arXiv (All)
open access
PhysVista: Benchmarking Physical Intelligence in VLMs via a Perception-Reasoning-Assessment Loop
Vision-Language Models (VLMs) have shown strong multimodal reasoning capabilities, yet whether they truly capture the physical consistency underlying real-world dynamics remains unclear. Existing benchmark paradigms often suffer from fragmented evaluation, focusing on isolated cognitive stages while
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
- RetroHolmes: When Semantic Plausibility Fails Retrospective Physical Process Reasoning#1118644
- Robusto-2: Benchmarking Humans & VLMs for Autonomous Driving in Lima & New York City#1083120
- VISTA: A Visual Harness for Reasoning in an Interactive World#1161062
- VISTA: A Visual Harness for Reasoning in an Interactive World#1157548
- OpenVAM: Open-World Visual Attention Modeling with VLMs#1106063
Record · ID 1155494
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