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AssigneeOracle International Corporation
InventorsAli Seyfi, Zahra Zohrevand, Hesam Fathi Moghadam, Rhicheek Patra, Hassan Chafi
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For generation and iterative improvement of an original global explanation of a machine learning model, here is refinement of a linguistic prompt. For each technical requirement, a respective reviewer large language model (LLM) may detect inaccuracies in a global explanation that characterizes a machine learning (ML) model. Based on the detected inaccuracies, a linguistic prompt that contains the global explanation is generated. From the linguistic prompt, corrective natural language (NL) that describes how the global explanation is inaccurate is inferentially generated by a critic LLM. In each iteration of a feedback loop, the corrective NL is feedback from which an explainer LLM generatively infers a revised global explanation for the ML model, and this revised explanation is more or less monotonically more accurate than the original global explanation.
A method comprising:
A method comprising:
One or more non-transitory computer-readable media storing instructions that, when executed by one or more processors, cause:
One or more non-transitory computer-readable media storing instructions that, when executed by one or more processors, cause:
Dependencies are inferred from the claim text.