AI Proofreading for Conference Papers (IEEE, ACM, NeurIPS): Last-Mile Editing Under Deadline

NeurIPS submissions opened in mid-May this year. By the deadline, the system processed roughly 19,000 papers in the final 36 hours. A meaningful fraction were withdrawn or auto-rejected for formatting violations the authors could have caught with a thirty-minute checklist. IEEE conferences see similar patterns. ACM SIG papers, too. The combination of strict page limits, mandatory style files, and double-blind anonymization rules turns conference submission into a precision exercise that's mostly mechanical — and that's mostly fumbled in the last 24 hours.

This guide is about the last-mile work. Not how to write a good paper; how to ship a clean one without breaking it in the final edit. We'll cover what differs between conferences and journals, the specific style-file traps for IEEE, ACM, and NeurIPS, anonymization checks that catch the easy mistakes, the last-48-hours checklist we recommend to authors we work with, the camera-ready trap that catches even experienced authors, and an AI editing workflow tuned for deadline pressure.

Why conferences differ from journals

Five differences shape conference submission in ways that matter for last-mile editing.

Strict page limits, hard-enforced. Journal page limits are often suggestions. Conference page limits are typically firm — 8 or 9 pages of content plus a fixed-length references section. Overflow by even a paragraph triggers automatic rejection at most venues. Most journal-submission habits (write long, trim if asked) get you rejected at conferences.

Mandatory style files. Conferences supply LaTeX style files (or Word templates) that authors must use. The style file controls margins, font, citation format, section heading style, line spacing. Modifying the style file to gain space is forbidden and typically detected. Mistakes with the style file are the single largest source of formatting rejections.

Anonymization in double-blind venues. Many top CS conferences (NeurIPS, ICML, ACL, EMNLP, ICLR) use double-blind review. Authors must remove identifying information from the submission — author names, affiliations, acknowledgments, self-citations phrased in identifying ways. A self-reference like "in our prior work [12]" needs to become "in prior work [12]" or "as shown by [12]." Catching missed deanonymization is part of the last-mile checklist.

Tight review cycles. Conference reviews happen on a fixed schedule with weeks, not months. Reviewer fatigue is real and shows up as terse feedback. The first impression — first page, first half-page of the abstract — carries more weight than in journal review. Editing for first-page impact matters.

Camera-ready is a separate edit. Most conferences accept first, then request a "camera-ready" version that incorporates reviewer feedback, may have a slightly different page limit, and must be in the final style. The camera-ready edit is where many authors break their accepted paper by editing too aggressively in a different style file.

Style-file traps

The three big venue style files each have a few specific gotchas.

IEEE Conference (IEEEtran). The IEEE conference template uses a two-column layout with strict margins. The most common author errors: changing the column separator or margin sizes to gain space (forbidden, often detected), modifying the bibliography style (must remain IEEE), and using \vspace or \setlength adjustments to compress vertical space. Acceptable space-saving moves are paragraph rewriting, figure resizing, and table compression — not style changes. The IEEE-specific bibliography format also has quirks: page numbers go in a specific position, journal names are abbreviated to a standard list, and conference proceedings are formatted with a specific year-and-location convention.

ACM (acmart). The ACM template acmart has several "flavors" — sigconf, sigchi, acmsmall, acmlarge — and the conference instructions specify which one to use. Using the wrong flavor produces a paper that looks plausibly right but fails ACM's automated check. The reference list must use the ACM Reference Format. Many conferences also require ACM CCS Concepts and Keywords on the first page; these are mandatory and easy to forget.

NeurIPS / ICML / ICLR. The NeurIPS style file enforces single-column layout with specific margins, font, and line spacing. The page limit is typically 9 content pages plus unlimited references. The supplementary material goes in a separate file with its own page limit. The most common author error is forgetting to comment out the \usepackage{neurips_2026} final flag (for the camera-ready, the flag is set; for the initial submission, it's set differently — getting this wrong triggers anonymization failures). The NeurIPS template also has a specific format for the abstract and introduction that some authors override accidentally.

Anonymization checks for double-blind submission

For any double-blind venue, a careful anonymization pass is the difference between review and desk-rejection.

Remove author names and affiliations. The style file usually provides a flag (e.g., \submissiontrue in NeurIPS) that replaces author names with "Anonymous Author(s)." Set the flag. Verify by compiling and checking the title page.

Anonymize the acknowledgments section. Acknowledgments often contain funding sources or thanks to specific people that identify the lab. Remove the entire section for the initial submission. Add it back in the camera-ready.

Rephrase self-citations. "In our previous work [Smith et al., 2024]" identifies you. Change to "In prior work [Smith et al., 2024]" or "Smith et al. [2024] showed..." The citation stays; the framing changes.

Check the PDF metadata. PDF files carry metadata showing the author name, software used, and sometimes the file path on the author's computer. Run exiftool or use a metadata viewer to check. Most LaTeX engines embed metadata automatically; the fix is to clear it before submission.

Check filenames. A filename like smith_paper_v3.pdf deanonymizes you. Rename before upload.

Check links and URLs. A GitHub link to github.com/yourusername/project identifies you. For double-blind, either remove the link, replace with an anonymized version, or use a paper-anon service that hosts an anonymous copy.

Check supplementary material. Supplementary PDFs, code, and data files all need the same anonymization treatment. Many submissions are deanonymized by a supplementary file the author forgot to scrub.

The last-48-hours checklist

A practical sequence for the final two days before deadline.

T-48 hours: final draft complete.

• Read the paper end to end, aloud if possible.
• Verify all figures are referenced, all references cited, all sections present.
• Check page count against the venue's limit. If you're over, start cutting now.

T-36 hours: editing pass.

• Run the paper through an AI proofreader for grammar and tone. For LaTeX, paste prose chunks section by section using the LaTeX proofreading workflow to avoid breaking math or citations.
• Review tracked changes deliberately. For deadline editing, lean toward accepting changes that tighten, rejecting changes that flatten voice or introduce ambiguity.
• Apply edits back to the source LaTeX or Word file. Compile after each major section.

T-24 hours: structural check.

• Verify the style file is correct and not modified.
• Verify all figures and tables are sized correctly within column or page constraints.
• Check the abstract is within the venue's word/character limit.
• For double-blind venues, run the full anonymization checklist above.
• Final compile. Page count check. If still over, do the structural cuts from our cutting words guide.

T-12 hours: submission dry run.

• Open the submission portal. Upload your PDF. Don't submit yet — verify what the portal accepts.
• If the portal does automatic format checks (NeurIPS, ICML, many IEEE conferences do this), fix anything it flags. The portal's check is the most authoritative version of "does this submission count as valid."
• Verify supplementary material uploads correctly if required.

T-4 hours: final read and submit.

• Last read for typos that survived editing.
• Submit. Don't wait for the last hour — submission systems frequently crash in the final hour.
• Verify the submission confirmation email arrives.

The mistake most authors make is leaving the editing pass to T-12 or T-6. The editing introduces last-minute breakages (LaTeX compilation errors, citation drift) that need fix-and-recompile time you don't have at T-4.

Camera-ready: the trap that catches experienced authors

Acceptance is not the end of the editing. The camera-ready version has its own deadline, often 4-6 weeks after acceptance, and its own requirements. Many accepted papers get withdrawn at camera-ready because authors broke them in the final edit.

The common failure modes:

Edited in the wrong style file. Some venues use a different style file for camera-ready than for submission. Using the submission style file produces a paper that doesn't meet final requirements. Read the camera-ready instructions carefully; the style file is usually different.

Added too much new content. Reviewers asked for clarifications. You added them. The paper went from 9 pages to 10. You're over the camera-ready limit and there's no extension. The lesson: budget your camera-ready edits against the page limit before you start, not after.

Restored deanonymization incorrectly. Adding author names back, restoring acknowledgments, and adding funding citations are camera-ready tasks. Doing them wrong (e.g., adding author names but forgetting acknowledgments) catches careful readers.

Broke a figure or table. Resizing a figure to make space in the camera-ready can produce illegible labels or off-page content. Always compile and visually verify after any figure adjustment.

Forgot to update the bibliography. Reviewers sometimes suggest references. Adding them changes citation numbers throughout the paper if you're using numeric citations. Verify all in-text citations still resolve correctly.

The safe approach: treat camera-ready as a full second submission rather than a touch-up. Schedule it that way. Allow at least 2-3 days for the editing pass, not the same evening as the deadline.

AI editing under deadline pressure

A workflow that produces clean editing without breaking the paper in the final hours.

Step 1: Chunk the paper. Don't paste the entire LaTeX source into a tool. Chunk by section (abstract, intro, related work, methods, experiments, conclusion). For LaTeX papers, the LaTeX/Overleaf proofreading workflow covers the placeholder system for math and citations.

Step 2: Run a Standard editing pass on each chunk. Standard is the right depth for deadline work — it catches grammar, tightens phrasing, and improves clarity without restructuring arguments. Avoid Comprehensive under deadline; it makes more aggressive changes you may not have time to review carefully.

Step 3: Accept conservatively. Under deadline, the right rule is "accept changes that clearly tighten or correct; reject anything ambiguous." A change you can't quickly evaluate is a change to reject. Pre-deadline is not the time to consider whether an alternative phrasing is genuinely better; it's the time to lock in clear improvements and ship.

Step 4: Compile after each section. LaTeX papers especially. A change that breaks compilation discovered at T-2 hours is worst case. Discovering it at T-20 hours after a section edit lets you fix it without panic.

Step 5: Final read and submit early. Submit at T-4 to T-6 hours, not T-1. Conference submission systems crash, internet goes down, the file you upload is the wrong version. The buffer is essential.

Common author errors

A short list of errors we see catching experienced authors.

Acronym defined in the abstract, undefined in the body. The abstract is parsed separately; the body has to define the acronym again on first use.

References that don't appear in the bibliography. A \cite{smith2024} to a key that's not in the .bib file produces a ? in the compiled PDF. Always check the compiled output for unresolved citations.

Figures with text smaller than 8 points. Most venues require minimum font sizes in figures. A figure that renders with 6-point axis labels gets flagged at automated checks.

Tables that overflow the column. A wide table in a two-column layout that runs off the page renders poorly. Use \resizebox or pivot the table to fit.

Missing supplementary requirements. Many venues require a checklist (NeurIPS reproducibility checklist, ICML ethics statement) as supplementary. Missing it gets the paper desk-rejected.

Wrong version uploaded. You compiled the latest version. You uploaded a version from two hours ago. Verify the upload by downloading the PDF after submission and checking the timestamp on the first page or in the metadata.

See the Full AI Proofreader

Tracked-changes editing for academic prose. Free tier includes every feature.

Frequently asked questions

Q: How much editing should I do in the final 24 hours before the deadline?

Editing only, not writing. The substance of the paper should be complete by T-48 hours. The final 24 hours should be reserved for proofreading, tightening, anonymization checks, formatting verification, and final compile-and-upload. Writing new content under deadline pressure usually introduces errors that catch you at the worst time. If the science isn't done at T-48, the answer is to submit a tighter version of what's done, not to write more.

Q: Will reviewers notice if my paper has language issues?

Yes, reliably. Conference reviewers read fast and form judgments quickly. A paper with consistent grammar errors or awkward phrasing reads as less polished, which can shift a borderline accept toward reject. Top venues have reviewers who read for content and assume language is clean; rougher language pushes the reviewer's attention to the surface rather than the substance. Investing 2-4 hours in a language-editing pass before submission is high-yield time.

Q: Should I use AI to write parts of my conference paper?

Most major conferences allow AI editing of author-written content with disclosure. Generating substantive content with AI is more contested — some venues prohibit it explicitly (often in abstracts or specific sections), some require disclosure, some leave it to author judgment. Read the call for papers for your venue. Our AI-use disclosure guide covers the templates that work across most venues. Whatever you do, disclose it. Hidden AI use that's discovered later is much worse than disclosed use that's permitted.

Q: My paper is borderline over the page limit. What do I do?

In order of how much they save without changing content: (1) Resize figures to fit available space more efficiently. (2) Tighten figure captions to one or two sentences. (3) Move secondary details to supplementary material if the venue allows it. (4) Apply the sentence-level cuts from our cutting words guide — zombie nouns, paired connectives, "in order to," hedging chains. (5) As a last resort, cut a paragraph from the related work or a redundant experiment description. Don't compress vertical spacing with \vspace adjustments; venues detect this and treat it as a rule violation.