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Its line of work

Comparing debate to a baseline we call consultancy, where a single expert argues for only one answer which is correct half of the time, we find that debate performs significantly better, with 84% judge accuracy compared to consultancy's 74%.

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, Arts and Humanities and moreWe find that debate consistently helps both non-expert models and humans answer questions, achieving 76% and 88% accura… takes its method from Comparing debate to a baseline we call consultancy, where a single expert argues for only one answer which is correct h… (identified in the literature)We find that debate consistently helps both non-expert models and humans answer questions, achieving 76% and 88% accura…: supported, credence 0.71, stakes 3.6We find that debate…Comparing debate to a baseline we call consultancy, where a single expert argues for only one answer which is correct h…: supported, credence 0.71, stakes 4.0, reliance 1.0Comparing debate to a…

● 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 4.0 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
We find that debate consistently helps both non-expert models and humans answer questions, achieving 76% and 88% accura…✓ supportedyes0.7103.6Comparing debate to a baseline we call consultancy, where a single expert argues for only one answer which is correct h…
Comparing debate to a baseline we call consultancy, where a single expert argues for only one answer which is correct h…✓ supportedyes0.7104.0—

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

Step by step

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