INSIGHT: An Interpretable Neural Vision-Language Framework for Reasoning of Generative Artifacts
Fuente:
arXiv
Saved in:
| Main Author: | Bagaria, Anshul |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SynArtifact: Classifying and Alleviating Artifacts in Synthetic Images via Vision-Language Model
by: Cao, Bin, et al.
Published: (2024)
by: Cao, Bin, et al.
Published: (2024)
Web Artifact Attacks Disrupt Vision Language Models
by: Qraitem, Maan, et al.
Published: (2025)
by: Qraitem, Maan, et al.
Published: (2025)
Exploring the Zero-Shot Capabilities of Vision-Language Models for Improving Gaze Following
by: Gupta, Anshul, et al.
Published: (2024)
by: Gupta, Anshul, et al.
Published: (2024)
Eyes on VLM: Benchmarking Gaze Following and Social Gaze Prediction in Vision Language Models
by: Wang, Hengfei, et al.
Published: (2026)
by: Wang, Hengfei, et al.
Published: (2026)
INSIGHT: Enhancing Autonomous Driving Safety through Vision-Language Models on Context-Aware Hazard Detection and Edge Case Evaluation
by: Chen, Dianwei, et al.
Published: (2025)
by: Chen, Dianwei, et al.
Published: (2025)
Beyond Static Artifacts: A Forensic Benchmark for Video Deepfake Reasoning in Vision Language Models
by: Gu, Zheyuan, et al.
Published: (2026)
by: Gu, Zheyuan, et al.
Published: (2026)
Skyra: AI-Generated Video Detection via Grounded Artifact Reasoning
by: Li, Yifei, et al.
Published: (2025)
by: Li, Yifei, et al.
Published: (2025)
MTabVQA: Evaluating Multi-Tabular Reasoning of Language Models in Visual Space
by: Singh, Anshul, et al.
Published: (2025)
by: Singh, Anshul, et al.
Published: (2025)
Mirage: Unveiling Hidden Artifacts in Synthetic Images with Large Vision-Language Models
by: Sharma, Pranav, et al.
Published: (2025)
by: Sharma, Pranav, et al.
Published: (2025)
Unveiling Perceptual Artifacts: A Fine-Grained Benchmark for Interpretable AI-Generated Image Detection
by: Xiao, Yao, et al.
Published: (2026)
by: Xiao, Yao, et al.
Published: (2026)
Automated Motion Artifact Check for MRI (AutoMAC-MRI): An Interpretable Framework for Motion Artifact Detection and Severity Assessment
by: Jerald, Antony, et al.
Published: (2025)
by: Jerald, Antony, et al.
Published: (2025)
AgriChain Visually Grounded Expert Verified Reasoning for Interpretable Agricultural Vision Language Models
by: Mahmood, Hazza, et al.
Published: (2026)
by: Mahmood, Hazza, et al.
Published: (2026)
LVLM-Interpret: An Interpretability Tool for Large Vision-Language Models
by: Stan, Gabriela Ben Melech, et al.
Published: (2024)
by: Stan, Gabriela Ben Melech, et al.
Published: (2024)
NODE-Adapter: Neural Ordinary Differential Equations for Better Vision-Language Reasoning
by: Zhang, Yi, et al.
Published: (2024)
by: Zhang, Yi, et al.
Published: (2024)
Artifact-Bench: Evaluating MLLMs on Detecting and Assessing the Artifacts of AI-Generated Videos
by: Tang, Yuqi, et al.
Published: (2026)
by: Tang, Yuqi, et al.
Published: (2026)
Boosting the Generalization and Reasoning of Vision Language Models with Curriculum Reinforcement Learning
by: Deng, Huilin, et al.
Published: (2025)
by: Deng, Huilin, et al.
Published: (2025)
VisionGPT: Vision-Language Understanding Agent Using Generalized Multimodal Framework
by: Kelly, Chris, et al.
Published: (2024)
by: Kelly, Chris, et al.
Published: (2024)
Artifacts and Attention Sinks: Structured Approximations for Efficient Vision Transformers
by: Lu, Andrew, et al.
Published: (2025)
by: Lu, Andrew, et al.
Published: (2025)
Counting Circuits: Mechanistic Interpretability of Visual Reasoning in Large Vision-Language Models
by: Che, Liwei, et al.
Published: (2026)
by: Che, Liwei, et al.
Published: (2026)
X-Ray-CoT: Interpretable Chest X-ray Diagnosis with Vision-Language Models via Chain-of-Thought Reasoning
by: Ng, Chee, et al.
Published: (2025)
by: Ng, Chee, et al.
Published: (2025)
Vision-Language Memory for Spatial Reasoning
by: Liu, Zuntao, et al.
Published: (2025)
by: Liu, Zuntao, et al.
Published: (2025)
Language Model Guided Interpretable Video Action Reasoning
by: Wang, Ning, et al.
Published: (2024)
by: Wang, Ning, et al.
Published: (2024)
CollabVR: Collaborative Video Reasoning with Vision-Language and Video Generation Models
by: Kim, Joowon, et al.
Published: (2026)
by: Kim, Joowon, et al.
Published: (2026)
EgoMotion: Hierarchical Reasoning and Diffusion for Egocentric Vision-Language Motion Generation
by: Hou, Ruibing, et al.
Published: (2026)
by: Hou, Ruibing, et al.
Published: (2026)
Belief-Aware VLM Model for Human-like Reasoning
by: Nayak, Anshul, et al.
Published: (2026)
by: Nayak, Anshul, et al.
Published: (2026)
Interpretable 3D Neural Object Volumes for Robust Conceptual Reasoning
by: Pham, Nhi, et al.
Published: (2025)
by: Pham, Nhi, et al.
Published: (2025)
BioGait-VLM: A Tri-Modal Vision-Language-Biomechanics Framework for Interpretable Clinical Gait Assessment
by: Chen, Erdong, et al.
Published: (2026)
by: Chen, Erdong, et al.
Published: (2026)
ArtifactWorld: Scaling 3D Gaussian Splatting Artifact Restoration via Video Generation Models
by: Wang, Xinliang, et al.
Published: (2026)
by: Wang, Xinliang, et al.
Published: (2026)
Multi-Modal Interpretability for Enhanced Localization in Vision-Language Models
by: Imran, Muhammad, et al.
Published: (2025)
by: Imran, Muhammad, et al.
Published: (2025)
Interpretability Transfer from Language to Vision via Sparse Autoencoders
by: Kravets, Alexey, et al.
Published: (2026)
by: Kravets, Alexey, et al.
Published: (2026)
WeThink: Toward General-purpose Vision-Language Reasoning via Reinforcement Learning
by: Yang, Jie, et al.
Published: (2025)
by: Yang, Jie, et al.
Published: (2025)
Can Vision-Language Models Think from the Sky? Unifying UAV Reasoning and Generation
by: Sun, Jintao, et al.
Published: (2026)
by: Sun, Jintao, et al.
Published: (2026)
Learning by Correction: Efficient Tuning Task for Zero-Shot Generative Vision-Language Reasoning
by: Li, Rongjie, et al.
Published: (2024)
by: Li, Rongjie, et al.
Published: (2024)
Vision-G1: Towards General Vision Language Reasoning with Multi-Domain Data Curation
by: Zha, Yuheng, et al.
Published: (2025)
by: Zha, Yuheng, et al.
Published: (2025)
INSIGHT: Indoor Scene Intelligence from Geometric-Semantic Hierarchy Transfer for Public~Safety
by: Dimopoulos, Alexander Nikitas, et al.
Published: (2026)
by: Dimopoulos, Alexander Nikitas, et al.
Published: (2026)
A Reason-then-Describe Instruction Interpreter for Controllable Video Generation
by: Wu, Shengqiong, et al.
Published: (2025)
by: Wu, Shengqiong, et al.
Published: (2025)
Med-StepBench: A Hierarchical Reasoning Framework for Evaluating Hallucinations in Medical Vision-Language Models
by: Nguyen, Minh Khoi, et al.
Published: (2026)
by: Nguyen, Minh Khoi, et al.
Published: (2026)
DeepScan: A Training-Free Framework for Visually Grounded Reasoning in Large Vision-Language Models
by: Li, Yangfu, et al.
Published: (2026)
by: Li, Yangfu, et al.
Published: (2026)
Reasoning-VLA: A Fast and General Vision-Language-Action Reasoning Model for Autonomous Driving
by: Zhang, Dapeng, et al.
Published: (2025)
by: Zhang, Dapeng, et al.
Published: (2025)
FlightGPT: Towards Generalizable and Interpretable UAV Vision-and-Language Navigation with Vision-Language Models
by: Cai, Hengxing, et al.
Published: (2025)
by: Cai, Hengxing, et al.
Published: (2025)
Similar Items
-
SynArtifact: Classifying and Alleviating Artifacts in Synthetic Images via Vision-Language Model
by: Cao, Bin, et al.
Published: (2024) -
Web Artifact Attacks Disrupt Vision Language Models
by: Qraitem, Maan, et al.
Published: (2025) -
Exploring the Zero-Shot Capabilities of Vision-Language Models for Improving Gaze Following
by: Gupta, Anshul, et al.
Published: (2024) -
Eyes on VLM: Benchmarking Gaze Following and Social Gaze Prediction in Vision Language Models
by: Wang, Hengfei, et al.
Published: (2026) -
INSIGHT: Enhancing Autonomous Driving Safety through Vision-Language Models on Context-Aware Hazard Detection and Edge Case Evaluation
by: Chen, Dianwei, et al.
Published: (2025)