{"links":{},"id":2007965,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:02007965","sets":["1164:2240:1771568311705:1771568419073"]},"path":["1771568419073"],"owner":"80578","recid":"2007965","title":["HPC-AutoResearch：AI Scientist v2に基づくフェーズ分離実行と階層記憶によるHPC向け自律研究システム"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2026-03-09"},"_buckets":{"deposit":"2d2d3016-0f48-4351-9940-c7168a4b0f90"},"_deposit":{"id":"2007965","pid":{"type":"depid","value":"2007965","revision_id":0},"owners":[80578],"status":"published","created_by":80578},"item_title":"HPC-AutoResearch：AI Scientist v2に基づくフェーズ分離実行と階層記憶によるHPC向け自律研究システム","author_link":[],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"HPC-AutoResearch：AI Scientist v2に基づくフェーズ分離実行と階層記憶によるHPC向け自律研究システム","subitem_title_language":"ja"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"性能評価とLLM活用技術","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2026-03-09","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"名古屋大学情報学部／理化学研究所計算科学研究センター"},{"subitem_text_value":"名古屋大学大学院情報学研究科"},{"subitem_text_value":"名古屋大学情報基盤センター"},{"subitem_text_value":"理化学研究所計算科学研究センター"},{"subitem_text_value":"九州大学情報基盤研究開発センター"},{"subitem_text_value":"名古屋大学情報基盤センター"},{"subitem_text_value":"名古屋大学情報基盤センター"}]},"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/2007965/files/IPSJ-HPC26203048.pdf","label":"IPSJ-HPC26203048.pdf"},"date":[{"dateType":"Available","dateValue":"2028-03-09"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-HPC26203048.pdf","filesize":[{"value":"5.1 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"14"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"d97ec73f-afc9-4a4d-b4bf-0b1b5ec3d529","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2026 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"樹神,宇徳"}]},{"creatorNames":[{"creatorName":"林,俊一郎"}]},{"creatorNames":[{"creatorName":"椋木,大地"}]},{"creatorNames":[{"creatorName":"横田,理央"}]},{"creatorNames":[{"creatorName":"大島,聡史"}]},{"creatorNames":[{"creatorName":"星野,哲也"}]},{"creatorNames":[{"creatorName":"片桐,孝洋"}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10463942","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":"2188-8841","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"大規模言語モデルによる研究自動化が進む一方，HPC環境ではコンテナ分離やコンパイル型言語への対応，長期的な実験知識の管理といった固有の課題があり，既存の自律研究システムはそのまま適用できない．本研究では，AI Scientist v2[1]を基盤にHPC環境へ適合させた自律研究システムHPC-AutoResearchを提案する．研究実行を計画から実行まで5フェーズに分割するSplit-Phase実行モデルにより，環境構築やコンパイルの失敗を局所化して反復修復を可能にした．さらに，MemGPT[4]の概念を拡張した3層階層記憶を導入し，フェーズ間で失われがちな実験知識を保持・再利用する．Himeno Benchmarkを題材に，コマンドライン上で動作するLLMコーディングエージェントであるClaude Code，Codex，Gemini CLIとの比較実験を行った結果，提案手法は全7評価項目で3/4以上を達成した唯一の手法であり，特に独創性と貢献度で他条件を上回った．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"11","bibliographic_titles":[{"bibliographic_title":"研究報告ハイパフォーマンスコンピューティング（HPC）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2026-03-09","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"48","bibliographicVolumeNumber":"2026-HPC-203"}]},"relation_version_is_last":true,"weko_creator_id":"80578"},"created":"2026-02-25T05:54:01.006329+00:00","updated":"2026-02-25T05:54:05.437479+00:00"}