Cover Image

Probing and Inducing Combinational Creativity in Vision-Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Peng, Yongqian, Ma, Yuxi, Wang, Mengmeng, Wang, Yuxuan, Wang, Yizhou, Zhang, Chi, Zhu, Yixin, Zheng, Zilong
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

VEGAS: Mitigating Hallucinations in Large Vision-Language Models via Vision-Encoder Attention Guided Adaptive Steering
by: Wang, Zihu, et al.
Published: (2025)

Efficient Temporal Extrapolation of Multimodal Large Language Models with Temporal Grounding Bridge
by: Wang, Yuxuan, et al.
Published: (2024)

Aesthetic Assessment of Chinese Handwritings Based on Vision Language Models
by: Zheng, Chen, et al.
Published: (2026)

VideoLLaMB: Long Streaming Video Understanding with Recurrent Memory Bridges
by: Wang, Yuxuan, et al.
Published: (2024)

NPHardEval4V: Dynamic Evaluation of Large Vision-Language Models with Effects of Vision
by: Li, Xiang, et al.
Published: (2024)

Dynamic Token Reweighting for Robust Vision-Language Models
by: Jiang, Tanqiu, et al.
Published: (2025)

v-HUB: A Benchmark for Video Humor Understanding from Vision and Sound
by: Shi, Zhengpeng, et al.
Published: (2025)

Inference Compute-Optimal Video Vision Language Models
by: Wang, Peiqi, et al.
Published: (2025)

On Asymmetric Optimization of Reasoning and Perception in Vision-Language Model Post-Training
by: Wu, Xueqing, et al.
Published: (2026)

Navigating the Nuances: A Fine-grained Evaluation of Vision-Language Navigation
by: Wang, Zehao, et al.
Published: (2024)

Sparkle: Mastering Basic Spatial Capabilities in Vision Language Models Elicits Generalization to Spatial Reasoning
by: Tang, Yihong, et al.
Published: (2024)

Evaluating Vision-Language Models for Emotion Recognition
by: Bhattacharyya, Sree, et al.
Published: (2025)

Unraveling Cross-Modality Knowledge Conflicts in Large Vision-Language Models
by: Zhu, Tinghui, et al.
Published: (2024)

VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models
by: Wang, Yuxuan, et al.
Published: (2024)

CVLUE: A New Benchmark Dataset for Chinese Vision-Language Understanding Evaluation
by: Wang, Yuxuan, et al.
Published: (2024)

Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration
by: Wang, Jun, et al.
Published: (2026)

MFC-Bench: Benchmarking Multimodal Fact-Checking with Large Vision-Language Models
by: Wang, Shengkang, et al.
Published: (2024)

PUMGPT: A Large Vision-Language Model for Product Understanding
by: Xue, Wei, et al.
Published: (2023)

Diving into Mitigating Hallucinations from a Vision Perspective for Large Vision-Language Models
by: Wang, Weihang, 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)

Text Prompt Injection of Vision Language Models
by: Zhu, Ruizhe
Published: (2025)

Redefining <Creative> in Dictionary: Towards an Enhanced Semantic Understanding of Creative Generation
by: Feng, Fu, et al.
Published: (2024)

Fine-Grained Evaluation of Large Vision-Language Models in Autonomous Driving
by: Li, Yue, et al.
Published: (2025)

Can Large Vision-Language Models Understand Multimodal Sarcasm?
by: Wang, Xinyu, et al.
Published: (2025)

Nodes Are Early, Edges Are Late: Probing Diagram Representations in Large Vision-Language Models
by: Yoshida, Haruto, et al.
Published: (2026)

Visual In-Context Learning for Large Vision-Language Models
by: Zhou, Yucheng, et al.
Published: (2024)

Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models
by: Li, Yanwei, et al.
Published: (2024)

Towards Few-shot Entity Recognition in Document Images: A Graph Neural Network Approach Robust to Image Manipulation
by: Krishnan, Prashant, et al.
Published: (2023)

Lifelong Knowledge Editing for Vision Language Models with Low-Rank Mixture-of-Experts
by: Chen, Qizhou, et al.
Published: (2024)

CLIP-Adapter: Better Vision-Language Models with Feature Adapters
by: Gao, Peng, et al.
Published: (2021)

Lever LM: Configuring In-Context Sequence to Lever Large Vision Language Models
by: Yang, Xu, et al.
Published: (2023)

CODIS: Benchmarking Context-Dependent Visual Comprehension for Multimodal Large Language Models
by: Luo, Fuwen, et al.
Published: (2024)

SOLO: A Single Transformer for Scalable Vision-Language Modeling
by: Chen, Yangyi, et al.
Published: (2024)

MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models
by: Xia, Peng, et al.
Published: (2024)

IdealGPT: Iteratively Decomposing Vision and Language Reasoning via Large Language Models
by: You, Haoxuan, et al.
Published: (2023)

Vision-centric Token Compression in Large Language Model
by: Xing, Ling, et al.
Published: (2025)

Attribution Analysis Meets Model Editing: Advancing Knowledge Correction in Vision Language Models with VisEdit
by: Chen, Qizhou, et al.
Published: (2024)

Trajectory Prediction Meets Large Language Models: A Survey
by: Xu, Yi, et al.
Published: (2025)

Vision-and-Language Navigation Today and Tomorrow: A Survey in the Era of Foundation Models
by: Zhang, Yue, et al.
Published: (2024)

FlightGPT: Towards Generalizable and Interpretable UAV Vision-and-Language Navigation with Vision-Language Models
by: Cai, Hengxing, et al.
Published: (2025)