RTE
PaLM 2-L 79.3% Dropped
Models decide whether a premise sentence entails a hypothesis, using data from the PASCAL RTE challenges. Scored by accuracy.
Made by PASCAL RTE Challenge organizers , packaged in GLUE Released Apr 2018 Language reasoning All tasks public Last in a launch post May 2023 , dropped after it saturated
Last model added May 2023
Scores refreshed 2 Nov 2026
- Level
- Everyday Most adults, without training
- Scored
- Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
- Answers
- Multiple choice
1
Model scored in lab cards
1
Launch post lists it, from 1 lab
PaLM 2-L leads with 79.3%
Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.
- 1 PaLM 2-L 79.3%
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | PaLM 2-L | 79.3% | May 2023 | Model card |
The benchmark's own leaderboard has 97 entries, 1 of them models we track. We plot every source in the charts below.
The best score passed 85% in Oct 2019
All the scores we have, one dot each, so a model tested at several settings appears more than once.
On the benchmark’s own leaderboard Reported by the lab in its model card
Labs dropped it from launch posts once the best score passed 85%
Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| 10 May 2023 |  PaLM 2-L | 79.3 | RTE, 1-shot |
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