Bridging the Gap Between Multimodal Foundation Models and World Models
Fuente:
arXiv
Saved in:
| Main Author: | He, Xuehai |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
HEMM: Holistic Evaluation of Multimodal Foundation Models
by: Liang, Paul Pu, et al.
Published: (2024)
by: Liang, Paul Pu, et al.
Published: (2024)
Many-Shot In-Context Learning in Multimodal Foundation Models
by: Jiang, Yixing, et al.
Published: (2024)
by: Jiang, Yixing, et al.
Published: (2024)
Benchmarking Zero-Shot Robustness of Multimodal Foundation Models: A Pilot Study
by: Wang, Chenguang, et al.
Published: (2024)
by: Wang, Chenguang, et al.
Published: (2024)
A Survey of Reasoning with Foundation Models
by: Sun, Jiankai, et al.
Published: (2023)
by: Sun, Jiankai, et al.
Published: (2023)
OceanPile: A Large-Scale Multimodal Ocean Corpus for Foundation Models
by: Xue, Yida, et al.
Published: (2026)
by: Xue, Yida, et al.
Published: (2026)
Visual Question Decomposition on Multimodal Large Language Models
by: Zhang, Haowei, et al.
Published: (2024)
by: Zhang, Haowei, et al.
Published: (2024)
Matryoshka Multimodal Models
by: Cai, Mu, et al.
Published: (2024)
by: Cai, Mu, et al.
Published: (2024)
Can World Models Benefit VLMs for World Dynamics?
by: Zhang, Kevin, et al.
Published: (2025)
by: Zhang, Kevin, et al.
Published: (2025)
Impact of Noisy Supervision in Foundation Model Learning
by: Chen, Hao, et al.
Published: (2024)
by: Chen, Hao, et al.
Published: (2024)
Unveiling Uncertainty: A Deep Dive into Calibration and Performance of Multimodal Large Language Models
by: Chen, Zijun, et al.
Published: (2024)
by: Chen, Zijun, et al.
Published: (2024)
WorldCache: Content-Aware Caching for Accelerated Video World Models
by: Nawaz, Umair, et al.
Published: (2026)
by: Nawaz, Umair, et al.
Published: (2026)
Benchmarking the Thinking Mode of Multimodal Large Language Models in Clinical Tasks
by: Hong, Jindong, et al.
Published: (2025)
by: Hong, Jindong, et al.
Published: (2025)
LangGap: Diagnosing and Closing the Language Gap in Vision-Language-Action Models
by: Hou, Yuchen, et al.
Published: (2026)
by: Hou, Yuchen, et al.
Published: (2026)
PAN: A World Model for General, Interactable, and Long-Horizon World Simulation
by: PAN Team, et al.
Published: (2025)
by: PAN Team, et al.
Published: (2025)
Directional Gradient Projection for Robust Fine-Tuning of Foundation Models
by: Huang, Chengyue, et al.
Published: (2025)
by: Huang, Chengyue, et al.
Published: (2025)
A Survey on Multimodal Large Language Models
by: Yin, Shukang, et al.
Published: (2023)
by: Yin, Shukang, et al.
Published: (2023)
The Best of Both Worlds: Integrating Language Models and Diffusion Models for Video Generation
by: Yin, Aoxiong, et al.
Published: (2025)
by: Yin, Aoxiong, et al.
Published: (2025)
Bridging the Gap between 2D and 3D Visual Question Answering: A Fusion Approach for 3D VQA
by: Mo, Wentao, et al.
Published: (2024)
by: Mo, Wentao, et al.
Published: (2024)
MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts
by: Lu, Pan, et al.
Published: (2023)
by: Lu, Pan, et al.
Published: (2023)
Promptception: How Sensitive Are Large Multimodal Models to Prompts?
by: Ismithdeen, Mohamed Insaf, et al.
Published: (2025)
by: Ismithdeen, Mohamed Insaf, et al.
Published: (2025)
Compositional Chain-of-Thought Prompting for Large Multimodal Models
by: Mitra, Chancharik, et al.
Published: (2023)
by: Mitra, Chancharik, et al.
Published: (2023)
LMFusion: Adapting Pretrained Language Models for Multimodal Generation
by: Shi, Weijia, et al.
Published: (2024)
by: Shi, Weijia, et al.
Published: (2024)
Woodpecker: Hallucination Correction for Multimodal Large Language Models
by: Yin, Shukang, et al.
Published: (2023)
by: Yin, Shukang, et al.
Published: (2023)
Multimodal Needle in a Haystack: Benchmarking Long-Context Capability of Multimodal Large Language Models
by: Wang, Hengyi, et al.
Published: (2024)
by: Wang, Hengyi, et al.
Published: (2024)
Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences
by: Wang, Xiyao, et al.
Published: (2024)
by: Wang, Xiyao, et al.
Published: (2024)
SurgeryV2: Bridging the Gap Between Model Merging and Multi-Task Learning with Deep Representation Surgery
by: Yang, Enneng, et al.
Published: (2024)
by: Yang, Enneng, et al.
Published: (2024)
Diagnosing Shoulder Disorders Using Multimodal Large Language Models and Consumer-Grade Cameras
by: Hong, Jindong, et al.
Published: (2025)
by: Hong, Jindong, et al.
Published: (2025)
Critiques of World Models
by: Xing, Eric, et al.
Published: (2025)
by: Xing, Eric, et al.
Published: (2025)
Continual Learning Using a Kernel-Based Method Over Foundation Models
by: Momeni, Saleh, et al.
Published: (2024)
by: Momeni, Saleh, et al.
Published: (2024)
Test-Time Matching: Unlocking Compositional Reasoning in Multimodal Models
by: Zhu, Yinglun, et al.
Published: (2025)
by: Zhu, Yinglun, et al.
Published: (2025)
Towards Visual Text Grounding of Multimodal Large Language Model
by: Li, Ming, et al.
Published: (2025)
by: Li, Ming, et al.
Published: (2025)
Ovis: Structural Embedding Alignment for Multimodal Large Language Model
by: Lu, Shiyin, et al.
Published: (2024)
by: Lu, Shiyin, et al.
Published: (2024)
MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities
by: Yu, Weihao, et al.
Published: (2023)
by: Yu, Weihao, et al.
Published: (2023)
A Concept-Based Explainability Framework for Large Multimodal Models
by: Parekh, Jayneel, et al.
Published: (2024)
by: Parekh, Jayneel, et al.
Published: (2024)
AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling
by: Zhan, Jun, et al.
Published: (2024)
by: Zhan, Jun, et al.
Published: (2024)
Efficient Self-Improvement in Multimodal Large Language Models: A Model-Level Judge-Free Approach
by: Deng, Shijian, et al.
Published: (2024)
by: Deng, Shijian, et al.
Published: (2024)
Athena: Enhancing Multimodal Reasoning with Data-efficient Process Reward Models
by: Wang, Shuai, et al.
Published: (2025)
by: Wang, Shuai, et al.
Published: (2025)
Unsolvable Problem Detection: Robust Understanding Evaluation for Large Multimodal Models
by: Miyai, Atsuyuki, et al.
Published: (2024)
by: Miyai, Atsuyuki, et al.
Published: (2024)
MM-Instruct: Generated Visual Instructions for Large Multimodal Model Alignment
by: Liu, Jihao, et al.
Published: (2024)
by: Liu, Jihao, et al.
Published: (2024)
Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Models
by: Ma, Chuofan, et al.
Published: (2024)
by: Ma, Chuofan, et al.
Published: (2024)
Similar Items
-
HEMM: Holistic Evaluation of Multimodal Foundation Models
by: Liang, Paul Pu, et al.
Published: (2024) -
Many-Shot In-Context Learning in Multimodal Foundation Models
by: Jiang, Yixing, et al.
Published: (2024) -
Benchmarking Zero-Shot Robustness of Multimodal Foundation Models: A Pilot Study
by: Wang, Chenguang, et al.
Published: (2024) -
A Survey of Reasoning with Foundation Models
by: Sun, Jiankai, et al.
Published: (2023) -
OceanPile: A Large-Scale Multimodal Ocean Corpus for Foundation Models
by: Xue, Yida, et al.
Published: (2026)