pith. sign in

Title resolution pending

The number of sampling test cases for each problem is set to 100 for the HumanEval, MBPP benchmarks, 50 for the APPS, CodeContests benchmarks · 2021

1 Pith paper cite this work. Polarity classification is still indexing.

1 Pith paper citing it
browse 1 citing papers

Title metadata for this work has not finished resolving. The hub is built from the citation graph; the title resolver retries DOI and OpenAlex on its next pass.

fields

cs.CL 1

years

2022 1

verdicts

CONDITIONAL 1

representative citing papers

CodeT: Code Generation with Generated Tests

cs.CL · 2022-07-21 · conditional · novelty 7.0

CodeT improves code generation accuracy by using the same model to create test cases and then selecting solutions via output agreement on those tests, raising HumanEval pass@1 from 47% to 65.8%.

citing papers explorer

Showing 1 of 1 citing paper.

  • CodeT: Code Generation with Generated Tests cs.CL · 2022-07-21 · conditional · none · ref 15

    CodeT improves code generation accuracy by using the same model to create test cases and then selecting solutions via output agreement on those tests, raising HumanEval pass@1 from 47% to 65.8%.