Hugging Face Tokenizers
Orchestra-Research/AI-Research-SKILLs
Shows how to load, train and use fast Hugging Face tokenizers, with BPE, WordPiece and Unigram models, padding, truncation and alignment tracking.
A skill your agent uses when auditing an EMNLP submission before the ACL Rolling Review deadline, covering ACL-template compliance, the 8-page long / 4-page short caps, the mandatory Limitations…
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill emnlp-submission -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills emnlp-submission --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/EMNLP-Skills/skills/emnlp-submission .claude/skills/emnlp-submission && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "emnlp-submission" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/EMNLP-Skills/skills/emnlp-submission into .claude/skills/emnlp-submission/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "emnlp-submission", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/EMNLP-Skills/skills/emnlp-submissionType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill emnlp-submission -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills emnlp-submission --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/EMNLP-Skills/skills/emnlp-submission .agents/skills/emnlp-submission && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "emnlp-submission" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/EMNLP-Skills/skills/emnlp-submission into .agents/skills/emnlp-submission/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "emnlp-submission", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill emnlp-submission -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills emnlp-submission --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/EMNLP-Skills/skills/emnlp-submission .cursor/skills/emnlp-submission && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "emnlp-submission" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/EMNLP-Skills/skills/emnlp-submission into .cursor/skills/emnlp-submission/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "emnlp-submission", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/brycewang-stanford/Awesome-Journal-Skills.git --path EMNLP-Skills/skills/emnlp-submission--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill emnlp-submission -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills emnlp-submission --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/EMNLP-Skills/skills/emnlp-submission .gemini/skills/emnlp-submission && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "emnlp-submission" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/EMNLP-Skills/skills/emnlp-submission into .gemini/skills/emnlp-submission/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "emnlp-submission", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills emnlp-submissionInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill emnlp-submission -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/EMNLP-Skills/skills/emnlp-submission .github/skills/emnlp-submission && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "emnlp-submission" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/EMNLP-Skills/skills/emnlp-submission into .github/skills/emnlp-submission/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "emnlp-submission", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill emnlp-submission -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills emnlp-submission --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/EMNLP-Skills/skills/emnlp-submission .opencode/skills/emnlp-submission && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "emnlp-submission" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/EMNLP-Skills/skills/emnlp-submission into .opencode/skills/emnlp-submission/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "emnlp-submission", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
emnlp-submissionA skill your agent uses when auditing an EMNLP submission before the ACL Rolling Review deadline, covering ACL-template compliance, the 8-page long / 4-page short caps, the mandatory Limitations…
Emnlp Submission is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when auditing an EMNLP submission before the ACL Rolling Review deadline, covering ACL-template compliance, the 8-page long / 4-page short caps, the mandatory Limitations section, the Responsible NLP checklist and its desk-reject enforcement, anonymization without an anonymity period, venue preference, and reciprocal-reviewing duties.
Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering, covering Natural language processing. The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. | 覆盖主流期刊的… The licence is MIT.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
pdftotextFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Emnlp Submission loads about 1.8k tokens when it runs. Until then it costs about 89 tokens; SKILL.md has 915 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 915 words, ~1,817 tokens.
.claude/skills/emnlp-submission/SKILL.md (or your agent's skills folder).Run this audit before uploading to the ARR OpenReview site. EMNLP does not operate its own
submission portal: the paper enters ACL Rolling Review, and the conference only sees it later
at commitment. Everything below reflects the EMNLP 2026 / ARR May 2026 configuration read on
2026-07-08 — reopen the live CFP and aclrollingreview.org before acting on any number.
Half of the submission rules belong to ARR, half to the conference, and confusing the owners causes real mistakes:
| Question | Who owns the answer | 2026 answer |
|---|---|---|
| Deadline for the reviewed PDF | ARR cycle calendar | May 25, 2026 (May cycle) |
| Page caps and template | ARR CFP | ACL templates; long ≤ 8 content pages, short ≤ 4 |
| Limitations section | ARR CFP | Mandatory, after the conclusion, uncounted |
| Checklist | ARR Responsible NLP checklist | Filed at submission; desk-reject enforced |
| Which venue the paper reaches | Conference commitment | EMNLP commitment due August 2, 2026 |
| Acceptance decision | Conference SACs and PCs | Notification August 20, 2026 |
The May 2026 cycle fed both EMNLP 2026 and AACL-IJCNLP 2026, and the form asked authors to declare the intended venue at submission time. Declare deliberately — the declaration shapes which conference's area chairs eventually argue over your paper.
ACL abolished the anonymity period: you may post and publicize a preprint at any time. The submission itself must still be double-blind. In practice this means the PDF cannot close the loop between itself and your public identity:
# Mechanical leak sweep on the submission PDF and supplementary archive
pdftotext main.pdf - | grep -nEi 'github\.com/[a-z0-9-]+|huggingface\.co/[a-z]|acknowledg|grant'
pdfinfo main.pdf | grep -Ei 'author|creator|producer'
unzip -l supp.zip | grep -Ei '\.git|username|/home/'Since December 2024, ARR desk-rejects submissions whose Responsible NLP checklist answers are incorrect, incomplete, or misleading. Treat the checklist as testimony, not paperwork: answer it against what the PDF actually contains, and fix the PDF where the honest answer would look bad. Typical mismatches that get caught: claiming license documentation the paper lacks, "yes" on reported hyperparameters that appear nowhere, and human-annotation questions skipped because the ratings came from crowdworkers "informally."
The format choice is strategic, not cosmetic, and it interacts with the audit:
ARR's dual-submission rules prohibit the same work being under review at another archival venue simultaneously; the venue-preference declaration does not create an exception. What is not dual submission: a public arXiv preprint (explicitly allowed, no embargo), a non-archival workshop presentation, or a rejected earlier ARR cycle of the same paper. What is: a concurrent NeurIPS/journal submission of substantially the same content, and quietly hoping the calendars never collide. When any prior version of the paper exists — arXiv, workshop, previous ARR cycle — the OpenReview form has fields for saying so; fill them as disclosures, not confessions, because chairs check overlap mechanically and forgiveness for a declared overlap is routine while discovery of an undeclared one is not.
[EMNLP submission status] ready / blocked / at risk
[Format] template, content pages vs cap, Limitations present
[Anonymity] clean / leaks: <where>
[Checklist] consistent / contradictions: <items>
[Obligations] registration form, reciprocal reviewing, venue declaration
[Fix queue] <ordered actions before the ARR deadline>© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in EMNLP-Skills/skills/emnlp-submission of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Emnlp Submission next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Emnlp Submission this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.8k | Automated safety check: Pass | MIT | |
| Hugging Face TokenizersOrchestra-Research/AI-Research-SKILLs | 13k | 6 repos | ~3.4k | Automated safety check: Pass | MIT | |
| OpenMed Model Card Writermaziyarpanahi/openmed | 5.5k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | |
| Gptqmodel Tokenizer NormalizationModelCloud/GPTQModel | 1.3k | — | ~1.1k | Automated safety check: Pass | Custom licence | |
| Andrej KarpathyK-Dense-AI/mimeo | 282 | — | ~1.9k | Automated safety check: Pass | MIT | |
| Comparetaishi-i/awesome-japanese-nlp-resources | 1k | — | ~4.1k | Automated safety check: Notes | CC0-1.0 |
Orchestra-Research/AI-Research-SKILLs
Shows how to load, train and use fast Hugging Face tokenizers, with BPE, WordPiece and Unigram models, padding, truncation and alignment tracking.
maziyarpanahi/openmed
Fills in a model card for an OpenMed clinical NER or de-identification model from its evaluation reports: intended use, metrics, subgroups and limitations.
ModelCloud/GPTQModel
Diagnose and correct GPT-QModel tokenizer initialization, tokenization normalization, special-token handling, prompt rendering, and chat-template problems.
K-Dense-AI/mimeo
Applies the mental models and frameworks of Andrej Karpathy (deep learning, former Director of AI at Tesla, founding member of OpenAI, Eureka Labs).
taishi-i/awesome-japanese-nlp-resources
Compare several Japanese NLP libraries, models, or datasets for a keyword (a specific tool name, or a function/task like '形態素解析') across a handful of criteria chosen for that comparison, rendered as…
taishi-i/awesome-japanese-nlp-resources
Analyze current trends and challenges in Japanese NLP for a topic.
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when running and reporting the analysis for an Annals of the American Association of Geographers manuscript — spatial statistics and modeling, remote-sensing accuracy, or…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when positioning an Annals of the American Association of Geographers manuscript in the literature — engaging geographic scholarship across the relevant area and the…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when responding to an Annals of the American Association of Geographers decision letter (major/minor revision) — building a point-by-point response to the subject editor and…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when defending the research design of an Annals of the American Association of Geographers manuscript — spatial/quantitative analysis and GIScience, remote-sensing and…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when you need to understand how the Annals of the American Association of Geographers evaluates a manuscript — double-anonymous review routed through a subject editor by…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when running the final pre-submission preflight for the Annals of the American Association of Geographers via ScholarOne Manuscripts — area/article-type selection…
Categories
A skill your agent uses when auditing an EMNLP submission before the ACL Rolling Review deadline, covering ACL-template compliance, the 8-page long / 4-page short caps, the mandatory Limitations…. Emnlp Submission is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when auditing an EMNLP submission before the ACL Rolling Review deadline, covering ACL-template compliance, the 8-page long / 4-page short caps, the mandatory Limitations section, the Responsible NLP checklist and its desk-reject enforcement, anonymization without an anonymity period, venue preference, and reciprocal-reviewing duties.
Emnlp Submission fits situations like: auditing an EMNLP submission before the ACL Rolling Review deadline; covering ACL-template compliance; the 8-page long / 4-page short caps; the mandatory Limitations section.
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill emnlp-submission -a claude-code`. Or copy the skill folder (EMNLP-Skills/skills/emnlp-submission in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/emnlp-submission in your project. Claude Code loads it when a task matches its description.
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill emnlp-submission -a codex`. Or copy the skill folder (EMNLP-Skills/skills/emnlp-submission in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/emnlp-submission in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill emnlp-submission -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/emnlp-submission, .gemini/skills/emnlp-submission, .github/skills/emnlp-submission and .opencode/skills/emnlp-submission in your project.
Going by SKILL.md and its folder, Emnlp Submission needs the command-line tools its instructions call (pdftotext).
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Emnlp Submission is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.8k tokens (SKILL.md is roughly 7.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Emnlp Submission: Hugging Face Tokenizers (Orchestra-Research/AI-Research-SKILLs, 13k stars), OpenMed Model Card Writer (maziyarpanahi/openmed, 5.5k stars), Gptqmodel Tokenizer Normalization (ModelCloud/GPTQModel, 1.3k stars) and Andrej Karpathy (K-Dense-AI/mimeo, 282 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.
Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.