GFrontier LabScientific method· about 120 min· fast-moving, sources checked often· verified 2026-09-20· EN
Reviewing other people's work
Be able to give a constructive, evidence-based review of an experiment.
Prerequisites
- FWriting a technical reportrequired
- GAblation studiesrequired
Intuition
A good review answers three questions, in this order:
- What is claimed? Summarise the contribution in your own words. If you cannot, the report is unclear — and that is itself the first finding.
- Does the evidence support the claim? The baselines, the seeds, the uncertainty, the ablations, the contamination risk. Point at the table and the row, not at a feeling.
- What would make it stronger? Concrete and feasible, not «do more».
Distinguish three categories and mark which one you mean:
- A methodological fault — the conclusion does not hold. It has to be fixed.
- A presentation problem — the result may be right but cannot be judged. It should be fixed.
- A matter of taste — you would have done it differently. It may be mentioned, it should not weigh.
Interactive
A review template (it works for classmates, colleagues and conference submissions):
A summary of the contribution (3 sentences, in your own words)
Strengths
- …
Methodological faults (have to be fixed)
- [Table 2] The baseline is untuned while the method has been searched over 12 configurations.
The comparison is therefore not fair. A suggestion: the same search budget for both.
Presentation (should be fixed)
- [Fig 3] The y-axis starts at 0.7, which exaggerates the difference. Start at 0.
- The number of seeds is not stated. State n and the spread in every table.
Matters of taste (not decisive)
- I would have chosen F1 over accuracy, but it is justified in the text.
Questions to the authors
- How was the overlap between the training and the test data in section 4.2 handled?
Receiving a review: respond to every point separately with fixed / partly fixed / not fixed + the reason. A reviewer who is told why you disagreed is happier than one who is ignored.
What makes reviewing hard is not finding faults — it is finding the right faults and formulating them so that they can be acted on. A review that only says «a weak contribution» is worthless however right it is.
Mastery means
- Gives a constructive, evidence-based review
- Distinguishes a methodological fault from a matter of taste
- Receives a review and responds to it factually
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Sources
- NeurIPS — Reviewer Guidelines — free to read
- arXiv — Show Your Work: Improved Reporting of Experimental Results — arXiv (open access; licence per article)