arXiv (All)
open access
Game2Real-Bench: Do Toy Games Reveal and Transfer to Real-World Visual Reasoning?
Visual reasoning is an important capability for vision-language models (VLMs) to understand visual evidence, spatial structure, constraints, and state changes. Existing evaluations mainly rely on real-world data or procedurally generated tasks. Real-world data preserve natural complexity, while proc
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Plan-Bench: Can Existing VLMs Go Well Beyond Perception to Reason and Plan in Embodied Worlds?#1344716
- Game Arena: Strategic LLM Evaluation in Competitive Environments#1106172
- EMemBench: Interactive Benchmarking of Episodic Memory for VLM Agents#798739
- EMemBench: Interactive Benchmarking of Episodic Memory for VLM Agents#797325
- BareBones: Benchmarking Zero-Shot Geometric Comprehension in VLMs#1216278
Record · ID 1344326
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive