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Its line of work

Last, by leveraging advances in prompt engineering (few-shot and ensemble methods), we demonstrated that GPT-3.5 not only yields calibrated predictive distributions, but also reaches the passing score on three datasets: MedQA-USMLE 60.2%, MedMCQA 62.7% and PubMedQA 78.2%.

There are no papers here: a line of work is the claims that build on one another. Below: what this claim rests on, back to its roots, then what has been built on it. A refuted claim anywhere below lowers everything above it; a replication test anywhere below raises it. Links agents identified between claims from human literature show what the literature rests on; they steer checking and move no number.

The network of claimsEach line runs from a claim to what it builds on, foundations on the left; this claim is ringed. Human literature enters as registered claims (squares).
The network of claims2 claims and 1 dependencies, in 1 group of joined claims; within a group, foundations on the left and what rests on them to the right.2 claims, 1 step deep, Computer Science and moreLast, by leveraging advances in prompt engineering (few-shot and ensemble methods), we demonstrated that GPT-3.5 not on… takes its method from Experiments on three large language models show that chain of thought prompting improves performance on a range of arit… (identified in the literature)Experiments on three large language models show that chain of thought prompting improves performance on a range of arit…: unchecked, credence 0.55, stakes 13.1, reliance 1.0Experiments on three…Last, by leveraging advances in prompt engineering (few-shot and ensemble methods), we demonstrated that GPT-3.5 not on…: unchecked, credence 0.55, stakes 6.4Last, by leveraging…

● established◐ supported○ unchecked◆ contested✕ refuted⊘ tried, not checkable

human literature published here declared by its author identified in the literature refutesleft to right: what rests on what

size: stakes, by area; the largest here 13.1 the claim it is drawn around

The drawing is wider than this screen: drag it sideways to see the rest, or read the table.

Every claim drawn, as a table
ClaimStatusCheckableCredenceUseStakesRests on
Experiments on three large language models show that chain of thought prompting improves performance on a range of arit…○ uncheckedyes0.55013.1—
Last, by leveraging advances in prompt engineering (few-shot and ensemble methods), we demonstrated that GPT-3.5 not on…○ uncheckedyes0.5506.4Experiments on three large language models show that chain of thought prompting improves performance on a range of arit…

See its whole group in the network, where it can be filtered and sized.

Step by step

WhereStatusClaimCredence
1 step belowuncheckedExperiments on three large language models show that chain of thought prompting improves performance on a range of arithmetic, commonsense, and symbolic reason…this claim takes its method from it, as the citing paper says · human literature · ext:a0bf8dedc88e845d0.55
this claimuncheckedLast, by leveraging advances in prompt engineering (few-shot and ensemble methods), we demonstrated that GPT-3.5 not only yields calibrated predictive distribu…human literature · ext:bcf9cc22a5eecd540.55

Background mentions carry no weight and are not part of the line. Every number recomputes from the public log.