18504256. IN-CONTEXT AND SEMANTIC-AWARE ENSEMBLE MODEL FOR DOCUMENT RETRIEVAL (ADOBE INC.)
IN-CONTEXT AND SEMANTIC-AWARE ENSEMBLE MODEL FOR DOCUMENT RETRIEVAL
Organization Name
Inventor(s)
Victor Soares Bursztyn of Mountain View CA US
Uttaran Bhattacharya of Sunnyvale CA US
Saayan Mitra of San Jose CA US
Alexandru Ionut Hodorogea of San Francisco CA US
Kenneth Russell of Mountain View CA US
Saurabh Tripathy of Hayward CA US
IN-CONTEXT AND SEMANTIC-AWARE ENSEMBLE MODEL FOR DOCUMENT RETRIEVAL
This abstract first appeared for US patent application 18504256 titled 'IN-CONTEXT AND SEMANTIC-AWARE ENSEMBLE MODEL FOR DOCUMENT RETRIEVAL
Original Abstract Submitted
A method, apparatus, non-transitory computer readable medium, and system for document retrieval include obtaining a query and a document. A prompt generator generates a prompt for a reasoning model based on the query and the document. The reasoning model generates a reasoning result based on the prompt. In some cases, the reasoning result indicates that the document answers the query. A machine learning model provides the document in response to the query based on the reasoning result.
- ADOBE INC.
- Tong Yu of Fremont CA US
- Xiang Chen of Palo Alto CA US
- Victor Soares Bursztyn of Mountain View CA US
- Uttaran Bhattacharya of Sunnyvale CA US
- Eunyee Koh of Sunnyvale CA US
- Saayan Mitra of San Jose CA US
- Alexandru Ionut Hodorogea of San Francisco CA US
- Kenneth Russell of Mountain View CA US
- Saurabh Tripathy of Hayward CA US
- Manas Garg of Fremont CA US
- G06F16/2457
- G06F16/93
- G06N20/20
- CPC G06F16/24578