公开(公告)号：US11769017B1

公开(公告)日：2023-09-26

申请号：US18123861

申请日：2023-03-20

Applicant: GOOGLE LLC

Inventor： Matthew K. Gray ,  John Blitzer ,  Corinn Herrick ,  Srinivasan Venkatachary ,  Jayant Madhavan ,  Sam Oates ,  Phiroze Parakh ,  Aditya Shah ,  Mahsan Rofouei ,  Ibrahim Badr

IPC: G06F40/40 ,  G06F16/332

CPC classification number: G06F40/40 ,  G06F16/3328

Abstract: At least selectively utilizing a large language model (LLM) in generating a natural language (NL) based summary to be rendered in response to a query. In some implementations, in generating the NL based summary additional content is processed using the LLM. The additional content is in addition to query content of the query itself and, in generating the NL based summary, can be processed using the LLM and along with the query content—or even independent of the query content. Processing the additional content can, for example, mitigate occurrences of the NL based summary including inaccuracies and/or can mitigate occurrences of the NL based summary being over-specified and/or under-specified.

公开(公告)号：US11249993B2

公开(公告)日：2022-02-15

申请号：US16881899

申请日：2020-05-22

Applicant: Google LLC

Inventor： Jayant Madhavan ,  Hongrae Lee ,  Warren H. Y. Shen ,  Sreeram Viswanath Balakrishnan

IPC: G06F16/00 ,  G06F16/2452 ,  G06F16/245 ,  G06F16/951 ,  G06F16/2457

Abstract: In one aspect, a method includes receiving a query determined to be a question query that seeks an answer response and data identifying resources determined to be responsive to the query; identifying structured content set in a top-ranked subset of the resources, each structured content set being content arranged according to related attributes in one of the resources; for each identified structured content set, determining whether the query matches the structured content set based on terms of the query matching related attributes of the structured content set; selecting one of the structured content sets for which the query is determined to match; generating, from the selected structured content set, a structured fact set from the related attributes that matched the terms of the query; and providing the structured fact set with search results that identify the resources determined to be responsive to the query.

公开(公告)号：US11886828B1

公开(公告)日：2024-01-30

申请号：US18236760

申请日：2023-08-22

Applicant: GOOGLE LLC

Inventor： Matthew K. Gray ,  John Blitzer ,  Corinn Herrick ,  Srinivasan Venkatachary ,  Jayant Madhavan ,  Sam Oates ,  Phiroze Parakh ,  Aditya Shah ,  Mahsan Rofouei ,  Ibrahim Badr

IPC: G06F40/40 ,  G06F16/332

CPC classification number: G06F40/40 ,  G06F16/3328

Abstract: At least selectively utilizing a large language model (LLM) in generating a natural language (NL) based summary to be rendered in response to a query. In some implementations, in generating the NL based summary additional content is processed using the LLM. The additional content is in addition to query content of the query itself and, in generating the NL based summary, can be processed using the LLM and along with the query content—or even independent of the query content. Processing the additional content can, for example, mitigate occurrences of the NL based summary including inaccuracies and/or can mitigate occurrences of the NL based summary being over-specified and/or under-specified.

公开(公告)号：US20250005303A1

公开(公告)日：2025-01-02

申请号：US18829990

申请日：2024-09-10

Applicant: GOOGLE LLC

Inventor： Matthew K. Gray ,  John Blitzer ,  Corinn Herrick ,  Srinivasan Venkatachary ,  Jayant Madhavan ,  Sam Oates ,  Phiroze Parakh ,  Aditya Shah ,  Mahsan Rofouei ,  Ibrahim Badr

IPC: G06F40/40 ,  G06F16/332

Abstract: At least selectively utilizing a large language model (LLM) in generating a natural language (NL) based summary to be rendered in response to a query. In some implementations, in generating the NL based summary additional content is processed using the LLM. The additional content is in addition to query content of the query itself and, in generating the NL based summary, can be processed using the LLM and along with the query content—or even independent of the query content. Processing the additional content can, for example, mitigate occurrences of the NL based summary including inaccuracies and/or can mitigate occurrences of the NL based summary being over-specified and/or under-specified.

公开(公告)号：US12118325B2

公开(公告)日：2024-10-15

申请号：US18232144

申请日：2023-08-09

Applicant: GOOGLE LLC

Inventor： Matthew K. Gray ,  John Blitzer ,  Corinn Herrick ,  Srinivasan Venkatachary ,  Jayant Madhavan ,  Sam Oates ,  Phiroze Parakh ,  Aditya Shah ,  Mahsan Rofouei ,  Ibrahim Badr

IPC: G06F40/40 ,  G06F16/332

CPC classification number: G06F40/40 ,  G06F16/3328

Abstract: At least selectively utilizing a large language model (LLM) in generating a natural language (NL) based summary to be rendered in response to a query. In some implementations, in generating the NL based summary additional content is processed using the LLM. The additional content is in addition to query content of the query itself and, in generating the NL based summary, can be processed using the LLM and along with the query content—or even independent of the query content. Processing the additional content can, for example, mitigate occurrences of the NL based summary including inaccuracies and/or can mitigate occurrences of the NL based summary being over-specified and/or under-specified.

公开(公告)号：US20240220735A1

公开(公告)日：2024-07-04

申请号：US18232144

申请日：2023-08-09

Applicant: GOOGLE LLC

Inventor： Matthew K. Gray ,  John Blitzer ,  Corinn Herrick ,  Srinivasan Venkatachary ,  Jayant Madhavan ,  Sam Oates ,  Phiroze Parakh ,  Aditya Shah ,  Mahsan Rofouei ,  Ibrahim Badr

IPC: G06F40/40 ,  G06F16/332

CPC classification number: G06F40/40 ,  G06F16/3328

Abstract: At least selectively utilizing a large language model (LLM) in generating a natural language (NL) based summary to be rendered in response to a query. In some implementations, in generating the NL based summary additional content is processed using the LLM. The additional content is in addition to query content of the query itself and, in generating the NL based summary, can be processed using the LLM and along with the query content—or even independent of the query content. Processing the additional content can, for example, mitigate occurrences of the NL based summary including inaccuracies and/or can mitigate occurrences of the NL based summary being over-specified and/or under-specified.

公开(公告)号：US10698888B1

公开(公告)日：2020-06-30

申请号：US15881315

申请日：2018-01-26

Applicant: Google LLC

Inventor： Jayant Madhavan ,  Hongrae Lee ,  Warren H. Y. Shen ,  Sreeram Viswanath Balakrishnan

IPC: G06F16/00 ,  G06F16/2452 ,  G06F16/245 ,  G06F16/951 ,  G06F16/2457

Abstract: In one aspect, a method includes receiving a query determined to be a question query that seeks an answer response and data identifying resources determined to be responsive to the query; identifying structured content set in a top-ranked subset of the resources, each structured content set being content arranged according to related attributes in one of the resources; for each identified structured content set, determining whether the query matches the structured content set based on terms of the query matching related attributes of the structured content set; selecting one of the structured content sets for which the query is determined to match; generating, from the selected structured content set, a structured fact set from the related attributes that matched the terms of the query; and providing the structured fact set with search results that identify the resources determined to be responsive to the query.

公开(公告)号：US20240119047A1

公开(公告)日：2024-04-11

申请号：US18487361

申请日：2023-10-16

Applicant: GOOGLE LLC

Inventor： Jayant Madhavan ,  Hongrae Lee ,  Sreeram Viswanath Balakrishnan ,  Warren H.Y. Shen

IPC: G06F16/2452 ,  G06F16/245 ,  G06F16/2457 ,  G06F16/951

CPC classification number: G06F16/24522 ,  G06F16/245 ,  G06F16/24578 ,  G06F16/951

Abstract: In one aspect, a method includes receiving a query determined to be a question query that seeks an answer response and data identifying resources determined to be responsive to the query; identifying structured content set in a top-ranked subset of the resources, each structured content set being content arranged according to related attributes in one of the resources; for each identified structured content set, determining whether the query matches the structured content set based on terms of the query matching related attributes of the structured content set; selecting one of the structured content sets for which the query is determined to match; generating, from the selected structured content set, a structured fact set from the related attributes that matched the terms of the query; and providing the structured fact set with search results that identify the resources determined to be responsive to the query.

公开(公告)号：US11900068B1

公开(公告)日：2024-02-13

申请号：US18232112

申请日：2023-08-09

Applicant: GOOGLE LLC

Inventor： Matthew K. Gray ,  John Blitzer ,  Corinn Herrick ,  Srinivasan Venkatachary ,  Jayant Madhavan ,  Sam Oates ,  Phiroze Parakh ,  Aditya Shah ,  Mahsan Rofouei ,  Ibrahim Badr

IPC: G06F40/40 ,  G06F16/332

CPC classification number: G06F40/40 ,  G06F16/3328

Abstract: At least selectively utilizing a large language model (LLM) in generating a natural language (NL) based summary to be rendered in response to a query. In some implementations, in generating the NL based summary additional content is processed using the LLM. The additional content is in addition to query content of the query itself and, in generating the NL based summary, can be processed using the LLM and along with the query content—or even independent of the query content. Processing the additional content can, for example, mitigate occurrences of the NL based summary including inaccuracies and/or can mitigate occurrences of the NL based summary being over-specified and/or under-specified.

公开(公告)号：US20230342411A1

公开(公告)日：2023-10-26

申请号：US18000152

申请日：2022-03-09

Applicant: Google LLC

Inventor： Preyas Dalsukhbhai Popat ,  Gaurav Bhaskar Gite ,  John Blitzer ,  Jayant Madhavan ,  Aliaksei Severyn

IPC: G06F16/957 ,  G06F16/951

CPC classification number: G06F16/957 ,  G06F16/951

Abstract: Techniques of generating short answers for queries by a search engine include performing a training operation on a corpus of training data to train the score prediction engine, the corpus of training data including candidate passages providing short answers for display in callouts and remaining respective passages, from which a top scoring short answer is generated. In such implementations, the corpus of training data further includes the remaining respective passages and the respective titles of the candidate passage and remaining respective passages.