Copertina

Can Vision Language Models Learn from Visual Demonstrations of Ambiguous Spatial Reasoning?

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhao, Bowen, Dirac, Leo Parker, Varshavskaya, Paulina
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Reinforcing VLMs to Use Tools for Detailed Visual Reasoning Under Resource Constraints
di: Kumar, Sunil, et al.
Pubblicazione: (2025)

Fine-tuning Vision Classifiers On A Budget
di: Kumar, Sunil, et al.
Pubblicazione: (2024)

ChartMuseum: Testing Visual Reasoning Capabilities of Large Vision-Language Models
di: Tang, Liyan, et al.
Pubblicazione: (2025)

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

Mind the Gap: Benchmarking Spatial Reasoning in Vision-Language Models
di: Stogiannidis, Ilias, et al.
Pubblicazione: (2025)

Towards Grounded Visual Spatial Reasoning in Multi-Modal Vision Language Models
di: Rajabi, Navid, et al.
Pubblicazione: (2023)

Learning GUI Grounding with Spatial Reasoning from Visual Feedback
di: Zhao, Yu, et al.
Pubblicazione: (2025)

VAGUE: Visual Contexts Clarify Ambiguous Expressions
di: Nam, Heejeong, et al.
Pubblicazione: (2024)

BabyVision: Visual Reasoning Beyond Language
di: Chen, Liang, et al.
Pubblicazione: (2026)

Reasoning Paths with Reference Objects Elicit Quantitative Spatial Reasoning in Large Vision-Language Models
di: Liao, Yuan-Hong, et al.
Pubblicazione: (2024)

SpatialLadder: Progressive Training for Spatial Reasoning in Vision-Language Models
di: Li, Hongxing, et al.
Pubblicazione: (2025)

Rethinking Visual Dependency in Long-Context Reasoning for Large Vision-Language Models
di: Zhou, Yucheng, et al.
Pubblicazione: (2024)

Visual Program Distillation: Distilling Tools and Programmatic Reasoning into Vision-Language Models
di: Hu, Yushi, et al.
Pubblicazione: (2023)

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

3ViewSense: Spatial and Mental Perspective Reasoning from Orthographic Views in Vision-Language Models
di: Zhan, Shaoxiong, et al.
Pubblicazione: (2026)

Judging the Judges: Can Large Vision-Language Models Fairly Evaluate Chart Comprehension and Reasoning?
di: Laskar, Md Tahmid Rahman, et al.
Pubblicazione: (2025)

OmniSpatial: Towards Comprehensive Spatial Reasoning Benchmark for Vision Language Models
di: Jia, Mengdi, et al.
Pubblicazione: (2025)

Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning
di: Zhu, Yingjie, et al.
Pubblicazione: (2024)

Can Vision-Language Models Solve Visual Math Equations?
di: Choudhury, Monjoy Narayan, et al.
Pubblicazione: (2025)

SpatiaLab: Can Vision-Language Models Perform Spatial Reasoning in the Wild?
di: Wasi, Azmine Toushik, et al.
Pubblicazione: (2026)

Scale Can't Overcome Pragmatics: The Impact of Reporting Bias on Vision-Language Reasoning
di: Kamath, Amita, et al.
Pubblicazione: (2026)

Can We Predict Performance of Large Models across Vision-Language Tasks?
di: Zhao, Qinyu, et al.
Pubblicazione: (2024)

SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities
di: Chen, Boyuan, et al.
Pubblicazione: (2024)

Can Vision-Language Models Solve the Shell Game?
di: Liu, Tiedong, et al.
Pubblicazione: (2026)

Can Vision-Language Models Evaluate Handwritten Math?
di: Nath, Oikantik, et al.
Pubblicazione: (2025)

End-to-End Navigation with Vision Language Models: Transforming Spatial Reasoning into Question-Answering
di: Goetting, Dylan, et al.
Pubblicazione: (2024)

Investigating Spatial Attention Bias in Vision-Language Models
di: Chaudhary, Aryan, et al.
Pubblicazione: (2025)

Open Vision Reasoner: Transferring Linguistic Cognitive Behavior for Visual Reasoning
di: Wei, Yana, et al.
Pubblicazione: (2025)

A Gaze-grounded Visual Question Answering Dataset for Clarifying Ambiguous Japanese Questions
di: Inadumi, Shun, et al.
Pubblicazione: (2024)

Decomposed On-Policy Distillation for Vision-Language Reasoning: Steering Gradients for Visual Grounding
di: Yoon, Hee Suk, et al.
Pubblicazione: (2026)

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

Do Vision-Language Models Really Understand Visual Language?
di: Hou, Yifan, et al.
Pubblicazione: (2024)

TopViewRS: Vision-Language Models as Top-View Spatial Reasoners
di: Li, Chengzu, et al.
Pubblicazione: (2024)

Mechanistic Diagnostics of Spatial Lexical Bias in Multimodal Large Language Model Spatial Reasoning
di: Ma, Chuang, et al.
Pubblicazione: (2026)

STORM: Internalized Modeling for Spatial-Temporal Reasoning in Video-Language Models
di: Liang, Yiming, et al.
Pubblicazione: (2026)

Vision-Language Models Suppress Female Representations Under Ambiguous Input
di: Marin-Llobet, Arnau, et al.
Pubblicazione: (2026)

PROGRESSLM: Towards Progress Reasoning in Vision-Language Models
di: Zhang, Jianshu, et al.
Pubblicazione: (2026)

Advancing Multimodal In-Context Learning in Large Vision-Language Models with Task-aware Demonstrations
di: Li, Yanshu
Pubblicazione: (2025)

On Efficient Language and Vision Assistants for Visually-Situated Natural Language Understanding: What Matters in Reading and Reasoning
di: Kim, Geewook, et al.
Pubblicazione: (2024)

Mechanistic Finetuning of Vision-Language-Action Models via Few-Shot Demonstrations
di: Mitra, Chancharik, et al.
Pubblicazione: (2025)