Claims

Bootstrapped self-consistency at temperature 1.0 flags potentially incorrect GPT-4 answers: about half of inconsistent responses were incorrect versus about 5% of consistent ones

Claim · All claims
Evidence · 1 study · design r2 · q3
Currency · newest study 2024 · not yet checked against its sources · not reviewed by a person · recheck by 2027: tool and model accuracy changes quickly

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q3 i? Over 50 repetitions per exam at temperature 1.0, GPT-4-0314 was inconsistent on 23 of 124 questions (43% of them incorrect) and GPT-4-0613 on 25 (56% incorrect), while only 4 of the consistent responses of each version were incorrect. → Joost C. F. de Winter 2024

Evidence

Joost C. F. de Winter 2024

Joost C. F. de Winter. (2024). Can ChatGPT Pass High School Exams on English Language Comprehension? International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-023-00372-z

q3 · i? · design · r2

Bootstrapping analysis submitting each exam to GPT-4 50 times (API 'n' parameter set to 50) at temperature 1.0, with answers classified as consistently correct, consistently incorrect, or inconsistent. Among inconsistent responses, "10 or 43% for GPT-4-0314; 14 or 56% for GPT-4-0613" were incorrect.

"Our analysis showed that out of 124 questions across the three exams combined, GPT-4-0314 displayed inconsistency in 23 cases (19%), while GPT-4-0613 displayed inconsistency in 25 cases (20%)"

Discussion

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