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OpenHallu

OpenHallu is a research hub for multimodal hallucination papers, datasets, benchmarks, detection, quantification, and mitigation methods.

Local development

cd frontend
npm ci
npm run dev

Open http://localhost:3000 in a browser.

Contributing

Create a feature branch from main, open a pull request, and merge only after the checks pass. Changes merged into main automatically deploy the website.

Agent-assisted curation

The repository includes the openhallu-curation Agent Skill. It guides an agent to verify primary sources, add the first three authors and affiliations, use direct paper/GitHub/Hugging Face links, and keep the Papers page, domain collection, release dates, and homepage-derived counts in sync without changing the site's visual design.

Run your agent from the repository root and reference the skill explicitly. For example:

Use $openhallu-curation to add <paper title> to OpenHallu. Verify the paper,
GitHub, Hugging Face dataset/model, first-post date, first three authors,
corresponding authors, and affiliations. Synchronize Papers and every relevant
Mitigation, Detection, Quantification, or Dataset & Bench collection. Preserve
the current site structure and visual style. Add two to four evidence-grounded
method tags, then run all validation steps.
Do not commit or push.

For a coworker's publication, include the title or arXiv URL and identify the relevant collection. Ask the agent to leave unavailable metadata unspecified rather than inventing it. Review the diff and links before committing; only add commit and push to the prompt when that action is intended.

Deployment

The GitHub Actions workflow in .github/workflows/deploy-pages.yml builds the static export from frontend/ and deploys it to GitHub Pages. For the openhallu/openhallu repository, the published site is:

https://openhallu.github.io/openhallu/

The generated frontend/out/ directory and local reference PDFs are excluded from Git because they are not required for deployment.

About

The official repository for Open Hallucination, a unified platform for hallucination research and evaluation.

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