Matryoshka Query Transformer for Large Vision-Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Hu, Wenbo, Dou, Zi-Yi, Li, Liunian Harold, Kamath, Amita, Peng, Nanyun, Chang, Kai-Wei |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
VALOR-EVAL: Holistic Coverage and Faithfulness Evaluation of Large Vision-Language Models
by: Qiu, Haoyi, et al.
Published: (2024)
by: Qiu, Haoyi, et al.
Published: (2024)
MRAG-Bench: Vision-Centric Evaluation for Retrieval-Augmented Multimodal Models
by: Hu, Wenbo, et al.
Published: (2024)
by: Hu, Wenbo, et al.
Published: (2024)
The Hard Positive Truth about Vision-Language Compositionality
by: Kamath, Amita, et al.
Published: (2024)
by: Kamath, Amita, et al.
Published: (2024)
On Asymmetric Optimization of Reasoning and Perception in Vision-Language Model Post-Training
by: Wu, Xueqing, et al.
Published: (2026)
by: Wu, Xueqing, et al.
Published: (2026)
Scale Can't Overcome Pragmatics: The Impact of Reporting Bias on Vision-Language Reasoning
by: Kamath, Amita, et al.
Published: (2026)
by: Kamath, Amita, et al.
Published: (2026)
Frequency-Modulated Visual Restoration for Matryoshka Large Multimodal Models
by: Pan, Qingtao, et al.
Published: (2026)
by: Pan, Qingtao, et al.
Published: (2026)
TemMed-Bench: Evaluating Temporal Medical Image Reasoning in Vision-Language Models
by: Zhang, Junyi, et al.
Published: (2025)
by: Zhang, Junyi, et al.
Published: (2025)
OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles
by: Deng, Yihe, et al.
Published: (2025)
by: Deng, Yihe, et al.
Published: (2025)
OpenVLThinkerV2: A Generalist Multimodal Reasoning Model for Multi-domain Visual Tasks
by: Hu, Wenbo, et al.
Published: (2026)
by: Hu, Wenbo, et al.
Published: (2026)
Exposing and Addressing Cross-Task Inconsistency in Unified Vision-Language Models
by: Maharana, Adyasha, et al.
Published: (2023)
by: Maharana, Adyasha, et al.
Published: (2023)
Visual Representations inside the Language Model
by: Liu, Benlin, et al.
Published: (2025)
by: Liu, Benlin, et al.
Published: (2025)
3DLLM-Mem: Long-Term Spatial-Temporal Memory for Embodied 3D Large Language Model
by: Hu, Wenbo, et al.
Published: (2025)
by: Hu, Wenbo, et al.
Published: (2025)
Unlocking Exocentric Video-Language Data for Egocentric Video Representation Learning
by: Dou, Zi-Yi, et al.
Published: (2024)
by: Dou, Zi-Yi, et al.
Published: (2024)
Medical Vision-Language Pre-Training for Brain Abnormalities
by: Monajatipoor, Masoud, et al.
Published: (2024)
by: Monajatipoor, Masoud, et al.
Published: (2024)
Enhancing Large Vision Language Models with Self-Training on Image Comprehension
by: Deng, Yihe, et al.
Published: (2024)
by: Deng, Yihe, et al.
Published: (2024)
Verbalized Representation Learning for Interpretable Few-Shot Generalization
by: Yang, Cheng-Fu, et al.
Published: (2024)
by: Yang, Cheng-Fu, 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)
METAL: A Multi-Agent Framework for Chart Generation with Test-Time Scaling
by: Li, Bingxuan, et al.
Published: (2025)
by: Li, Bingxuan, et al.
Published: (2025)
Matryoshka Multimodal Models
by: Cai, Mu, et al.
Published: (2024)
by: Cai, Mu, et al.
Published: (2024)
VDebugger: Harnessing Execution Feedback for Debugging Visual Programs
by: Wu, Xueqing, et al.
Published: (2024)
by: Wu, Xueqing, et al.
Published: (2024)
S-GRPO: Unified Post-Training for Large Vision-Language Models
by: Yan, Yuming, et al.
Published: (2026)
by: Yan, Yuming, et al.
Published: (2026)
NPHardEval4V: Dynamic Evaluation of Large Vision-Language Models with Effects of Vision
by: Li, Xiang, et al.
Published: (2024)
by: Li, Xiang, et al.
Published: (2024)
A Unified Hallucination Mitigation Framework for Large Vision-Language Models
by: Chang, Yue, et al.
Published: (2024)
by: Chang, Yue, et al.
Published: (2024)
MatMamba: A Matryoshka State Space Model
by: Shukla, Abhinav, et al.
Published: (2024)
by: Shukla, Abhinav, et al.
Published: (2024)
Delve into Visual Contrastive Decoding for Hallucination Mitigation of Large Vision-Language Models
by: Lee, Yi-Lun, et al.
Published: (2024)
by: Lee, Yi-Lun, et al.
Published: (2024)
Re-ReST: Reflection-Reinforced Self-Training for Language Agents
by: Dou, Zi-Yi, et al.
Published: (2024)
by: Dou, Zi-Yi, et al.
Published: (2024)
Conflict Adaptation in Vision-Language Models
by: Hu, Xiaoyang
Published: (2025)
by: Hu, Xiaoyang
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)
UniFine: A Unified and Fine-grained Approach for Zero-shot Vision-Language Understanding
by: Wang, Zhecan, et al.
Published: (2023)
by: Wang, Zhecan, et al.
Published: (2023)
Frame-Voyager: Learning to Query Frames for Video Large Language Models
by: Yu, Sicheng, et al.
Published: (2024)
by: Yu, Sicheng, et al.
Published: (2024)
VISCO: Benchmarking Fine-Grained Critique and Correction Towards Self-Improvement in Visual Reasoning
by: Wu, Xueqing, et al.
Published: (2024)
by: Wu, Xueqing, et al.
Published: (2024)
Scaffolding Coordinates to Promote Vision-Language Coordination in Large Multi-Modal Models
by: Lei, Xuanyu, et al.
Published: (2024)
by: Lei, Xuanyu, et al.
Published: (2024)
DialectGen: Benchmarking and Improving Dialect Robustness in Multimodal Generation
by: Zhou, Yu, et al.
Published: (2025)
by: Zhou, Yu, et al.
Published: (2025)
PUMGPT: A Large Vision-Language Model for Product Understanding
by: Xue, Wei, et al.
Published: (2023)
by: Xue, Wei, et al.
Published: (2023)
A Survey on Hallucination in Large Vision-Language Models
by: Liu, Hanchao, et al.
Published: (2024)
by: Liu, Hanchao, et al.
Published: (2024)
ChartMuseum: Testing Visual Reasoning Capabilities of Large Vision-Language Models
by: Tang, Liyan, et al.
Published: (2025)
by: Tang, Liyan, et al.
Published: (2025)
"See the World, Discover Knowledge": A Chinese Factuality Evaluation for Large Vision Language Models
by: Gu, Jihao, et al.
Published: (2025)
by: Gu, Jihao, et al.
Published: (2025)
SOLO: A Single Transformer for Scalable Vision-Language Modeling
by: Chen, Yangyi, et al.
Published: (2024)
by: Chen, Yangyi, et al.
Published: (2024)
Mitigating Hallucinations in Large Vision-Language Models by Self-Injecting Hallucinations
by: Lu, Yifan, et al.
Published: (2025)
by: Lu, Yifan, et al.
Published: (2025)
Intriguing Properties of Large Language and Vision Models
by: Lee, Young-Jun, et al.
Published: (2024)
by: Lee, Young-Jun, et al.
Published: (2024)
Similar Items
-
VALOR-EVAL: Holistic Coverage and Faithfulness Evaluation of Large Vision-Language Models
by: Qiu, Haoyi, et al.
Published: (2024) -
MRAG-Bench: Vision-Centric Evaluation for Retrieval-Augmented Multimodal Models
by: Hu, Wenbo, et al.
Published: (2024) -
The Hard Positive Truth about Vision-Language Compositionality
by: Kamath, Amita, et al.
Published: (2024) -
On Asymmetric Optimization of Reasoning and Perception in Vision-Language Model Post-Training
by: Wu, Xueqing, et al.
Published: (2026) -
Scale Can't Overcome Pragmatics: The Impact of Reporting Bias on Vision-Language Reasoning
by: Kamath, Amita, et al.
Published: (2026)