{"created":"2025-09-02T07:22:29.350320+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:02004151","sets":["1164:1743124304038:1743124498358:1756791535946"]},"path":["1756791535946"],"owner":"80578","recid":"2004151","title":["LoRAによる機密情報を扱うLLM実現の試み"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2025-09-09"},"_buckets":{"deposit":"4c550995-e58f-4dbc-995d-24a733a7fcc3"},"_deposit":{"id":"2004151","pid":{"type":"depid","value":"2004151","revision_id":0},"owners":[80578],"status":"published","created_by":80578},"item_title":"LoRAによる機密情報を扱うLLM実現の試み","author_link":[],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"LoRAによる機密情報を扱うLLM実現の試み","subitem_title_language":"ja"},{"subitem_title":"Attempt to realize LLM handling confidential documents using LoRA","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"DBS","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2025-09-09","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"九州大学工学部"},{"subitem_text_value":"九州大学情報基盤研究開発センター"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/2004151/files/IPSJ-DBS25181010.pdf","label":"IPSJ-DBS25181010.pdf"},"date":[{"dateType":"Available","dateValue":"2027-09-09"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-DBS25181010.pdf","filesize":[{"value":"941.6 KB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"13"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"a24e29ec-8155-4e6c-87fe-910ab6490537","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2025 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"柳原,皓之介"}]},{"creatorNames":[{"creatorName":"伊東,栄典"}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AB0006854X","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2760-0777","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"現代の組織において、業務で生成された膨大な文書がデジタルデータとして蓄積されている。多くの組織内蓄積データは死蔵状態にあり、潜在的な価値が活用されていない。死蔵データ活用にはデータ分析が必要であるけれど、組織内蓄積データは機密情報や個人情報を含むため、クラウド等の外部サービスによる活用が困難である。我々は、機密性文書群を安全に活用するため、データ外部漏洩リスクの無いローカル小規模言語モデル(LLM)のチューニングを試みている。既存の公開LLMを基盤とし、学習用データセットでチューニングする。手法として、LoRA (Low-Rank Adaptation)およびRAG (Retrieval-Augmented Generation)を試みた。LoRA化の処理時間短縮のため、高性能GPUを持つ九州大学のスーパーコンピュータ「玄界」を用いた。機密情報の外部漏洩を避けるため、組織内の閉じたネットワーク環境で動作する低性能GPU搭載PCサーバ上でLoRAまたはRAGに対応したLLMを動作させる。本稿では組織内文書群によるLLMチューニングの実現方法を述べる。またチューニングによる性能評価も検討する。","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告データベースとデータサイエンス（DBS）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2025-09-09","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"10","bibliographicVolumeNumber":"2025-DBS-181"}]},"relation_version_is_last":true,"weko_creator_id":"80578"},"id":2004151,"updated":"2025-09-02T07:44:15.130538+00:00","links":{}}