Granted Patent
B2
US 12,718,030 · App. 18/344,742 · Granted Aug 25, 2026
Large language models providing evidence mappings for generated output
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Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST
Recorded Sep 18, 2023
From: DINGLIWAL, SAKET; GOPALAKRISHNAN, KARTHIK; BODAPATI, SRAVAN BABU; HANDA, SARTHAK; KIRCHHOFF, KATRIN
To: AMAZON TECHNOLOGIES, INC.
Reel/Frame 064937/0500 →
Continuity (1)
References Cited (38)
US 20220068276A1
· Munetomo
· 2022
[cited by examiner]
US 20230403174A1
· Mohanty
· 2023
[cited by examiner]
US 20240211681A1
· Jiao
· 2024
[cited by examiner]
US 20240296748A1
· Gogin
· 2024
[cited by examiner]
US 20240370703A1
· Sikka
· 2024
[cited by examiner]
US 20250005303A1
· Gray
· 2025
[cited by examiner]
U.S. Appl. No. 18/344,739, filed Jun. 29, 2023, Devang Kulshresthra, et al.
[cited by applicant]
Google DeepMind, “Teaching language models to support answers with verifiedquotes”, Mar. 16, 2022, pp. 1-40.
[cited by applicant]
Pei Zhouo, et al., “Think Before You Speak: Explicitly Generating Implicit Commonsense Knowledge for ResponseGeneration,” https://arxiv.org/abs/2110.08501, Jun. 7, 2022, pp. 1-17.
[cited by applicant]
“Yi Tay, et al.., ““Transformer Memory as a Differentiable Search Index,”” https://arxiv.org/abs/2202.06991, Oct. 21, 2022, pp. 1-14.”
[cited by applicant]
Yujing Wang, et al.,“A Neural Corpus Indexer for Document Retrieval,” https://arxiv.org/abs/2206.02743, Feb. 12, 2023, pp. 1-19.
[cited by applicant]
“Bernd Bohnet, et al., ““Attributed Question Answering:Evaluation and Modeling for Attributed Large Language Models”” https://arxiv.org/abs/2212.08037, Feb. 10, 2023, pp. 1-15.”
[cited by applicant]
Aleksandra Piktus, et al., “Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks,” https://arxiv.org/abs/2005.11401, Apr. 12, 2021, pp. 1-19.
[cited by applicant]