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research-paper-writing

Write submission-ready ML/AI research papers for NeurIPS, ICML, ICLR, ACL, AAAI, and COLM.

Updated May 16, 2026
Search Tags:#research#literature review#citation verification#statistical analysis#experiments#paper writing#LaTeX submission
One-click install
npx skills add https://github.com/jaredcroxton/hermes-mirror --skill research-paper-writing-jaredcroxton
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: research-paper-writing
Source: https://github.com/jaredcroxton/hermes-mirror/tree/main/agents/skills/research/research-paper-writing
Command: npx skills add https://github.com/jaredcroxton/hermes-mirror --skill research-paper-writing-jaredcroxton

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

It streamlines the end-to-end process of turning an ML research idea into a submission-ready paper by coordinating iterative experiment design, evidence-grounded writing, citation verification, and revision based on feedback.

Core Features & Use Cases

  • Venue-targeted paper production: Covers the full lifecycle for NeurIPS, ICML, ICLR, ACL, AAAI, and COLM with an explicit iterative loop across design, experiments, drafting, review, and submission.
  • Experiment-to-claim discipline: Maps each paper claim to specific experiments and enforces that results support narrative structure.
  • Citation integrity: Prevents hallucinated citations by requiring programmatic lookup and marking unverifiable items as CITATION NEEDED.
  • Experiment operations at scale: Recommends robust monitoring, crash-safe result saving, journal-style exploration tracking, and statistical analysis patterns.
  • Submission readiness support: Includes conference-relevant expectations (e.g., checklists and reporting standards) and guidance for formatting/figures/tables.

Quick Start

Use the research-paper-writing skill to create a NeurIPS submission draft by first defining a single-sentence contribution, then running claim-mapped experiments, then writing an evidence-grounded first paper draft for iterative self-review.

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 NeurIPS submission paper with verified citations and mapped experiments?▼

Writing a NeurIPS submission involves an iterative workflow mapping experiments to specific claims, verifying citations programmatically via Semantic Scholar, and drafting evidence-grounded text through review-driven feedback loops.

How do I run ML experiments with crash recovery and statistical rigor for paper writing?▼

Running ML experiments for paper writing requires robust monitoring, crash-safe result saving, journal-style exploration tracking, and statistical analysis patterns using SciPy and NumPy to ensure results support narrative claims.

Can I prevent hallucinated citations when doing a literature review for an ICML paper?▼

Preventing hallucinated citations during an ICML literature review requires tool-driven paper discovery and citation verification using Semantic Scholar and arXiv, marking unverifiable items as CITATION NEEDED.

Does this research paper workflow support AAAI and ACL conference formatting and checklists?▼

This research paper workflow supports AAAI and ACL formatting and checklists by including conference-relevant expectations, reporting standards, and guidance for formatting figures and tables for submission readiness.

What's the best way to structure an ML research paper draft from experiment results?▼

Structuring an ML research paper draft from experiment results requires enforcing an experiment-to-claim discipline, mapping each paper claim to specific experiments to ensure results support the narrative structure.

How do I generate plots for ML research papers using LaTeX and SciencePlots?▼

Generating plots for ML research papers using LaTeX and SciencePlots involves creating Matplotlib visualizations formatted for academic submission standards, ensuring figures meet conference-specific reporting requirements.

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