arXiv (All)
open access
MindWorldBench: Evaluating Mental-State-to-Behavior Reasoning in Image-to-Video Generation
Current image-to-video models achieve visual realism and physical plausibility, but reasoning about mental states remains unexplored. Actions are driven by belief, desire, and perception, requiring inference beyond explicit instructions. We introduce MindWorldBench to evaluate mental-state-condition
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
- CogenPVG: Cognitive-Enhanced Reflective Multi-Agent Framework for Persuasive Video Generation#1061449
- Beyond Saying Less: Fine-Grained Alignment for Informative and Faithful Vision-Language Models#1129887
- V-Gym: Enhancing Agentic Visual Reasoning via Skill-Data Co-Evolution#1128941
- Probabilistic Scene Graphs: Hierarchical Representation and Real-time System#1048890
- ME-VLM: A Unified VLM for Embodied Cognition and Agent Coordination#1061056
Record · ID 1144114
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