Individual skill
sigir-experiments
Use when designing or auditing the empirical program of a SIGIR paper — choosing test collections that match the claim, metric-cutoff discipline, paired significance testing with multiple-comparison correction, baseline tuning symmetry, ablations that isolate mechanisms, efficiency reporting, and LLM-era evaluation pitfalls.
SIGIR-Skills/skills/sigir-experiments/SKILL.md
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# SIGIR Experiments
SIGIR inherits its experimental culture from the Cranfield/TREC tradition: shared
test collections, pooled relevance judgments, and statistical comparison of systems.
Reviewers audit the *protocol* before they admire the numbers. This skill designs an
evidence program that survives that audit — and flags the LLM-era failure modes that
current program committees have learned to probe.
## Claim → collection matching
The collection lineup is an argument about the claim's scope:
| Claim type | Minimum credible lineup | Watch out for |
|---|---|---|