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Use when targeting Annual Meeting of the Association for Computational Linguistics (ACL) or deciding whether a computer-science manuscript fits this venue. Encodes conference fit, framing, evidence bar, submission-cycle checks, rebuttal posture, and desk-reject risks for NLP flagship.
Passed 20 of 26 test cases with the skill, and 14 of 26 without it.
and 1 more in the full report
7 fixed13 passed either way5 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.
We designed a novel FPGA hardware accelerator for matrix multiplication in datacenter servers. Is ACL a good target? Evaluate venue fit using [Fit], [Target], [Contribution type], [Main evidence gap], [Official items to re-check], [Top rejection risk], and [Re-route suggestion].
| Checked | Without skill | With skill |
|---|---|---|
| [Fit] starts with Low | Missed | Passed |
| [Contribution type] selects system | Passed | Passed |
| [Re-route suggestion] recommends a computer architecture venue | Passed | Passed |
The instructions your model reads when the skill loads.
Annual Meeting of the Association for Computational Linguistics (ACL) is a top computer-science conference venue for computational linguistics, NLP, language models, semantics, generation, multilinguality, and evaluation. It rewards an NLP paper with clear linguistic or modeling contribution and ARR/ACL-style formatting discipline. Treat this skill as a fit / venue-selection / re-framing tool for conference submission strategy, not as a substitute for the current year's CFP, author kit, ethics policy, or submission portal.
Because CS conferences change deadlines, templates, page limits, review workflow, artifact rules, AI-use policy, and rebuttal formats every cycle, always verify the live official instructions before making a submission-ready recommendation. Start from the official source anchor recorded for this venue in ../../resources/conference-roster.md and ../../resources/official-source-map.md.
conference-on-empirical-methods-in- natural-language-processing (EMNLP), north-american-chapter-of-the-association-for- computational-linguistics (NAACL). Break ties by contribution type, evidence shape,
reviewer community, and the current official CFP from www.aclweb.org.test cases passed, vs 14 / 26 without
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