DRESS: Instructing Large Vision-Language Models to Align and Interact with Humans via Natural Language Feedback
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Yangyi, Sikka, Karan, Cogswell, Michael, Ji, Heng, Divakaran, Ajay |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models
by: Chen, Yangyi, et al.
Published: (2023)
by: Chen, Yangyi, et al.
Published: (2023)
A Video is Worth 10,000 Words: Training and Benchmarking with Diverse Captions for Better Long Video Retrieval
by: Gwilliam, Matthew, et al.
Published: (2023)
by: Gwilliam, Matthew, et al.
Published: (2023)
Pelican: Correcting Hallucination in Vision-LLMs via Claim Decomposition and Program of Thought Verification
by: Sahu, Pritish, et al.
Published: (2024)
by: Sahu, Pritish, et al.
Published: (2024)
SOLO: A Single Transformer for Scalable Vision-Language Modeling
by: Chen, Yangyi, et al.
Published: (2024)
by: Chen, Yangyi, et al.
Published: (2024)
Prioritizing Image-Related Tokens Enhances Vision-Language Pre-Training
by: Chen, Yangyi, et al.
Published: (2025)
by: Chen, Yangyi, et al.
Published: (2025)
Probing Conceptual Understanding of Large Visual-Language Models
by: Schiappa, Madeline, et al.
Published: (2023)
by: Schiappa, Madeline, et al.
Published: (2023)
FGAIF: Aligning Large Vision-Language Models with Fine-grained AI Feedback
by: Jing, Liqiang, et al.
Published: (2024)
by: Jing, Liqiang, et al.
Published: (2024)
Finer: Investigating and Enhancing Fine-Grained Visual Concept Recognition in Large Vision Language Models
by: Kim, Jeonghwan, et al.
Published: (2024)
by: Kim, Jeonghwan, et al.
Published: (2024)
BloomVQA: Assessing Hierarchical Multi-modal Comprehension
by: Gong, Yunye, et al.
Published: (2023)
by: Gong, Yunye, et al.
Published: (2023)
AlignMMBench: Evaluating Chinese Multimodal Alignment in Large Vision-Language Models
by: Wu, Yuhang, et al.
Published: (2024)
by: Wu, Yuhang, et al.
Published: (2024)
Instruction-Aligned Visual Attention for Mitigating Hallucinations in Large Vision-Language Models
by: Li, Bin, et al.
Published: (2025)
by: Li, Bin, et al.
Published: (2025)
Aligning Modalities in Vision Large Language Models via Preference Fine-tuning
by: Zhou, Yiyang, et al.
Published: (2024)
by: Zhou, Yiyang, et al.
Published: (2024)
Toward Interactive Regional Understanding in Vision-Large Language Models
by: Lee, Jungbeom, et al.
Published: (2024)
by: Lee, Jungbeom, et al.
Published: (2024)
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)
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)
Self-Correcting Decoding with Generative Feedback for Mitigating Hallucinations in Large Vision-Language Models
by: Zhang, Ce, et al.
Published: (2025)
by: Zhang, Ce, et al.
Published: (2025)
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)
Punching Bag vs. Punching Person: Motion Transferability in Videos
by: Abdullah, Raiyaan, et al.
Published: (2025)
by: Abdullah, Raiyaan, et al.
Published: (2025)
NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples
by: Li, Baiqi, et al.
Published: (2024)
by: Li, Baiqi, et al.
Published: (2024)
IdealGPT: Iteratively Decomposing Vision and Language Reasoning via Large Language Models
by: You, Haoxuan, et al.
Published: (2023)
by: You, Haoxuan, et al.
Published: (2023)
InterFeedback: Unveiling Interactive Intelligence of Large Multimodal Models via Human Feedback
by: Zhao, Henry Hengyuan, et al.
Published: (2025)
by: Zhao, Henry Hengyuan, et al.
Published: (2025)
HSCR: Hierarchical Self-Contrastive Rewarding for Aligning Medical Vision Language Models
by: Jiang, Songtao, et al.
Published: (2025)
by: Jiang, Songtao, et al.
Published: (2025)
NAVIG: Natural Language-guided Analysis with Vision Language Models for Image Geo-localization
by: Zhang, Zheyuan, et al.
Published: (2025)
by: Zhang, Zheyuan, et al.
Published: (2025)
InstructTA: Instruction-Tuned Targeted Attack for Large Vision-Language Models
by: Wang, Xunguang, et al.
Published: (2023)
by: Wang, Xunguang, et al.
Published: (2023)
Intriguing Properties of Large Language and Vision Models
by: Lee, Young-Jun, et al.
Published: (2024)
by: Lee, Young-Jun, et al.
Published: (2024)
Voila-A: Aligning Vision-Language Models with User's Gaze Attention
by: Yan, Kun, et al.
Published: (2023)
by: Yan, Kun, et al.
Published: (2023)
Improving Medical Large Vision-Language Models with Abnormal-Aware Feedback
by: Zhou, Yucheng, et al.
Published: (2025)
by: Zhou, Yucheng, et al.
Published: (2025)
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)
VLM-3R: Vision-Language Models Augmented with Instruction-Aligned 3D Reconstruction
by: Fan, Zhiwen, et al.
Published: (2025)
by: Fan, Zhiwen, et al.
Published: (2025)
Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback
by: Xiao, Wenyi, et al.
Published: (2024)
by: Xiao, Wenyi, et al.
Published: (2024)
Instruction-Following Evaluation of Large Vision-Language Models
by: Shiono, Daiki, et al.
Published: (2025)
by: Shiono, Daiki, et al.
Published: (2025)
Vision-centric Token Compression in Large Language Model
by: Xing, Ling, et al.
Published: (2025)
by: Xing, Ling, et al.
Published: (2025)
Visual In-Context Learning for Large Vision-Language Models
by: Zhou, Yucheng, et al.
Published: (2024)
by: Zhou, Yucheng, et al.
Published: (2024)
Feedback-Driven Vision-Language Alignment with Minimal Human Supervision
by: Giannone, Giorgio, et al.
Published: (2025)
by: Giannone, Giorgio, et al.
Published: (2025)
Anatomy of a Feeling: Narrating Embodied Emotions via Large Vision-Language Models
by: Saim, Mohammad, et al.
Published: (2025)
by: Saim, Mohammad, et al.
Published: (2025)
Addressing Overthinking in Large Vision-Language Models via Gated Perception-Reasoning Optimization
by: Diao, Xingjian, et al.
Published: (2026)
by: Diao, Xingjian, et al.
Published: (2026)
Diagnosing Vision Language Models' Perception by Leveraging Human Methods for Color Vision Deficiencies
by: Hayashi, Kazuki, et al.
Published: (2025)
by: Hayashi, Kazuki, et al.
Published: (2025)
VEGAS: Mitigating Hallucinations in Large Vision-Language Models via Vision-Encoder Attention Guided Adaptive Steering
by: Wang, Zihu, et al.
Published: (2025)
by: Wang, Zihu, et al.
Published: (2025)
ETA: Evaluating Then Aligning Safety of Vision Language Models at Inference Time
by: Ding, Yi, et al.
Published: (2024)
by: Ding, Yi, et al.
Published: (2024)
Patch-Prompt Aligned Bayesian Prompt Tuning for Vision-Language Models
by: Liu, Xinyang, et al.
Published: (2023)
by: Liu, Xinyang, et al.
Published: (2023)
Similar Items
-
Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models
by: Chen, Yangyi, et al.
Published: (2023) -
A Video is Worth 10,000 Words: Training and Benchmarking with Diverse Captions for Better Long Video Retrieval
by: Gwilliam, Matthew, et al.
Published: (2023) -
Pelican: Correcting Hallucination in Vision-LLMs via Claim Decomposition and Program of Thought Verification
by: Sahu, Pritish, et al.
Published: (2024) -
SOLO: A Single Transformer for Scalable Vision-Language Modeling
by: Chen, Yangyi, et al.
Published: (2024) -
Prioritizing Image-Related Tokens Enhances Vision-Language Pre-Training
by: Chen, Yangyi, et al.
Published: (2025)