Saved in:
| Main Authors: | Hong, Rui, Quan, Shuxue |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.18373 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Have the VLMs Lost Confidence? A Study of Sycophancy in VLMs
by: Li, Shuo, et al.
Published: (2024)
by: Li, Shuo, et al.
Published: (2024)
Think Twice to See More: Iterative Visual Reasoning in Medical VLMs
by: Chen, Kaitao, et al.
Published: (2025)
by: Chen, Kaitao, et al.
Published: (2025)
Motion-Adaptive Temporal Attention for Lightweight Video Generation with Stable Diffusion
by: Hong, Rui, et al.
Published: (2026)
by: Hong, Rui, et al.
Published: (2026)
Seeing but Not Believing: Probing the Disconnect Between Visual Attention and Answer Correctness in VLMs
by: Liu, Zhining, et al.
Published: (2025)
by: Liu, Zhining, et al.
Published: (2025)
SycoPhantasy: Quantifying Sycophancy and Hallucination in Small Open Weight VLMs for Vision-Language Scoring of Fantasy Characters
by: Shah, Arya, et al.
Published: (2026)
by: Shah, Arya, et al.
Published: (2026)
A Multi-Stage Framework for 3D Individual Tooth Segmentation in Dental CBCT
by: Wang, Chunshi, et al.
Published: (2024)
by: Wang, Chunshi, et al.
Published: (2024)
Chain-of-Visual-Thought: Teaching VLMs to See and Think Better with Continuous Visual Tokens
by: Qin, Yiming, et al.
Published: (2025)
by: Qin, Yiming, et al.
Published: (2025)
See and Fix the Flaws: Enabling VLMs and Diffusion Models to Comprehend Visual Artifacts via Agentic Data Synthesis
by: Park, Jaehyun, et al.
Published: (2026)
by: Park, Jaehyun, et al.
Published: (2026)
VLMs have Tunnel Vision: Evaluating Nonlocal Visual Reasoning in Leading VLMs
by: Berman, Shmuel, et al.
Published: (2025)
by: Berman, Shmuel, et al.
Published: (2025)
VLMs Trace Without Tracking: Diagnosing Failures in Visual Path Following
by: Hong, Hyesoo, et al.
Published: (2026)
by: Hong, Hyesoo, et al.
Published: (2026)
ViFP: A Framework for Visual False Positive Detection to Enhance Reasoning Reliability in VLMs
by: Zhang, Ben, et al.
Published: (2025)
by: Zhang, Ben, et al.
Published: (2025)
VACoT: Rethinking Visual Data Augmentation with VLMs
by: Xu, Zhengzhuo, et al.
Published: (2025)
by: Xu, Zhengzhuo, et al.
Published: (2025)
Benchmarking and Mitigating Sycophancy in Medical Vision Language Models
by: Xu, Juangui, et al.
Published: (2025)
by: Xu, Juangui, et al.
Published: (2025)
Focusing by Contrastive Attention: Enhancing VLMs' Visual Reasoning
by: Ge, Yuyao, et al.
Published: (2025)
by: Ge, Yuyao, et al.
Published: (2025)
Seeing Isn't Knowing: Do VLMs Know When Not to Answer Spatial Questions (and Why)?
by: Zhang, Yue, et al.
Published: (2026)
by: Zhang, Yue, et al.
Published: (2026)
Are VLMs Seeing or Just Saying? Uncovering the Illusion of Visual Re-examination
by: Shi, Chufan, et al.
Published: (2026)
by: Shi, Chufan, et al.
Published: (2026)
Right this way: Can VLMs Guide Us to See More to Answer Questions?
by: Liu, Li, et al.
Published: (2024)
by: Liu, Li, et al.
Published: (2024)
StegOT: Trade-offs in Steganography via Optimal Transport
by: Lin, Chengde, et al.
Published: (2025)
by: Lin, Chengde, et al.
Published: (2025)
Beyond Text-Visual Attention: Exploiting Visual Cues for Effective Token Pruning in VLMs
by: Zhang, Qizhe, et al.
Published: (2024)
by: Zhang, Qizhe, et al.
Published: (2024)
To Agree or To Be Right? The Grounding-Sycophancy Tradeoff in Medical Vision-Language Models
by: Aranya, OFM Riaz Rahman, et al.
Published: (2026)
by: Aranya, OFM Riaz Rahman, et al.
Published: (2026)
EchoBench: Benchmarking Sycophancy in Medical Large Vision-Language Models
by: Yuan, Botai, et al.
Published: (2025)
by: Yuan, Botai, et al.
Published: (2025)
MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders
by: Cao, Jiajun, et al.
Published: (2025)
by: Cao, Jiajun, et al.
Published: (2025)
Activating Visual Context and Commonsense Reasoning through Masked Prediction in VLMs
by: Yu, Jiaao, et al.
Published: (2025)
by: Yu, Jiaao, et al.
Published: (2025)
Flattery in Motion: Benchmarking and Analyzing Sycophancy in Video-LLMs
by: Zhou, Wenrui, et al.
Published: (2025)
by: Zhou, Wenrui, et al.
Published: (2025)
CheXPO: Preference Optimization for Chest X-ray VLMs with Counterfactual Rationale
by: Liang, Xiao, et al.
Published: (2025)
by: Liang, Xiao, et al.
Published: (2025)
Can VLMs Truly Forget? Benchmarking Training-Free Visual Concept Unlearning
by: Tan, Zhangyun, et al.
Published: (2026)
by: Tan, Zhangyun, et al.
Published: (2026)
Thinking with Gaze: Sequential Eye-Tracking as Visual Reasoning Supervision for Medical VLMs
by: Li, Yiwei, et al.
Published: (2026)
by: Li, Yiwei, et al.
Published: (2026)
Test-Time Reasoning Through Visual Human Preferences with VLMs and Soft Rewards
by: Gambashidze, Alexander, et al.
Published: (2025)
by: Gambashidze, Alexander, et al.
Published: (2025)
VisionFoundry: Teaching VLMs Visual Perception with Synthetic Images
by: Zhou, Guanyu, et al.
Published: (2026)
by: Zhou, Guanyu, et al.
Published: (2026)
iVISPAR -- An Interactive Visual-Spatial Reasoning Benchmark for VLMs
by: Mayer, Julius, et al.
Published: (2025)
by: Mayer, Julius, et al.
Published: (2025)
Can VLMs Recall Factual Associations From Visual References?
by: Ashok, Dhananjay, et al.
Published: (2025)
by: Ashok, Dhananjay, et al.
Published: (2025)
Autoregressive Semantic Visual Reconstruction Helps VLMs Understand Better
by: Wang, Dianyi, et al.
Published: (2025)
by: Wang, Dianyi, et al.
Published: (2025)
Retrieval-Augmented VLMs for Multimodal Melanoma Diagnosis
by: Moon, Jihyun, et al.
Published: (2025)
by: Moon, Jihyun, et al.
Published: (2025)
Visual Structures Helps Visual Reasoning: Addressing the Binding Problem in VLMs
by: Izadi, Amirmohammad, et al.
Published: (2025)
by: Izadi, Amirmohammad, et al.
Published: (2025)
Parameter-Efficient VLMs for Gastrointestinal Endoscopy: Medical Image Generation and Clinical Visual Question Answering
by: Peter, Ojonugwa Oluwafemi Ejiga, et al.
Published: (2026)
by: Peter, Ojonugwa Oluwafemi Ejiga, et al.
Published: (2026)
Can you SPLICE it together? A Human Curated Benchmark for Probing Visual Reasoning in VLMs
by: Ballout, Mohamad, et al.
Published: (2025)
by: Ballout, Mohamad, et al.
Published: (2025)
Seeing is Improving: Visual Feedback for Iterative Text Layout Refinement
by: Guo, Junrong, et al.
Published: (2026)
by: Guo, Junrong, et al.
Published: (2026)
Tone Matters: The Impact of Linguistic Tone on Hallucination in VLMs
by: Hong, Weihao, et al.
Published: (2026)
by: Hong, Weihao, et al.
Published: (2026)
Do MLLMs Really See It: Reinforcing Visual Attention in Multimodal LLMs
by: Ou, Siqu, et al.
Published: (2026)
by: Ou, Siqu, et al.
Published: (2026)
Seeing the Trees for the Forest: Rethinking Weakly-Supervised Medical Visual Grounding
by: Huy, Ta Duc, et al.
Published: (2025)
by: Huy, Ta Duc, et al.
Published: (2025)
Similar Items
-
Have the VLMs Lost Confidence? A Study of Sycophancy in VLMs
by: Li, Shuo, et al.
Published: (2024) -
Think Twice to See More: Iterative Visual Reasoning in Medical VLMs
by: Chen, Kaitao, et al.
Published: (2025) -
Motion-Adaptive Temporal Attention for Lightweight Video Generation with Stable Diffusion
by: Hong, Rui, et al.
Published: (2026) -
Seeing but Not Believing: Probing the Disconnect Between Visual Attention and Answer Correctness in VLMs
by: Liu, Zhining, et al.
Published: (2025) -
SycoPhantasy: Quantifying Sycophancy and Hallucination in Small Open Weight VLMs for Vision-Language Scoring of Fantasy Characters
by: Shah, Arya, et al.
Published: (2026)