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OwnerVarun A. Vasudevan, Abhinav Prakash +5inventors
InventorsVarun A. Vasudevan, Abhinav Prakash, Faezeh Akhavizadegan, Yokila Arora, Hyun Duk Cho, Sushant Kumar, Kannan Achan
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The disclosure herein describes context-based candidate data generation with self-refinement. An example disclosed operation includes: generating a batch of candidate data using a large language model (LLM) based generator, formatting the batch of candidate data according to a plurality of formatting constraints, evaluating, using a sequence of evaluators, a candidate of the batch of candidate data, determining whether any evaluator of the sequence of evaluators fails the candidate, based on determining that at least one evaluator of the sequence of evaluators fails the candidate, identifying a first failing evaluator, mapping an output of the first failing evaluator to a refiner instruction, refining, using a LLM based refiner, the candidate based on the refiner instruction, reformatting the refined candidate, and re-evaluating the refined candidate, until earlier of either a maximum of refine attempts is reached or all evaluators of the sequence of evaluators are successful.
A system for context-based automated content generation, the system comprising:
A method comprising:
One or more computer storage devices having computer-executable instructions stored thereon, which, on execution by a computer, cause the computer to perform operations comprising:
Dependencies are inferred from the claim text.