Individual skill

neurips-related-work

Use when positioning a NeurIPS submission against current-cycle ML literature, contemporaneous work, preprints, neighboring conferences, and the exact technical delta from prior methods.

NeurIPS-Skills/skills/neurips-related-work/SKILL.md

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# NeurIPS Related Work

Use this skill when novelty or positioning is the main risk. NeurIPS reviewers will often know
recent papers from neighboring AI venues and preprint streams; stale comparisons are a serious
weakness.

## What to cover

- Direct technical ancestors: methods with the same objective, architecture, proof technique,
  benchmark, dataset, or deployment problem.
- Neighboring venues: ICML, ICLR, AAAI, IJCAI, AISTATS, UAI, COLT, MLSys, KDD, CVPR, ACL, EMNLP,
  SIGIR, ICRA, CHI, and other subfield venues as relevant.
- Contemporaneous work: papers that appeared during the current review window. The 2026 handbook
  treats work appearing online after March 1, 2026 as contemporaneous for review purposes, but
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