domains / families / research / emnlp-artifact-evaluation

emnlp-artifact-evaluation

separate

Use when packaging the artifacts of an EMNLP paper — datasets, annotation guidelines, prompts, evaluation code, and model outputs — as anonymous review-time evidence or public post-acceptance releases, with licensing, data statements, and the inspection order NLP reviewers actually follow.

When to use

• packaging EMNLP paper artifacts
• preparing anonymous review-time evidence
• creating public post-acceptance releases
• documenting data statements
• managing artifact licensing
• structuring prompts and outputs
• handling restricted or unreleasable material
• versioning artifacts after release

When not to use

• writing the scientific claim of the paper
• running model evaluations
• collecting new data
• designing annotation tasks

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