Unverified50% confidenceSolutionExact time
Placing the exact enum value immediately next to the natural-language label in the prompt (e.g., "Status: At risk (corresponding enum value: risk)") can reduce the probability of the model copying the wrong label.
1
Sources
50%
Confidence
Long-term
Relevance
10/19/2026
First Seen
Sources
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Related Claims
UnverifiedThe risk of pseudo-labels lies in confirmation bias—erroneous predictions get reinforced; therefore in practice novelty detection (e.g., Mahalanobis distance) is usually combined to judge whether the distribution has drifted, and pseudo-label updates are enabled only when the drift is significant and prediction confidence is high.72% similarUnverifiedModels are suited to textual, low-risk parts: rewriting failing mutant logs into PR comments, drafting missing tests from the diff, naming the observable behavior a patch changes, and listing existing assertions that a refactor reasonably touches; maintainer-exclusive judgments include whether a weakened assertion is justified, whether the suite is flaky or genuinely wrong, and whether to merge.69% similarUnverifiedTraditional pseudo-labeling suffers from confirmation bias: repeatedly using pseudo-labels from the same model causes biases to accumulate and amplify with each iteration.66% similarUnverifiedGrounding prompts that instruct the model to answer only based on provided documents and cite the relevant passages can greatly reduce the probability of fabrication, but cannot eliminate it entirely.66% similarUnverified预标注会引入锚定效应，标注员倾向于接受而非推翻已有预标注结果，即使存在微小错误，低质量预标注会系统性地将判断拉向错误方向65% similar
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