WSC

PaLM 2-L 86.9% Dropped

Models decide whether a pronoun refers to a given noun phrase in sentences that need commonsense to resolve. Scored by accuracy.

This is the SuperGLUE recasting of the Winograd Schema Challenge.

Made by NYU , Facebook AI , University of Washington , and DeepMind (SuperGLUE) Released May 2019 Commonsense 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

Paper Leaderboard

Model scored in lab cards

Launch post lists it, from 1 lab

PaLM 2-L leads with 86.9%

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.

Bars Table

86.9 PaLM 2-L

1 PaLM 2-L 86.9%

#	Model	Score	Setting	Date	Source
1	PaLM 2-L	86.9%		May 2023	Model card

The benchmark's own leaderboard has 26 entries, 3 of them models we track. We plot every source in the charts below.

Number one over time

Lab claims count from the day the card came out, independent runs from the model’s release.

Google DeepMind

Own leaderboard Passed 85% in Oct 2019, by T5-11B

PaLM (540B) 95.9%

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 Best so far

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.

Google DeepMind

Date	Launch post	Score	As the post writes it
10 May 2023	PaLM 2-L	86.9	WSC, 1-shot

PaLM 2-L leads with 86.9%

Number one over time

The best score passed 85% in Oct 2019

Labs dropped it from launch posts once the best score passed 85%

More in Knowledge