research-paper-writing

To write an ML research paper for conference submission without hallucinated citations, this skill fetches BibTeX programmatically and flags unverifiable references as [CITATION NEEDED], ensuring your literature review remains grounded and accurate.

The best way to map experiment logs to a paper narrative is through structured experiment journaling. This skill generates an experiment log template that grounds your writeup, ensuring every claim is backed by reproducible empirical evidence.

Yes, you can use this for NeurIPS, ICML, or ACL paper formatting. It applies reviewer-style guardrails by enforcing venue-specific checklists and formatting constraints during iterative drafting and self-review for major ML venues.

Structuring the iterative drafting and self-review process for an AI paper involves a lifecycle approach. This skill orchestrates the workflow from contribution framing through analysis, drafting, and self-review, explicitly treating it as an iterative refinement loop.

This research paper writing tool supports theory and survey papers, not only empirical ML. It orchestrates the full lifecycle for diverse contribution formats including position papers, ensuring structured drafting guidance across various publication types.