公开(公告)号：US20250005048A1

公开(公告)日：2025-01-02

申请号：US18345990

申请日：2023-06-30

Applicant: Adobe Inc.

Inventor： Abhinav JAVA ,  Surgan JANDIAL ,  Shripad DESHMUKH ,  Milan AGGARWAL ,  Mausoom SARKAR ,  Balaji KRISHNAMURTHY ,  Arneh JAIN

IPC: G06F16/332

Abstract: Embodiments are disclosed for one-shot document snippet search. A method of one-shot document snippet search may include obtaining a query snippet and a target document. A multi-modal snippet detection model combines first multi-modal features from the query snippet and second multi-modal features from the target document to create a feature volume. The multi-modal snippet detection model identifies one or more matching snippets from the target document based on the feature volume.

公开(公告)号：US20250124620A1

公开(公告)日：2025-04-17

申请号：US18380059

申请日：2023-10-13

Applicant: Adobe Inc.

Inventor： Tarun ARORA ,  Tanay ANAND ,  Siddarth RAMESH ,  Shripad DESHMUKH ,  Pranjal PRASOON ,  Piyush DEWNANI ,  Md anis ALAM ,  Jayakumar SUBRAMANIAN ,  Gaurav SATIJA ,  Diwakar Reddy YERRAGUNTA ,  Deepthi AMIRTHAGADESWARAN ,  Balaji KRISHNAMURTHY ,  Avinash KATIYAR

IPC: G06T11/20 ,  G06F40/40

Abstract: Various disclosed embodiments are directed to deriving, via a language model, a summary of data by converting or encoding table data into one or more natural language sentences, which are then used as input to the language model for generating the summary. One or more embodiments are additionally or alternatively directed to deriving, via a language model, a response to a user question or command via a chat interface by providing the language model with the generated summary as input. In this way, for example, the language model can use the summary as a prompt or other target context for providing a response.