ANLI R1
InfoBERT (RoBERTa Large) 75.5% tops its leaderboard
Not in model cards Models label premise and hypothesis pairs from the first adversarial test round as entailment, neutral, or contradiction. The score is test accuracy.
One track of ANLI. The ANLI record keeps lab scores that combine tracks. Importers use test accuracy only and exclude development scores.
- Released
- October 2019
- Kind
- Language reasoning
- Level
- Everyday
- Scored
- Checked automatically
- Answers
- Multiple choice
- Tasks
- All public
10
Entries on its own leaderboard, 0 models we track
InfoBERT (RoBERTa Large) tops the leaderboard with 75.5%
Best score per entry from the benchmark's own leaderboard, read on November 12th, 2026. Where a model ran with several settings or harnesses, we keep its best. Names in gray aren't in our model list: fine-tunes, agent systems, products and older models. They don't count toward leaders.
- 75.5 InfoBERT (RoBERTa Large)
- 73.8 RoBERTa Large
- 73.6 ALBERT ( using the checkpoint in this codebase )
- 73.6 ynie/albert-xxlarge-v2-snli_mnli_fever_anli_R1_R2_R3-nli
- 73.6 ynie/roberta-large-snli_mnli_fever_anli_R1_R2_R3-nli
- 72.3 ALUM (RoBERTa Large)
- 70.0 ynie/xlnet-large-cased-snli_mnli_fever_anli_R1_R2_R3-nli
- 67.6 XLNet Large
- 57.4 BERT Large
- 36.8 GPT-3
- 1 InfoBERT (RoBERTa Large) 75.5%
- 2 RoBERTa Large 73.8%
- 3 ALBERT ( using the checkpoint in this codebase ) 73.6%
- 4 ynie/albert-xxlarge-v2-snli_mnli_fever_anli_R1_R2_R3-nli 73.6%
- 5 ynie/roberta-large-snli_mnli_fever_anli_R1_R2_R3-nli 73.6%
- 6 ALUM (RoBERTa Large) 72.3%
- 7 ynie/xlnet-large-cased-snli_mnli_fever_anli_R1_R2_R3-nli 70%
- 8 XLNet Large 67.6%
- 9 BERT Large 57.4%
- 10 GPT-3 36.8%
Source: Official ANLI R1 leaderboard
| # | Entry | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | InfoBERT (RoBERTa Large) | 75.5% | Official leaderboard | ||
| 2 | RoBERTa Large | 73.8% | Official leaderboard | ||
| 3 | ALBERT ( using the checkpoint in this codebase ) | 73.6% | Official leaderboard | ||
| 4 | ynie/albert-xxlarge-v2-snli_mnli_fever_anli_R1_R2_R3-nli | 73.6% | Official leaderboard | ||
| 5 | ynie/roberta-large-snli_mnli_fever_anli_R1_R2_R3-nli | 73.6% | Official leaderboard | ||
| 6 | ALUM (RoBERTa Large) | 72.3% | Official leaderboard | ||
| 7 | ynie/xlnet-large-cased-snli_mnli_fever_anli_R1_R2_R3-nli | 70% | Official leaderboard | ||
| 8 | XLNet Large | 67.6% | Official leaderboard | ||
| 9 | BERT Large | 57.4% | Official leaderboard | ||
| 10 | GPT-3 | 36.8% | Official leaderboard |
No lab model card reports it yet
We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark.
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