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Input Order Bias in LLMs Impacts Software Fault Localization Accuracy

Input Order Bias in LLMs Impacts Software Fault Localization Accuracy

When the faulty method appears first, LLM fault localisation reaches 57% Top‑1 accuracy for Java and 38% for Python; placing it last drops to 20% and about 3%. Read more: getnews.me/input-order-bias-in-llms... #inputorderbias #faultlocalization

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FairFLRep: Fairness aware fault localization and repair of Deep Neural
Networks
Foutse Khomh, Fuyuki Ishikawa et al.
Paper
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#FairnessInAI #DNNRepair #FaultLocalization

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