Documentation
README
ACL Artifact Evaluation
Use this to plan the evidence package around an ACL paper. ACL has no separate artifact-badge track; instead, artifact scrutiny is folded into review through the supplement archive and Section B ("scientific artifacts") of the Responsible NLP checklist, which reviewers cross-check against the PDF.
What counts as an artifact here
- Code: training/inference scripts, evaluation harnesses, prompt templates.
- Data: new corpora, annotations, filtered subsets of existing corpora, test suites, adversarial sets.
- Model outputs: generations, ranked lists, logits used in analysis — often the cheapest way to make an LLM paper checkable without GPUs.
- Human-subject materials: annotation guidelines, interface screenshots, consent text, compensation description.
This is the opening of the README. Read the full README on GitHub.