54건 · 관련도순
Help authors learn from exemplary ICLR, ICML, and NeurIPS papers through source-linked manuscript comparisons, concrete writing and experiment suggestions, and guided reflection. Use for research storytelling, contribution framing, paper comparison, figure planning, or research retrospectives. Not an acceptance predictor or a routine grammar/citation formatter.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Refine academic writing for computer science research papers targeting top-tier venues (NeurIPS, ICLR, ICML, AAAI, IJCAI, ACL, EMNLP, NAACL, CVPR, WWW, KDD, SIGIR, CIKM, and similar). Use this skill whenever a user asks to improve, polish, refine, edit, or proofread academic or research writing — including paper drafts, abstracts, introductions, related work sections, methodology descriptions, experiment write-ups, or conclusion sections. Also trigger when users paste LaTeX content and ask for writing help, mention "camera-ready", "rebuttal", "paper revision", or reference any academic venue or conference. This skill handles both full paper refinement and section-by-section editing.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Write ML papers for NeurIPS/ICML/ICLR: design→submit.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Write ML papers for NeurIPS/ICML/ICLR: design→submit.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Write ML papers for NeurIPS/ICML/ICLR: design→submit.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
End-to-end pipeline for writing ML/AI research papers — from experiment design through analysis, drafting, revision, and submission. Covers NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Integrates automated experiment monitoring, statistical analysis, iterative writing, and citation verification.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.