SPIN Unprocessed July 9, 2026 ai_technology research
Evaluation of Multilingual Ability to Use Spatial Deictic Expressions in Vision-Language Models
View original on arxiv.orgOverview
arXiv:2607.07251v1 Announce Type: new Abstract: One of the expected abilities of vision-language models (VLMs) is spatial reasoning ability based on a given text and image. To evaluate the spatial reasoning abilities of VLMs, we focus on the use of spatial deictic expressions, which are defined as spatial expressions whose referent is determined by their situational context, such as ``this'' and ``that''. To handle spatial deictic expressions, VLMs must jointly reason over language and visual sp
SpinGraph analysis pending — check back after processing.
Ask AI about this story
Opens with the SpinGraph .md URL and structured context — one click, prompt included.
More from arXiv Computation and Language
View all →- Think Big, Search Small: Where Capacity Matters in Hierarchical Search Agents?
- SynthAVE: Scalable Synthetic Labeling for E-Commerce with LLM-Arena Validation
- DeLS-Spec: Decoupled Long-Short Contexts for Parallel Speculative Drafting
- Transformer-based segmentation of prosodic boundaries in Brazilian Portuguese
- TF-Engram: A Train-Free Engram with SSD-Backed Memory for Large Language Models
- R^3: Advertisement Compliance Rectification via Group-Relative Experience Extractor and Curriculum Reinforcement
Markdown (.md) · JSON-LD schema (.json) · Machine-readable for AI & GEO