Benchmark Almanac

Winograd

PaLM 2-L 89.5% Dropped

Models pick which noun an ambiguous pronoun refers to in Winograd schema sentence pairs that need world knowledge. Scored by accuracy.

Models passed 90 percent by 2019, which led to the larger WinoGrande dataset.

Made by Hector Levesque , Ernest Davis , and Leora Morgenstern Commonsense All tasks public Last in a launch post May 2023 , dropped after it saturated Last model added May 2023
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 89.5%

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. 1 PaLM 2-L 89.5%
#ModelScoreSettingDateSource
1 PaLM 2-L 89.5% May 2023 Model card

The best score passed 85% in May 2023

All the scores we have, one dot each, so a model tested at several settings appears more than once.

Reported by the lab in its model card
0% 20% 40% 60% 80% 100% 2023 Near the ceiling (85%) PaLM 2-L 0% 20% 40% 60% 80% 100% 2023 Near the ceiling (85%) PaLM 2-L

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
DateLaunch postScoreAs the post writes it
10 May 2023 PaLM 2-L 89.5 Winograd, 1-shot

More in Knowledge

All 109 in Knowledge
  • MMLU-Pro In use Harder 10-option version of MMLU with reasoning-focused questions across 14 subjects. Intern-S2-397B 89.8%
  • SuperGPQA In use 26,529 graduate-level multiple-choice questions across 285 disciplines. Accuracy. Qwen 3.6 Max (Preview) 73.9%
  • WideSearch In use 200 bilingual broad info-seeking tasks: agent collects many atomic facts into a table. Scored by success rate and row/item F1. Tencent Hy4 preview 83.9%
  • KMMLU-Pro In use Models answer multiple-choice questions taken from Korean National Professional Licensure exams. It tests professional knowledge used in Korean industry. Solar Pro 4 79.2%
  • BIG-Bench Extra Hard In use Models solve harder replacements for each of the 23 BIG-Bench Hard tasks, 4,520 examples in total. The score is a harmonic mean of task accuracies. Gemma 4 31B IT 74.4%
  • HLE-Verified In use Verified and revised version of Humanity's Last Exam (1,811 items) with uncertain items removed. Seed2.0 Pro 73.6%