Skill

acl-experiments

Use when designing or auditing experiments for an ACL paper, covering tuned LLM baselines, multi-dataset and multilingual evaluation, statistical significance and variance, human evaluation with agreement reporting, contamination and prompt-sensitivity controls, ablations, and error-analysis expectations in NLP reviewing.

Bundled with Awesome-Journal-Skills. Its trust score, security findings and other files are on the plugin page.

SKILL.md

Path: ACL-Skills/skills/acl-experiments/SKILL.md
Size: 5.6 KB
SHA-256: e0fd77fd0f622b5a2510b72ed19481d722569f0815d45898a3d4ca114f86fc66

View source on GitHub
All skills in this plugin

Install

Install the plugin's skills with the Skills CLI:

npx [email protected] add brycewang-stanford/Awesome-Journal-Skills