ANLIactiveUnderstanding
ANLI: Adversarial Natural Language Inference
Metric: Accuracy (higher is better)Introduced: 2019
Adversarially collected NLI dataset across 3 rounds of increasing difficulty, designed to fool current models and expose failure modes.
Models ranked
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tracked on this benchmark
Score band
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no scores yet
Snapshot trend
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need ≥2 snapshots
Leaderboard
Tracked models ranked by Accuracy (higher is better).
No leaderboard entries are tracked for this benchmark yet.
How to read this benchmark
This benchmark scores models where higher is better. Use scores for directional filtering and shortlisting, not universal quality ranking; then validate pricing, context window, provider availability, and fit for your workload.
Trust this score when
- There is a fresh timestamped snapshot (or multiple snapshots) for this benchmark.
- The model list covers the same version family you can actually deploy today.
- Top candidates overlap with your required routing and feature requirements.
Be cautious when
- There is only one benchmark snapshot or the dataset appears stale.
- The benchmark metric direction is opposite of your decision objective.
- The score difference between options is narrow and likely within implementation variance.
Last reviewed: Apr 15, 2026