GUI-RC / GUI-RCPO
GUI-grounding research code for spatial voting across sampled predictions and test-time policy optimization using region-consistency rewards.
AI-assisted editorial review against a primary source. This is a catalog annotation, not an independent reproduction or endorsement.
What is this resource?
- Resource type
- Frameworks
- Environment
- cross-platform, desktop, web
- Topics
- grounding, reinforcement-learning, efficiency
- Record publication date
- Not recorded
- Evidence retrieved
- 2026-10-17T12:30:55Z
- Resource ID
- github:zju-real/gui-rcpo
What licenses are recorded?
Code, training data, weights, and documents can have different terms. A blank declaration means unknown, not unrestricted use.
- Code
- Not recorded
- Data
- Not recorded
- Document
- Not recorded
- Weights
- Not recorded
License review notes
- Code: Only subdirectory Apache-2.0 notices were established; no blanket project-source declaration is inferred. Source 1 Source 2 Source 3
Recorded specifications
- availability
- Public region-voting evaluation and policy-optimization source; model/data dependencies external.
- license components note
- Apache-2.0 notices in VLM-R1 subdirectories do not establish a root-project license.
- repository revision
- af15ed5fe8b89b0fe5043a3e94f2984c7b126a4b
Explore related topics
Scope and limitations
The tree contains GUI-RC evaluation code and VLM-R1-based training scripts, with example JSONL-format paths. It requires separately supplied models and benchmark images; no released trained checkpoint is established here. Apache-2.0 files exist inside VLM-R1 subdirectories, but no repository-wide license is present for all newly added code, so the code slot remains unknown and the component notices are retained.
Related resources
Primary evidence and verification
Source retrieval is separate from experiment reproduction. Use the original publication or publisher page when citing claims about the resource.
- editorial primary review
Retrieved 2026-10-17T12:30:55Z. Supports: name, kind, summary, environments, topics, scope, notes, relations.
Content fingerprint
41c235305d28f6ba77ba1c5d1d9298fd6b1bd68ae3c9ea97eb34a8d22d0ba1dc - editorial primary review
Retrieved 2026-10-17T12:30:55Z. Supports: identity.
Content fingerprint
f5823de05f4828a8ab367ef13ec3a8338e020f0876e153ac2e944e4eb0e242c0 - editorial primary review
Retrieved 2026-10-17T12:32:06Z. Supports: release_status, details.repository_revision, licenses.code.
Content fingerprint
98ed8f0fa50699b8a3d0e8a71cd008113009a3072b971b8fadf2b92f68877e1e - editorial primary review
Retrieved 2026-10-17T12:34:10Z. Supports: notes, licenses.code.
Content fingerprint
c71d239df91726fc519c6eb72d318ec65820627232b2f796219e87dcf35d0ab4 - editorial primary review
Retrieved 2026-10-17T12:34:10Z. Supports: notes, licenses.code.
Content fingerprint
c71d239df91726fc519c6eb72d318ec65820627232b2f796219e87dcf35d0ab4
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