FINER: MLLMs Hallucinate under Fine-grained Negative Queries
Fuente:
arXiv
Saved in:
| Main Authors: | Xiao, Rui, Kim, Sanghwan, Xian, Yongqin, Akata, Zeynep, Alaniz, Stephan |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Training-free Uncertainty Guidance for Complex Visual Tasks with MLLMs
by: Kim, Sanghwan, et al.
Published: (2025)
by: Kim, Sanghwan, et al.
Published: (2025)
FLAIR: VLM with Fine-grained Language-informed Image Representations
by: Xiao, Rui, et al.
Published: (2024)
by: Xiao, Rui, et al.
Published: (2024)
From Drop-off to Recovery: A Mechanistic Analysis of Segmentation in MLLMs
by: Wu, Boyong, et al.
Published: (2026)
by: Wu, Boyong, et al.
Published: (2026)
COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-training
by: Kim, Sanghwan, et al.
Published: (2024)
by: Kim, Sanghwan, et al.
Published: (2024)
SUB: Benchmarking CBM Generalization via Synthetic Attribute Substitutions
by: Bader, Jessica, et al.
Published: (2025)
by: Bader, Jessica, et al.
Published: (2025)
Concept-Guided Interpretability via Neural Chunking
by: Wu, Shuchen, et al.
Published: (2025)
by: Wu, Shuchen, et al.
Published: (2025)
LoFT: LoRA-fused Training Dataset Generation with Few-shot Guidance
by: Kim, Jae Myung, et al.
Published: (2025)
by: Kim, Jae Myung, et al.
Published: (2025)
A Large Scale Analysis of Gender Biases in Text-to-Image Generative Models
by: Girrbach, Leander, et al.
Published: (2025)
by: Girrbach, Leander, et al.
Published: (2025)
Explore the Hallucination on Low-level Perception for MLLMs
by: Sun, Yinan, et al.
Published: (2024)
by: Sun, Yinan, et al.
Published: (2024)
Explaining CLIP Zero-shot Predictions Through Concepts
by: Ozdemir, Onat, et al.
Published: (2026)
by: Ozdemir, Onat, et al.
Published: (2026)
ZINA: Multimodal Fine-grained Hallucination Detection and Editing
by: Wada, Yuiga, et al.
Published: (2025)
by: Wada, Yuiga, et al.
Published: (2025)
Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models
by: Singhi, Nishad, et al.
Published: (2024)
by: Singhi, Nishad, et al.
Published: (2024)
Learning Fine-grained Domain Generalization via Hyperbolic State Space Hallucination
by: Bi, Qi, et al.
Published: (2025)
by: Bi, Qi, et al.
Published: (2025)
DataDream: Few-shot Guided Dataset Generation
by: Kim, Jae Myung, et al.
Published: (2024)
by: Kim, Jae Myung, et al.
Published: (2024)
When Looking Is Not Enough: Visual Attention Structure Reveals Hallucination in MLLMs
by: Cao, Fanpu, et al.
Published: (2026)
by: Cao, Fanpu, et al.
Published: (2026)
Mitigating Visual Hallucinations via Semantic Curriculum Preference Optimization in MLLMs
by: Li, Yuanshuai, et al.
Published: (2025)
by: Li, Yuanshuai, et al.
Published: (2025)
Taming Hallucinations: Boosting MLLMs' Video Understanding via Counterfactual Video Generation
by: Huang, Zhe, et al.
Published: (2025)
by: Huang, Zhe, et al.
Published: (2025)
Identity-Aware U-Net: Fine-grained Cell Segmentation via Identity-Aware Representation Learning
by: Xiao, Rui
Published: (2026)
by: Xiao, Rui
Published: (2026)
Human-Aligned Bench: Fine-Grained Assessment of Reasoning Ability in MLLMs vs. Humans
by: Qiu, Yansheng, et al.
Published: (2025)
by: Qiu, Yansheng, et al.
Published: (2025)
Mitigating Object Hallucinations in MLLMs via Multi-Frequency Perturbations
by: Li, Shuo, et al.
Published: (2025)
by: Li, Shuo, et al.
Published: (2025)
Vision-Language Introspection: Mitigating Overconfident Hallucinations in MLLMs via Interpretable Bi-Causal Steering
by: Liu, Shuliang, et al.
Published: (2026)
by: Liu, Shuliang, et al.
Published: (2026)
The Latent Color Subspace: Emergent Order in High-Dimensional Chaos
by: Pach, Mateusz, et al.
Published: (2026)
by: Pach, Mateusz, et al.
Published: (2026)
Time Series Representations for Classification Lie Hidden in Pretrained Vision Transformers
by: Roschmann, Simon, et al.
Published: (2025)
by: Roschmann, Simon, et al.
Published: (2025)
Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models
by: Pach, Mateusz, et al.
Published: (2025)
by: Pach, Mateusz, et al.
Published: (2025)
Person-Centric Annotations of LAION-400M: Auditing Bias and Its Transfer to Models
by: Girrbach, Leander, et al.
Published: (2025)
by: Girrbach, Leander, et al.
Published: (2025)
Adaptive Self-training Framework for Fine-grained Scene Graph Generation
by: Kim, Kibum, et al.
Published: (2024)
by: Kim, Kibum, et al.
Published: (2024)
Respect the model: Fine-grained and Robust Explanation with Sharing Ratio Decomposition
by: Han, Sangyu, et al.
Published: (2024)
by: Han, Sangyu, et al.
Published: (2024)
FREAK: A Fine-grained Hallucination Evaluation Benchmark for Advanced MLLMs
by: Yin, Zhihan, et al.
Published: (2026)
by: Yin, Zhihan, et al.
Published: (2026)
GranViT: A Fine-Grained Vision Model With Autoregressive Perception For MLLMs
by: Zheng, Guanghao, et al.
Published: (2025)
by: Zheng, Guanghao, et al.
Published: (2025)
Stitch: Training-Free Position Control in Multimodal Diffusion Transformers
by: Bader, Jessica, et al.
Published: (2025)
by: Bader, Jessica, et al.
Published: (2025)
Mitigating Hallucinations on Object Attributes using Multiview Images and Negative Instructions
by: Tan, Zhijie, et al.
Published: (2025)
by: Tan, Zhijie, et al.
Published: (2025)
The Mirage of Performance Gains: Why Contrastive Decoding Fails to Mitigate Object Hallucinations in MLLMs?
by: Yin, Hao, et al.
Published: (2025)
by: Yin, Hao, et al.
Published: (2025)
ChartHal: A Fine-grained Framework Evaluating Hallucination of Large Vision Language Models in Chart Understanding
by: Wang, Xingqi, et al.
Published: (2025)
by: Wang, Xingqi, et al.
Published: (2025)
FingER: Content Aware Fine-grained Evaluation with Reasoning for AI-Generated Videos
by: Chen, Rui, et al.
Published: (2025)
by: Chen, Rui, et al.
Published: (2025)
PALM: Predicting Actions through Language Models
by: Kim, Sanghwan, et al.
Published: (2023)
by: Kim, Sanghwan, et al.
Published: (2023)
Dense Connector for MLLMs
by: Yao, Huanjin, et al.
Published: (2024)
by: Yao, Huanjin, et al.
Published: (2024)
Pairwise Matching of Intermediate Representations for Fine-grained Explainability
by: Shrack, Lauren, et al.
Published: (2025)
by: Shrack, Lauren, et al.
Published: (2025)
HueManity: Probing Fine-Grained Visual Perception in MLLMs
by: Grover, Rynaa, et al.
Published: (2025)
by: Grover, Rynaa, et al.
Published: (2025)
Unlocking the Forgery Detection Potential of Vanilla MLLMs: A Novel Training-Free Pipeline
by: Zuo, Rui, et al.
Published: (2025)
by: Zuo, Rui, et al.
Published: (2025)
CAVALRY-V: A Large-Scale Generator Framework for Adversarial Attacks on Video MLLMs
by: Zhang, Jiaming, et al.
Published: (2025)
by: Zhang, Jiaming, et al.
Published: (2025)
Similar Items
-
Training-free Uncertainty Guidance for Complex Visual Tasks with MLLMs
by: Kim, Sanghwan, et al.
Published: (2025) -
FLAIR: VLM with Fine-grained Language-informed Image Representations
by: Xiao, Rui, et al.
Published: (2024) -
From Drop-off to Recovery: A Mechanistic Analysis of Segmentation in MLLMs
by: Wu, Boyong, et al.
Published: (2026) -
COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-training
by: Kim, Sanghwan, et al.
Published: (2024) -
SUB: Benchmarking CBM Generalization via Synthetic Attribute Substitutions
by: Bader, Jessica, et al.
Published: (2025)