{"created":"2026-02-19T10:21:12.709748+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:02007752","sets":["1164:4179:1771495534039:1771495585049"]},"path":["1771495585049"],"owner":"80578","recid":"2007752","title":["独立成分分析による大規模視覚言語モデルの画像表現の分析"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2026-02-28"},"_buckets":{"deposit":"fbf648c4-739a-4a71-aad9-b5b76242a3e0"},"_deposit":{"id":"2007752","pid":{"type":"depid","value":"2007752","revision_id":0},"owners":[80578],"status":"published","created_by":80578},"item_title":"独立成分分析による大規模視覚言語モデルの画像表現の分析","author_link":[],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"独立成分分析による大規模視覚言語モデルの画像表現の分析","subitem_title_language":"ja"},{"subitem_title":"Exploring Visual Representations in Large-Scale Vision-Language Models via Independent Component Analysis","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"視覚言語モデル","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2026-02-28","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"奈良先端科学技術大学院大学"},{"subitem_text_value":"奈良先端科学技術大学院大学"},{"subitem_text_value":"奈良先端科学技術大学院大学"},{"subitem_text_value":"奈良先端科学技術大学院大学"},{"subitem_text_value":"奈良先端科学技術大学院大学"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Nara Institute of Science and Technology","subitem_text_language":"en"},{"subitem_text_value":"Nara Institute of Science and Technology","subitem_text_language":"en"},{"subitem_text_value":"Nara Institute of Science and Technology","subitem_text_language":"en"},{"subitem_text_value":"Nara Institute of Science and Technology","subitem_text_language":"en"},{"subitem_text_value":"Nara Institute of Science and Technology","subitem_text_language":"en"}]},"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/2007752/files/IPSJ-NL26267026.pdf","label":"IPSJ-NL26267026.pdf"},"date":[{"dateType":"Available","dateValue":"2028-02-28"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-NL26267026.pdf","filesize":[{"value":"16.3 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":"23"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"a79b1343-0f15-494e-ae84-22516f703b5c","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":"北野,雄士"}]},{"creatorNames":[{"creatorName":"西田,悠人"}]},{"creatorNames":[{"creatorName":"坂上,温紀"}]},{"creatorNames":[{"creatorName":"上垣外,英剛"}]},{"creatorNames":[{"creatorName":"渡辺,太郎"}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10115061","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":"2188-8779","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"大規模視覚言語モデル(LVLM)は個別に事前学習された言語モデル(LLM)と視覚エンコーダから構成される．LVLMの内部機序を解明しようとする既存の試みでは，画像情報がテキストの処理に与える影響に焦点が当てられてきた．しかし，画像情報単体での処理についての理解がなければ，それに立脚したテキストの処理を把握することは容易でない．そこで本研究では，独立成分分析を用いてLLM部分における画像表現を層ごとに分析することによって，画像情報の処理過程を解明することを図る．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"9","bibliographic_titles":[{"bibliographic_title":"研究報告自然言語処理（NL）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2026-02-28","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"26","bibliographicVolumeNumber":"2026-NL-267"}]},"relation_version_is_last":true,"weko_creator_id":"80578"},"id":2007752,"updated":"2026-02-19T10:21:16.771703+00:00","links":{}}