KR20240089615A - 사전-트레이닝된 언어 모델의 단일 트랜스포머 계층으로부터의 다중-헤드 네트워크의 미세-튜닝 - Google Patents

사전-트레이닝된 언어 모델의 단일 트랜스포머 계층으로부터의 다중-헤드 네트워크의 미세-튜닝 Download PDF

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KR20240089615A
KR20240089615A KR1020247015690A KR20247015690A KR20240089615A KR 20240089615 A KR20240089615 A KR 20240089615A KR 1020247015690 A KR1020247015690 A KR 1020247015690A KR 20247015690 A KR20247015690 A KR 20247015690A KR 20240089615 A KR20240089615 A KR 20240089615A
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탄 티엔 부
투옌 꽝 팜
오미드 모하마드 네자미
마크 에드워드 존슨
탄 롱 동
콩 주이 부 호앙
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오라클 인터내셔날 코포레이션
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    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/084Backpropagation, e.g. using gradient descent
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/06Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice
    • G10L15/063Training
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00Handling natural language data
    • G06F40/20Natural language analysis
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00Handling natural language data
    • G06F40/30Semantic analysis
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00Machine learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
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    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/045Combinations of networks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
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    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
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    • G06N3/09Supervised learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/096Transfer learning
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/22Procedures used during a speech recognition process, e.g. man-machine dialogue
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L51/00User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
    • H04L51/02User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail using automatic reactions or user delegation, e.g. automatic replies or chatbot-generated messages
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/06Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice
    • G10L15/063Training
    • G10L2015/0635Training updating or merging of old and new templates; Mean values; Weighting
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/22Procedures used during a speech recognition process, e.g. man-machine dialogue
    • G10L2015/223Execution procedure of a spoken command

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  • Audiology, Speech & Language Pathology (AREA)
  • Acoustics & Sound (AREA)
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  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
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  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
KR1020247015690A 2021-10-12 2022-08-17 사전-트레이닝된 언어 모델의 단일 트랜스포머 계층으로부터의 다중-헤드 네트워크의 미세-튜닝 Pending KR20240089615A (ko)

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
US202163254740P 2021-10-12 2021-10-12
US63/254,740 2021-10-12
US17/735,651 2022-05-03
US17/735,651 US12512091B2 (en) 2021-10-12 2022-05-03 Fine-tuning multi-head network from a single transformer layer of pre-trained language model
PCT/US2022/040530 WO2023064033A1 (en) 2021-10-12 2022-08-17 Fine-tuning multi-head network from a single transformer layer of pre-trained language model

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US (2) US12512091B2 (https=)
JP (1) JP2024539003A (https=)
KR (1) KR20240089615A (https=)
CN (1) CN118140230A (https=)
GB (1) GB2631139A (https=)
WO (1) WO2023064033A1 (https=)

Families Citing this family (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US12548552B2 (en) * 2021-11-19 2026-02-10 International Business Machines Corporation Dynamic language selection of an AI voice assistance system
US11947935B2 (en) * 2021-11-24 2024-04-02 Microsoft Technology Licensing, Llc. Custom models for source code generation via prefix-tuning
US20240061835A1 (en) * 2022-08-22 2024-02-22 Oracle International Corporation System and method of selective fine-tuning for custom training of a natural language to logical form model
US20240169165A1 (en) * 2022-11-17 2024-05-23 Samsung Electronics Co., Ltd. Automatically Generating Annotated Ground-Truth Corpus for Training NLU Model
US12562163B2 (en) * 2023-05-12 2026-02-24 Servicenow, Inc. Bidirectional assistant for development platforms
CN116774140A (zh) * 2023-06-26 2023-09-19 南京邮电大学 基于残差注意力网络的无网格信号源doa估计方法
US20250005282A1 (en) * 2023-06-29 2025-01-02 Amazon Technologies, Inc. Domain entity extraction for performing text analysis tasks
CN118446218B (zh) * 2024-05-16 2024-11-01 西南交通大学 一种对抗式阅读理解嵌套命名实体识别方法
CA3253531A1 (en) * 2024-06-14 2026-01-19 The Toronto-Dominion Bank Context retrieval for in-context learning model
WO2026000314A1 (en) * 2024-06-27 2026-01-02 Beijing Youzhuju Network Technology Co., Ltd. Model-based task processing
JP7658644B1 (ja) * 2024-10-21 2025-04-08 スパーブエーアイ カンパニー リミテッド 事前学習されたベースモデルに基づいたカスタムモデルを学習する方法及びそれを用いた学習装置{method for training custom model based on pre-trained base model and learning device using the same}
CN119418321B (zh) * 2024-10-30 2025-09-30 上海哔哩哔哩科技有限公司 模型训练方法、用于检测和识别文本的方法及相关装置
CN119418319B (zh) * 2024-10-30 2025-09-30 上海哔哩哔哩科技有限公司 模型训练方法、文本检测方法、装置、介质和程序产品
CN119418320B (zh) * 2024-10-30 2025-09-30 上海哔哩哔哩科技有限公司 一种模型训练方法、装置、介质和程序产品
CN119915374B (zh) * 2025-04-03 2025-11-14 浙江潮汐力科技有限公司 故障监测方法、装置、设备、存储介质和程序产品

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US11138392B2 (en) * 2018-07-26 2021-10-05 Google Llc Machine translation using neural network models
US20200042864A1 (en) 2018-08-02 2020-02-06 Veritone, Inc. Neural network orchestration
US11556778B2 (en) 2018-12-07 2023-01-17 Microsoft Technology Licensing, Llc Automated generation of machine learning models
US20210279596A1 (en) 2020-03-06 2021-09-09 Hitachi, Ltd. System for predictive maintenance using trace norm generative adversarial networks
US20220094713A1 (en) * 2020-09-21 2022-03-24 Sophos Limited Malicious message detection
US12141701B2 (en) * 2021-01-21 2024-11-12 International Business Machines Corporation Channel scaling: a scale-and-select approach for selective transfer learning
US11875898B2 (en) * 2021-05-26 2024-01-16 Merative Us L.P. Automatic condition diagnosis using an attention-guided framework
US20230106669A1 (en) * 2021-09-27 2023-04-06 X Development Llc Binding affinity prediction using neural networks

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US20260080864A1 (en) 2026-03-19
GB2631139A (en) 2024-12-25
JP2024539003A (ja) 2024-10-28
US12512091B2 (en) 2025-12-30
CN118140230A (zh) 2024-06-04
US20230115321A1 (en) 2023-04-13
GB202403625D0 (en) 2024-04-24
WO2023064033A1 (en) 2023-04-20

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