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research-paper-writing

Guides end-to-end ML research paper production from experiment design through conference submission.

5|2|Updated May 26, 2026
Search Tags:#citations#statistical analysis#latex#research paper#experiments#neurips#conference submission
One-click install
npx skills add https://github.com/perasyudha/Nyxora --skill research-paper-writing-perasyudha
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: research-paper-writing
Source: https://github.com/perasyudha/Nyxora/tree/main/packages/core/playbooks/research/research-paper-writing
Command: npx skills add https://github.com/perasyudha/Nyxora --skill research-paper-writing-perasyudha

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires semanticscholar, arxiv, habanero, requests, scipy, numpy, matplotlib, SciencePlots, and includes references (resource) and assets (resource) components.

What problem does it solve? Writing a publication-ready ML/AI research paper involves coordinating literature review, experiment design, statistical analysis, LaTeX drafting, citation verification, and venue-specific submission requirements. This Skill provides a structured, iterative pipeline that prevents common failure modes like hallucinated citations, unsupported claims, and desk rejections from missing checklists. ## Core Features & Use Cases - Full Research Lifecycle: Covers project setup, literature review, experiment design, execution monitoring, statistical analysis, drafting, self-review, and submission for NeurIPS, ICML, ICLR, ACL, AAAI, and COLM. - Citation Verification Workflow: Programmatic citation retrieval via Semantic Scholar, CrossRef, and arXiv APIs with a mandatory 5-step verification process to eliminate hallucinated references. - Experiment & Analysis Patterns: Incremental result saving, crash recovery, McNemar's test, bootstrapped confidence intervals, blind judge panels, and human evaluation design with inter-annotator agreement metrics. - Venue Templates & Checklists: Official LaTeX templates for six conferences plus complete submission checklists covering page limits, reproducibility statements, and ethics requirements. - Use Case: A researcher with experimental results asks the agent to draft an ICML submission; the Skill verifies all citations programmatically, generates booktabs tables with error bars, applies the icml2026 template, and runs a simulated reviewer pass before submission. ## Quick Start Ask the agent to start a research paper from your existing codebase and results, specifying the target venue such as ICML or NeurIPS.

Frequently Asked Questions about research-paper-writing

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I write an ML research paper for NeurIPS or ICML with an AI agent?▼

Follow the phased pipeline: set up the workspace and contribution statement, run a breadth-then-depth literature search, design experiments mapped to claims, analyze results with significance tests, then draft using the venue's official LaTeX template. The process is iterative, with self-review loops before submission.

How do I prevent hallucinated citations in AI-generated papers?▼

Never generate BibTeX from memory; fetch it programmatically via DOI content negotiation from CrossRef. Verify each paper exists in at least two sources such as Semantic Scholar and arXiv, and confirm the cited claim actually appears in the paper before adding it to the bibliography.

What statistical tests should I use to compare ML methods in a paper?▼

Use McNemar's test for paired binary outcomes on the same problems, bootstrapped confidence intervals for aggregate metrics, and Cohen's h for effect sizes on proportions. Always report sample sizes, number of runs, and whether error bars show standard deviation or standard error.

Which LaTeX templates are included for conference submissions?▼

Official templates are provided for ICML 2026, ICLR 2026, NeurIPS 2025, ACL, AAAI 2026, and COLM 2025, each with the correct style file, bibliography style, and example document. Page limits and anonymization rules are documented per venue.

When should I use human evaluation instead of automated metrics?▼

Use human evaluation for subjective generation tasks like summarization or dialogue where automated metrics miss fluency and preference, especially at ACL venues. Design pairwise comparisons with at least 3 annotators, report Krippendorff's alpha for agreement, and document compensation.

What causes desk rejection at major ML conferences?▼

Common causes include missing the mandatory NeurIPS paper checklist, modified AAAI template formatting, absent Limitations sections at ACL, undisclosed LLM use at ICLR, and exceeding page limits. The universal pre-submission checklist covers formatting, reproducibility, and ethics requirements.

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