Models Exhibit Higher Visual Alignment
by: Ruthardt, Jona, et al.
Published: (2024)
by: Ruthardt, Jona, et al.
Published: (2024)
Bridging the Missing-Modality Gap: Improving Text-Only Calibration of Vision Language Models
by: Kim, Mingyeong, et al.
Published: (2026)
by: Kim, Mingyeong, et al.
Published: (2026)
Delve into Visual Contrastive Decoding for Hallucination Mitigation of Large Vision-Language Models
by: Lee, Yi-Lun, et al.
Published: (2024)
by: Lee, Yi-Lun, et al.
Published: (2024)
On Epistemic Uncertainty of Visual Tokens for Object Hallucinations in Large Vision-Language Models
by: Seo, Hoigi, et al.
Published: (2025)
by: Seo, Hoigi, et al.
Published: (2025)
VisionZip: Longer is Better but Not Necessary in Vision Language Models
by: Yang, Senqiao, et al.
Published: (2024)
by: Yang, Senqiao, et al.
Published: (2024)
Toward Automatic Safe Driving Instruction: A Large-Scale Vision Language Model Approach
by: Sakajo, Haruki, et al.
Published: (2025)
by: Sakajo, Haruki, et al.
Published: (2025)
GSM8K-V: Can Vision Language Models Solve Grade School Math Word Problems in Visual Contexts
by: Yuan, Fan, et al.
Published: (2025)
by: Yuan, Fan, et al.
Published: (2025)
ViPER: Empowering the Self-Evolution of Visual Perception Abilities in Vision-Language Model
by: Zhang, Juntian, et al.
Published: (2025)
by: Zhang, Juntian, et al.
Published: (2025)
Safe-CLIP: Removing NSFW Concepts from Vision-and-Language Models
by: Poppi, Samuele, et al.
Published: (2023)
by: Poppi, Samuele, et al.
Published: (2023)
Autoregressive Semantic Visual Reconstruction Helps VLMs Understand Better
by: Wang, Dianyi, et al.
Published: (2025)
by: Wang, Dianyi, et al.
Published: (2025)
VisionGraph: Leveraging Large Multimodal Models for Graph Theory Problems in Visual Context
by: Li, Yunxin, et al.
Published: (2024)
by: Li, Yunxin, et al.
Published: (2024)
Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models
by: Woo, Sangmin, et al.
Published: (2025)
by: Woo, Sangmin, et al.
Published: (2025)
Diagnosing Bottlenecks in Data Visualization Understanding by Vision-Language Models
by: Tartaglini, Alexa R., et al.
Published: (2025)
by: Tartaglini, Alexa R., et al.
Published: (2025)
Can Vision-Language Models Solve Visual Math Equations?
by: Choudhury, Monjoy Narayan, et al.
Published: (2025)
by: Choudhury, Monjoy Narayan, et al.
Published: (2025)
WildVision: Evaluating Vision-Language Models in the Wild with Human Preferences
by: Lu, Yujie, et al.
Published: (2024)
by: Lu, Yujie, et al.
Published: (2024)
Is Pre-training Truly Better Than Meta-Learning?
by: Miranda, Brando, et al.
Published: (2023)
by: Miranda, Brando, et al.
Published: (2023)
V2P-Bench: Evaluating Video-Language Understanding with Visual Prompts for Better Human-Model Interaction
by: Zhao, Yiming, et al.
Published: (2025)
by: Zhao, Yiming, et al.
Published: (2025)
Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration
by: Wang, Jun, et al.
Published: (2026)
by: Wang, Jun, et al.
Published: (2026)
When Cars Have Stereotypes: Auditing Demographic Bias in Objects from Text-to-Image Models
by: Choi, Dasol, et al.
Published: (2025)
by: Choi, Dasol, et al.
Published: (2025)
HAWAII: Hierarchical Visual Knowledge Transfer for Efficient Vision-Language Models
by: Wang, Yimu, et al.
Published: (2025)
by: Wang, Yimu, et al.
Published: (2025)
To Sink or Not to Sink: Visual Information Pathways in Large Vision-Language Models
by: Luo, Jiayun, et al.
Published: (2025)
by: Luo, Jiayun, et al.
Published: (2025)
Bootstrapping Action-Grounded Visual Dynamics in Unified Vision-Language Models
by: Qiu, Yifu, et al.
Published: (2025)
by: Qiu, Yifu, et al.
Published: (2025)
Efficient Vision-Language Models by Summarizing Visual Tokens into Compact Registers
by: Wen, Yuxin, et al.
Published: (2024)
by: Wen, Yuxin, et al.
Published: (2024)
KorMedMCQA-V: A Multimodal Benchmark for Evaluating Vision-Language Models on the Korean Medical Licensing Examination
by: Choi, Byungjin, et al.
Published: (2026)
by: Choi, Byungjin, et al.
Published: (2026)
Index-Preserving Lightweight Token Pruning for Efficient Document Understanding in Vision-Language Models
by: Son, Jaemin, et al.
Published: (2025)
by: Son, Jaemin, et al.
Published: (2025)
ERGO: Efficient High-Resolution Visual Understanding for Vision-Language Models
by: Lee, Jewon, et al.
Published: (2025)
by: Lee, Jewon, et al.
Published: (2025)
Do Visual Imaginations Improve Vision-and-Language Navigation Agents?
by: Perincherry, Akhil, et al.
Published: (2025)
by: Perincherry, Akhil, et al.
Published: (2025)
Mitigating Multilingual Hallucination in Large Vision-Language Models
by: Qu, Xiaoye, et al.
Published: (2024)
by: Qu, Xiaoye, et al.
Published: (2024)
Rethinking Visual Attribution for Chest X-ray Reasoning in Large Vision Language Models
by: Xiong, Guangzhi, et al.
Published: (2026)
by: Xiong, Guangzhi, et al.
Published: (2026)
Mitigating Hallucinations in Large Vision-Language Models via Summary-Guided Decoding
by: Min, Kyungmin, et al.
Published: (2024)
by: Min, Kyungmin, et al.
Published: (2024)
Why Vision Language Models Struggle with Visual Arithmetic? Towards Enhanced Chart and Geometry Understanding
by: Huang, Kung-Hsiang, et al.
Published: (2025)
by: Huang, Kung-Hsiang, et al.
Published: (2025)
Think Visually, Reason Textually: Vision-Language Synergy in ARC
by: Zhang, Beichen, et al.
Published: (2025)
by: Zhang, Beichen, et al.
Published: (2025)
Designing Practical Models for Isolated Word Visual Speech Recognition
by: Panagos, Iason Ioannis, et al.
Published: (2025)
by: Panagos, Iason Ioannis, et al.
Published: (2025)
Large Language Models can Share Images, Too!
by: Lee, Young-Jun, et al.
Published: (2023)
by: Lee, Young-Jun, et al.
Published: (2023)
SyncVSR: Data-Efficient Visual Speech Recognition with End-to-End Crossmodal Audio Token Synchronization
by: Ahn, Young Jin, et al.
Published: (2024)
by: Ahn, Young Jin, et al.
Published: (2024)
DynaMath: A Dynamic Visual Benchmark for Evaluating Mathematical Reasoning Robustness of Vision Language Models
by: Zou, Chengke, et al.
Published: (2024)
by: Zou, Chengke, et al.
Published: (2024)
Losing Visual Needles in Image Haystacks: Vision Language Models are Easily Distracted in Short and Long Contexts
by: Sharma, Aditya, et al.
Published: (2024)
by: Sharma, Aditya, et al.
Published: (2024)
Similar Items
-
What Users Leave Unsaid: Under-Specified Queries Limit Vision-Language Models
by: Choi, Dasol, et al.
Published: (2026) -
VLind-Bench: Measuring Language Priors in Large Vision-Language Models
by: Lee, Kang-il, et al.
Published: (2024) -
Distribution-Level Feature Distancing for Machine Unlearning: Towards a Better Trade-off Between Model Utility and Forgetting
by: Choi, Dasol, et al.
Published: (2024) -
Better Language Models Exhibit Higher Visual Alignment
by: Ruthardt, Jona, et al.
Published: (2024) -
Bridging the Missing-Modality Gap: Improving Text-Only Calibration of Vision Language Models
by: Kim, Mingyeong, et al.
Published: (2026)