EACL Camera-Ready Preparation
Guides researchers through finalizing camera-ready submissions for EACL and Findings of ACL conferences after acceptance.
The EACL Camera-Ready skill helps NLP researchers navigate the high-stakes, fast-turnaround camera-ready submission phase for EACL and Findings of ACL: EACL. It ensures papers meet all publication standards by providing structured guidance on allocating the extra content page effectively, completing thorough de-anonymization, addressing mandatory meta-review revisions, aligning AI-assistance disclosures, correctly configuring ACL Anthology metadata (including non-ASCII diacritics and CC BY licensing), and preparing public code and dataset artifacts for release.
Key Features
01Optimizes the additional content page to resolve reviewer critiques and missing ablations
02Provides a systematic de-anonymization checklist for authors, acknowledgments, citations, and metadata
03Verifies meta-review compliance and aligns AI disclosures with Responsible NLP standards
04Formats ACL Anthology metadata with exact diacritics, author orders, and CC BY 4.0 licensing
05Guides public artifact and code repository releases with version tagging and documentation
061,074 GitHub stars
Use Cases
01Finalizing an accepted EACL main conference or Findings paper during the tight camera-ready window
02Audit-checking camera-ready PDFs and ACL Anthology metadata before final portal submission
03Systematically de-anonymizing ACL rolling review (ARR) submissions and linking public code repositories