GPT-4: Difference between revisions

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==Benchmarks==
{| class="wikitable"
! Benchmark
! GPT-4
! Evaluated few-shot
! GPT-3.5
! Evaluated few-shot
! LM SOTA
! Best external LM evaluated few-shot
! SOTA
! Best external model (includes benchmark-specific training)
|-
| MMLU
| 86.4%
| 5-shot
| 70.0%
| 5-shot
| 70.7%
| 5-shot U-PaLM
| 75.2%
| 5-shot Flan-PaLM
|-
| HellaSwag
| 95.3%
| 10-shot
| 85.5%
| 10-shot
| 84.2%
| LLAMA (validation set)
| 85.6%
| ALUM
|-
| AI2 Reasoning Challenge (ARC)
| 96.3%
| 25-shot
| 85.2%
| 25-shot
| 84.2%
| 8-shot PaLM
| 85.6%
| ST-MOE
|-
| WinoGrande
| 87.5%
| 5-shot
| 81.6%
| 5-shot
| 84.2%
| 5-shot PALM
| 85.6%
| 5-shot PALM
|-
| HumanEval
| 67.0%
| 0-shot
| 48.1%
| 0-shot
| 26.2%
| 0-shot PaLM
| 65.8%
| CodeT + GPT-3.5
|-
| DROP (f1 score)
| 80.9
| 3-shot
| 64.1
| 3-shot
| 70.8
| 1-shot PaLM
| 88.4
|}
|}

Revision as of 11:44, 20 March 2023

Exams

Exam GPT-4 Points GPT-4 Percentile GPT-4 (no vision) Points GPT-4 (no vision) Percentile GPT-3.5 Points GPT-3.5 Percentile
Uniform Bar Exam (MBE+MEE+MPT)1 298 / 400 ~90th 298 / 400 ~90th 213 / 400 ~10th
LSAT 163 ~88th 161 ~83rd 149 ~40th
SAT Evidence-Based Reading & Writing 710 / 800 ~93rd 710 / 800 ~93rd 670 / 800 ~87th
SAT Math 700 / 800 ~89th 690 / 800 ~89th 590 / 800 ~70th
Graduate Record Examination (GRE) Quantitative 163 / 170 ~80th 157 / 170 ~62nd 147 / 170 ~25th
Graduate Record Examination (GRE) Verbal 169 / 170 ~99th 165 / 170 ~96th 154 / 170 ~63rd
Graduate Record Examination (GRE) Writing 4 / 6 ~54th 4 / 6 ~54th 4 / 6 ~54th
USABO Semifinal Exam 2020 87 / 150 99th–100th 87 / 150 99th–100th 43 / 150 31st–33rd
USNCO Local Section Exam 2022 36 / 60 38 / 60 24 / 60
Medical Knowledge Self-Assessment Program 75% 75% 53%
Codeforces Rating 392 below 5th 392 below 5th 260 below 5th
AP Art History 5 86th–100th 5 86th–100th 5 86th–100th
AP Biology 5 85th–100th 5 85th–100th 4 62nd–85th
AP Calculus BC 4 43rd–59th 4 43rd–59th 1 0th–7th

Benchmarks

Benchmark GPT-4 Evaluated few-shot GPT-3.5 Evaluated few-shot LM SOTA Best external LM evaluated few-shot SOTA Best external model (includes benchmark-specific training)
MMLU 86.4% 5-shot 70.0% 5-shot 70.7% 5-shot U-PaLM 75.2% 5-shot Flan-PaLM
HellaSwag 95.3% 10-shot 85.5% 10-shot 84.2% LLAMA (validation set) 85.6% ALUM
AI2 Reasoning Challenge (ARC) 96.3% 25-shot 85.2% 25-shot 84.2% 8-shot PaLM 85.6% ST-MOE
WinoGrande 87.5% 5-shot 81.6% 5-shot 84.2% 5-shot PALM 85.6% 5-shot PALM
HumanEval 67.0% 0-shot 48.1% 0-shot 26.2% 0-shot PaLM 65.8% CodeT + GPT-3.5
DROP (f1 score) 80.9 3-shot 64.1 3-shot 70.8 1-shot PaLM 88.4