Oracle international corporation (20250094704). LLM FINE-TUNING FOR TEXT SUMMARIZATION
LLM FINE-TUNING FOR TEXT SUMMARIZATION
Organization Name
oracle international corporation
Inventor(s)
Mengqing Guo of Issaquah WA US
Vinod Mamtani of Bellevue WA US
LLM FINE-TUNING FOR TEXT SUMMARIZATION
This abstract first appeared for US patent application 20250094704 titled 'LLM FINE-TUNING FOR TEXT SUMMARIZATION
Original Abstract Submitted
systems, methods, and other embodiments associated with automated fine-tuning of text summarization for large language models are described herein. in one embodiment, a method accesses a collection of text samples. the text samples include a body of text and an example summary. the method fine-tunes a large language model (llm) based on a loss function that compares the example summary and a generated summary generated by the llm. the example and generated summaries are compared at sentence, paragraph, and/or article levels. the method generates an evaluation score for performance of the tuned llm as a text summarizer based on a further comparison of a reference summary and a summary generated by the tuned llm. the method then automatically determines to deploy the tuned llm to a text summarization task in response to the evaluation score satisfying a threshold.