Frameworks

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.

Original source ↗Read as MarkdownRecord JSON

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

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

GUI groundingReinforcement learningEfficiency

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.

  1. editorial primary review

    Retrieved 2026-10-17T12:30:55Z. Supports: name, kind, summary, environments, topics, scope, notes, relations.

    Content fingerprint41c235305d28f6ba77ba1c5d1d9298fd6b1bd68ae3c9ea97eb34a8d22d0ba1dc
  2. editorial primary review

    Retrieved 2026-10-17T12:30:55Z. Supports: identity.

    Content fingerprintf5823de05f4828a8ab367ef13ec3a8338e020f0876e153ac2e944e4eb0e242c0
  3. editorial primary review

    Retrieved 2026-10-17T12:32:06Z. Supports: release_status, details.repository_revision, licenses.code.

    Content fingerprint98ed8f0fa50699b8a3d0e8a71cd008113009a3072b971b8fadf2b92f68877e1e
  4. editorial primary review

    Retrieved 2026-10-17T12:34:10Z. Supports: notes, licenses.code.

    Content fingerprintc71d239df91726fc519c6eb72d318ec65820627232b2f796219e87dcf35d0ab4
  5. editorial primary review

    Retrieved 2026-10-17T12:34:10Z. Supports: notes, licenses.code.

    Content fingerprintc71d239df91726fc519c6eb72d318ec65820627232b2f796219e87dcf35d0ab4

Suggest a correction

Open a source-backed correction. Include this record ID and the original source. Read our editorial policy and coverage boundaries.