HEED: Density-Weighted Residual Alignment for Hybrid Vision-Language Model Distillation
Fuente:
arXiv
Saved in:
| Main Authors: | Liang, Yihao, Jha, Niraj K. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Visual Program Distillation: Distilling Tools and Programmatic Reasoning into Vision-Language Models
by: Hu, Yushi, et al.
Published: (2023)
by: Hu, Yushi, et al.
Published: (2023)
Layer-wise Alignment: Examining Safety Alignment Across Image Encoder Layers in Vision Language Models
by: Bachu, Saketh, et al.
Published: (2024)
by: Bachu, Saketh, et al.
Published: (2024)
LinguDistill: Recovering Linguistic Ability in Vision-Language Models via Selective Cross-Modal Distillation
by: Irawan, Patrick Amadeus, et al.
Published: (2026)
by: Irawan, Patrick Amadeus, et al.
Published: (2026)
VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment
by: Li, Lei, et al.
Published: (2024)
by: Li, Lei, et al.
Published: (2024)
CAST: Cross-modal Alignment Similarity Test for Vision Language Models
by: Dagan, Gautier, et al.
Published: (2024)
by: Dagan, Gautier, et al.
Published: (2024)
Vision Language Models Are Not (Yet) Spelling Correctors
by: Liang, Junhong, et al.
Published: (2025)
by: Liang, Junhong, et al.
Published: (2025)
MAGIC: Multimodal Alignment & Grounding-aware Instruction Coreset for Vision-Language Models
by: Biswas, Shristi Das, et al.
Published: (2026)
by: Biswas, Shristi Das, et al.
Published: (2026)
AlignMMBench: Evaluating Chinese Multimodal Alignment in Large Vision-Language Models
by: Wu, Yuhang, et al.
Published: (2024)
by: Wu, Yuhang, et al.
Published: (2024)
HiMo-CLIP: Modeling Semantic Hierarchy and Monotonicity in Vision-Language Alignment
by: Wu, Ruijia, et al.
Published: (2025)
by: Wu, Ruijia, et al.
Published: (2025)
On the Cultural Anachronism and Temporal Reasoning in Vision Language Models
by: Ranjan, Mukul, et al.
Published: (2026)
by: Ranjan, Mukul, et al.
Published: (2026)
Large Vision-Language Model Alignment and Misalignment: A Survey Through the Lens of Explainability
by: Shu, Dong, et al.
Published: (2025)
by: Shu, Dong, et al.
Published: (2025)
Fine-Grained Verifiers: Preference Modeling as Next-token Prediction in Vision-Language Alignment
by: Cui, Chenhang, et al.
Published: (2024)
by: Cui, Chenhang, et al.
Published: (2024)
Deciphering Cross-Modal Alignment in Large Vision-Language Models with Modality Integration Rate
by: Huang, Qidong, et al.
Published: (2024)
by: Huang, Qidong, et al.
Published: (2024)
CL-HOI: Cross-Level Human-Object Interaction Distillation from Vision Large Language Models
by: Gao, Jianjun, et al.
Published: (2024)
by: Gao, Jianjun, et al.
Published: (2024)
MSR-Align: Policy-Grounded Multimodal Alignment for Safety-Aware Reasoning in Vision-Language Models
by: Xia, Yinan, et al.
Published: (2025)
by: Xia, Yinan, et al.
Published: (2025)
Decomposed On-Policy Distillation for Vision-Language Reasoning: Steering Gradients for Visual Grounding
by: Yoon, Hee Suk, et al.
Published: (2026)
by: Yoon, Hee Suk, et al.
Published: (2026)
MoPD: Mixture-of-Prompts Distillation for Vision-Language Models
by: Chen, Yang, et al.
Published: (2024)
by: Chen, Yang, et al.
Published: (2024)
A Hybrid Defense Strategy for Boosting Adversarial Robustness in Vision-Language Models
by: Liang, Yuhan, et al.
Published: (2024)
by: Liang, Yuhan, et al.
Published: (2024)
Growing a Multi-head Twig via Distillation and Reinforcement Learning to Accelerate Large Vision-Language Models
by: Shao, Zhenwei, et al.
Published: (2025)
by: Shao, Zhenwei, et al.
Published: (2025)
Dynamic Token Reweighting for Robust Vision-Language Models
by: Jiang, Tanqiu, et al.
Published: (2025)
by: Jiang, Tanqiu, et al.
Published: (2025)
PromptSync: Bridging Domain Gaps in Vision-Language Models through Class-Aware Prototype Alignment and Discrimination
by: Khandelwal, Anant
Published: (2024)
by: Khandelwal, Anant
Published: (2024)
Think-Reflect-Revise: A Policy-Guided Reflective Framework for Safety Alignment in Large Vision Language Models
by: Weng, Fenghua, et al.
Published: (2025)
by: Weng, Fenghua, et al.
Published: (2025)
Enhancing Multimodal Large Language Models Complex Reason via Similarity Computation
by: Zhang, Xiaofeng, et al.
Published: (2024)
by: Zhang, Xiaofeng, et al.
Published: (2024)
ProGAL-VLA: Grounded Alignment through Prospective Reasoning in Vision-Language-Action Models
by: Darabi, Nastaran, et al.
Published: (2026)
by: Darabi, Nastaran, et al.
Published: (2026)
Integrating Chain-of-Thought for Multimodal Alignment: A Study on 3D Vision-Language Learning
by: Chen, Yanjun, et al.
Published: (2025)
by: Chen, Yanjun, et al.
Published: (2025)
CHURRO: Making History Readable with an Open-Weight Large Vision-Language Model for High-Accuracy, Low-Cost Historical Text Recognition
by: Semnani, Sina J., et al.
Published: (2025)
by: Semnani, Sina J., et al.
Published: (2025)
How Does Vision-Language Adaptation Impact the Safety of Vision Language Models?
by: Lee, Seongyun, et al.
Published: (2024)
by: Lee, Seongyun, et al.
Published: (2024)
LLAVADI: What Matters For Multimodal Large Language Models Distillation
by: Xu, Shilin, et al.
Published: (2024)
by: Xu, Shilin, et al.
Published: (2024)
Scalable Vision Language Model Training via High Quality Data Curation
by: Dong, Hongyuan, et al.
Published: (2025)
by: Dong, Hongyuan, et al.
Published: (2025)
Can We Predict Performance of Large Models across Vision-Language Tasks?
by: Zhao, Qinyu, et al.
Published: (2024)
by: Zhao, Qinyu, et al.
Published: (2024)
Dream-VL & Dream-VLA: Open Vision-Language and Vision-Language-Action Models with Diffusion Language Model Backbone
by: Ye, Jiacheng, et al.
Published: (2025)
by: Ye, Jiacheng, et al.
Published: (2025)
MASSV: Multimodal Adaptation and Self-Data Distillation for Speculative Decoding of Vision-Language Models
by: Ganesan, Mugilan, et al.
Published: (2025)
by: Ganesan, Mugilan, et al.
Published: (2025)
Progressive Multi-granular Alignments for Grounded Reasoning in Large Vision-Language Models
by: Le, Quang-Hung, et al.
Published: (2024)
by: Le, Quang-Hung, et al.
Published: (2024)
Conflict Adaptation in Vision-Language Models
by: Hu, Xiaoyang
Published: (2025)
by: Hu, Xiaoyang
Published: (2025)
Vision Language Models are Confused Tourists
by: Irawan, Patrick Amadeus, et al.
Published: (2025)
by: Irawan, Patrick Amadeus, 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)
The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models?
by: Zhao, Qinyu, et al.
Published: (2024)
by: Zhao, Qinyu, et al.
Published: (2024)
Expanding the Boundaries of Vision Prior Knowledge in Multi-modal Large Language Models
by: Liang, Qiao, et al.
Published: (2025)
by: Liang, Qiao, et al.
Published: (2025)
SPA-VL: A Comprehensive Safety Preference Alignment Dataset for Vision Language Model
by: Zhang, Yongting, et al.
Published: (2024)
by: Zhang, Yongting, et al.
Published: (2024)
Natural Language Inference Improves Compositionality in Vision-Language Models
by: Cascante-Bonilla, Paola, et al.
Published: (2024)
by: Cascante-Bonilla, Paola, et al.
Published: (2024)
Similar Items
-
Visual Program Distillation: Distilling Tools and Programmatic Reasoning into Vision-Language Models
by: Hu, Yushi, et al.
Published: (2023) -
Layer-wise Alignment: Examining Safety Alignment Across Image Encoder Layers in Vision Language Models
by: Bachu, Saketh, et al.
Published: (2024) -
LinguDistill: Recovering Linguistic Ability in Vision-Language Models via Selective Cross-Modal Distillation
by: Irawan, Patrick Amadeus, et al.
Published: (2026) -
VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment
by: Li, Lei, et al.
Published: (2024) -
CAST: Cross-modal Alignment Similarity Test for Vision Language Models
by: Dagan, Gautier, et al.
Published: (2024)