Changeflow GovPing Telecom & Technology LLM Unlearning via Loss Adjustments - Accenture...
Routine Notice Added Final

LLM Unlearning via Loss Adjustments - Accenture Global Solutions

Favicon for changeflow.com USPTO Patent Applications - AI & Computing (G06N)
Published
Detected
Email

Summary

USPTO published patent application US20260099772A1 by Accenture Global Solutions Limited disclosing a system and method for large language model unlearning via a forget data only loss adjustment (FLAT) function. The invention involves accessing forget data samples, associating template responses via LLMs, and training a target LLM using loss adjustments to maximize divergence between template and forget answers.

What changed

USPTO published patent application US20260099772A1 titled 'Large Language Model Unlearning via Loss Adjustments' by Accenture Global Solutions Limited on April 9, 2026. The application discloses a method and system for removing learned information from LLMs using a forget data only loss adjustment (FLAT) function, involving accessing forget data samples, associating template responses, and training a target LLM to maximize divergence between available template answers and forget answers.

Technology companies developing or deploying LLMs may find this patent application relevant to their intellectual property portfolios and product development strategies. The disclosed unlearning technique has potential applications in privacy compliance, content moderation, and model governance. However, as this is a published patent application (A1 publication), no enforceable rights or compliance obligations are established at this stage.

What to do next

  1. Monitor for updates if pursuing similar AI/ML unlearning technology
  2. Review patent claims for potential licensing implications

Archived snapshot

Apr 10, 2026

GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.

← USPTO Patent Applications

LARGE LANGUAGE MODEL UNLEARNING VIA LOSS ADJUSTMENTS

Application US20260099772A1 Kind: A1 Apr 09, 2026

Assignee

ACCENTURE GLOBAL SOLUTIONS LIMITED

Inventors

Jinlong PANG, Jiaheng WEI, Ankit Parag SHAH, Yujia BAO, Yaxuan WANG, Wei WEI, Yang LIU, Quan LIU, Yuhao LIU

Abstract

System and method for LLM unlearning via loss adjustments are disclosed. The method includes accessing forget data samples from one or more datasets, associating a template response for each forget data sample via implementation of one or more LLMs, and training a target LLM using a forget data only loss adjustment (FLAT) function to generate an unlearned LLM, including implementing a loss adjustment to maximize a divergence for between an available template answer and a forget answer only with respect to forget data samples.

CPC Classifications

G06N 20/00

Filing Date

2025-10-01

Application No.

19347258

View original document →

Get daily alerts for USPTO Patent Applications - AI & Computing (G06N)

Daily digest delivered to your inbox.

Free. Unsubscribe anytime.

About this page

What is GovPing?

Every important government, regulator, and court update from around the world. One place. Real-time. Free. Our mission

What's from the agency?

Source document text, dates, docket IDs, and authority are extracted directly from USPTO.

What's AI-generated?

The plain-English summary, classification, and "what to do next" steps are AI-generated from the original text. Cite the source document, not the AI analysis.

Last updated

Classification

Agency
USPTO
Published
April 9th, 2026
Instrument
Notice
Legal weight
Non-binding
Stage
Final
Change scope
Minor
Document ID
US20260099772A1

Who this affects

Applies to
Technology companies
Industry sector
5112 Software & Technology
Activity scope
Patent application filing AI model development
Geographic scope
United States US

Taxonomy

Primary area
Intellectual Property
Operational domain
Legal
Topics
Artificial Intelligence Data Privacy

Get alerts for this source

We'll email you when USPTO Patent Applications - AI & Computing (G06N) publishes new changes.

Free. Unsubscribe anytime.

You're subscribed!