research-paper-writing

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

Updated Jun 17, 2026
One-click install
npx skills add https://github.com/i-bebsi/hermes-agent --skill research-paper-writing-i-bebsi
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: research-paper-writing
Source: https://github.com/i-bebsi/hermes-agent/tree/main/hermes-config/skills/research/research-paper-writing
Command: npx skills add https://github.com/i-bebsi/hermes-agent --skill research-paper-writing-i-bebsi

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 experiments, verified citations, statistical analysis, LaTeX formatting, and venue-specific checklists, and mistakes like hallucinated citations or missing NeurIPS checklist items cause desk rejections. ## Core Features & Use Cases - Full Research Lifecycle Pipeline: Covers project setup, literature review, experiment design, execution monitoring, statistical analysis, drafting, self-review, and submission for NeurIPS, ICML, ICLR, ACL, AAAI, and COLM. - Verified Citation Workflow: Fetches BibTeX programmatically via Semantic Scholar, CrossRef, and arXiv APIs instead of generating citations from memory, with a mandatory 5-step verification process. - Venue Templates & Checklists: Ships official LaTeX templates for six conferences plus pre-submission checklists covering page limits, reproducibility statements, and ethics requirements. - Use Case: A researcher with experimental results in a codebase asks the agent to design ablation studies, run them with monitoring, analyze significance with McNemar's test, and produce an ICML-formatted draft with verified references. ## Quick Start Help me turn my experiment results in this repository into an ICML 2026 submission draft with verified citations and statistical analysis.

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 a machine learning paper for NeurIPS or ICML?▼

Follow a phased pipeline: define a one-sentence contribution, map every experiment to a paper claim, run baselines with statistical tests, then draft using the venue's official LaTeX template. Complete the mandatory NeurIPS checklist or ICML reproducibility statement before submission to avoid desk rejection.

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

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

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

Use McNemar's test for comparing two methods on the same problems, bootstrapped confidence intervals for key metrics, and Cohen's h for effect size on proportions. Always report sample sizes, number of runs, and whether error bars show standard deviation or standard error.

Which LaTeX template should I use for ICLR 2026 or AAAI 2026?▼

Use the official style files: iclr2026_conference.sty with the submission option for ICLR, and aaai2026.sty for AAAI, which enforces the strictest formatting rules. The templates directory includes ICML 2026, NeurIPS 2025, ACL, and COLM 2025 variants with example documents.

When should I use iterative refinement versus a single-pass draft?▼

Use autoreason-style iterative refinement for mid-tier models on constrained tasks, where the generation-evaluation gap is largest. For frontier models on unconstrained tasks, single-pass or critique-and-revise performs better because synthesis drift prevents convergence.

What are the page limits for major ML conferences?▼

NeurIPS allows 9 pages, ICML 8 pages, ICLR 9 pages, ACL 8 pages for long papers, AAAI 7 pages, and COLM 9 pages for main content. References and appendices are unlimited at all of these venues, and camera-ready versions typically get one extra page.